Lead, Data Scientist

Bain & CompanyGeneral Information Job Title Lead, Data Scientist Job ID 107282 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New Delhi Description & Requirements COMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is required Go back Apply Share this job: LinkedIn X Emailfull timeLead
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General Information Job Title Lead, Data Scientist Job ID 107282 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New Delhi Description & Requirements COMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is required Go backGeneral Information Job Title Lead, Data Scientist Job ID 107282 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New Delhi Description & Requirements COMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is requiredGeneral InformationGeneral Information

General Information

Job Title Lead, Data Scientist Job ID 107282 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New DelhiJob Title Lead, Data Scientist Job ID 107282 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New DelhiJob Title Lead, Data ScientistJob TitleLead, Data ScientistJob ID 107282Job ID107282Work Areas Analytics, Data & ResearchWork AreasAnalytics, Data & ResearchEmployment Type Permanent Full-TimeEmployment TypePermanent Full-TimeLocation(s) New DelhiLocation(s)New DelhiDescription & RequirementsDescription & Requirements

Description & Requirements

COMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is requiredCOMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is requiredCOMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is requiredCOMPANY PROFILEBain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. The RoleYou’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. Position SummaryAs a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies. Essential FunctionsDevelop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional teamDevelop and maintain long-lasting models, algorithms and tools that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholdersCollaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use casesTransformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysisDefine and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviewsSupport model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutionsCollaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysisEstablish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use casesHelp prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution pathsProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in caseworkStay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform EducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plusExperience• 5 years minimum experience• 3+ years of experience in analyticsKnowledge, Skills and Abilities:RequiredProficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflowsExperience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environmentsStrong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureExperience working according to agile principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teamProfessional knowledge of English and German is required

COMPANY PROFILE

COMPANY PROFILECOMPANY PROFILE

Bain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.

Bain & Company is a global consultancy that helps the world’s most ambitious changemakers define the future.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

WHAT MAKES US A GREAT PLACE TO WORK

WHAT MAKES US A GREAT PLACE TO WORKWHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

The Role

The RoleThe Role

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.Data Science & Machine Learning Engineering

Position Summary

Position SummaryPosition Summary

As a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies.

As a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the world’s largest companies.Lead Data Scientist,

Essential Functions

Essential FunctionsEssential Functions
  • Develop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional team
Develop data science and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data scientist and expert within a cross-functional team
  • Develop and maintain long-lasting models, algorithms and tools that support internal or client needs
Develop and maintain long-lasting models, algorithms and tools that support internal or client needs
  • Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions
Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions
  • Collaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholders
Collaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholders
  • Collaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use cases
Collaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use cases
  • Transformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysis
Transformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysis
  • Define and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviews
Define and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviews
  • Support model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutions
Support model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutions
  • Collaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysis
Collaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysis
  • Establish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use cases
Establish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use cases
  • Help prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution paths
Help prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution paths
  • Provide technical guidance to external clients and internal stakeholders in Bain
Provide technical guidance to external clients and internal stakeholders in Bain
  • Contribute to industry-leading innovations that translate into great impact for clients in casework
Contribute to industry-leading innovations that translate into great impact for clients in casework
  • Stay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform
Stay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform

Education

EducationEducationAdvanced degree in Computer Science, Engineering, Econometrics, Statistics or Information SciencesPhD is a plus
  • Advanced degree in Computer Science, Engineering, Econometrics, Statistics or Information Sciences
Advanced degree in Computer Science, Engineering, Econometrics, Statistics or Information Sciences
  • PhD is a plus
PhD is a plus

Experience

ExperienceExperience

• 5 years minimum experience

• 5 years minimum experience

• 3+ years of experience in analytics

• 3+ years of experience in analytics

Knowledge, Skills and Abilities:

Knowledge, Skills and Abilities:Knowledge, Skills and Abilities:

Required

Required
  • Proficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflows
Proficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflows
  • Experience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions
Experience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions
  • Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)
Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)
  • Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake
Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake
  • Experience with Cloud platforms and services (AWS, Azure, GCP, etc.)
Experience with Cloud platforms and services (AWS, Azure, GCP, etc.)
  • Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environments
Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environments
  • Strong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architecture
Strong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architectureStrong foundation in machine learning and deep learningStrong foundation in machine learning and deep learning
  • Experience working according to agile principles
Experience working according to agile principles
  • Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
  • Curiosity, proactivity and critical thinking
Curiosity, proactivity and critical thinking
  • Ability to collaborate with people at all levels and with multi-office/region team
Ability to collaborate with people at all levels and with multi-office/region team
  • Professional knowledge of English and German is required
Professional knowledge of English and German is requiredProfessional knowledge of English and German is required

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You will set the analytical approach on our most complex client engagements, lead the teams that deliver them, and make the calls on modeling design, validation, and where a bespoke analysis should become a productized capability. This is a senior, client-facing role: you will work directly with Bain partners and client executives, and you will be the person expected to defend the methodology in the room.These capabilities power Coro's product suite, such as MoneyMap®, which builds a granular, bottoms-up view of market opportunity, and the repeatable analytics workflows behind Bain's B2B go-to-market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis. The work spans propensity and predictive scoring, TAM and market sizing, entity resolution and data matching across third-party sources, and GenAI-driven classification and enrichment at scale. The role also includes ownership of the analytics and delivery of our pricing products, including ProfitCube.You will also help build the capability itself, through recruiting, coaching, and raising the standard of how the team works, in keeping with Bain's apprenticeship model. You will have opportunities to work with major AI ecosystem partners through Bain's partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings. WHAT YOU'LL DOAs a senior member of the Coro data science team, you will:Lead the delivery of Coro data science solutions across multiple concurrent client engagements, owning scope, methodology, quality and pace, and stepping in personally where the analytical problem warrants itCollaborate closely with and influence Bain case teams, partners and senior client executives, framing commercial problems and translating them into analytical approaches and clear business recommendationsDevelop and deploy production machine learning and analytical models that drive Coro solutions, including propensity and predictive scoring, TAM and market opportunity sizing, customer segmentation, entity resolution and data matching, and enrichment pipelines built on third-party data sourcesOwn the analytics and delivery of Coro's pricing products, including ProfitCubeOwn the technical direction for GenAI-enabled analytical workflows, including LLM-based classification, enrichment and validation, and set the standards the team applies to prompt design, evaluation and output quality assuranceDevelop Coro intellectual property and identify new opportunities for data science to extend the product suite, ensuring that repeatable analyses become re-usable frameworks, models and components rather than one-off case workWork with Coro product managers and practice leadership to shape the roadmap, prioritize analytical features, and design the optimal approach to product deliveryAct as an expert advisor in proposal, pre-sales and pitch discussions, scoping the analytical approach, sizing the work, and supporting commercial conversations with clientsLead and develop on-shore and off-shore delivery teams, providing coaching on problem-solving, work planning and data science techniques, and engaging constructively in the mutual feedback processKeep abreast of new and current data science techniques and technologies, and assess where they create real advantage for our clients and our productsShare learnings and drive adoption of best demonstrated practices across the Coro and wider data science community, and work together to create a great working environment that attracts other great data scientistsLead recruiting and onboarding of team members as needed, and identify opportunities to support the growth and scaling of the Coro business unit ABOUT YOUThis role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office. Willingness to travel to client locations (expected 20-40%, potential peak of 60%).We are looking for someone who has:Advanced degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics8-10 years of experience in analytics3+ years of experience managing data scientistsShipped production, enterprise scale data productsTrack record of leading and collaborating on strategic initiatives, and of owning client relationships or workstreams end to endExperience in B2B commercial or go-to-market analyticsStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from other disciplinesSolid fundamental knowledge of supervised and unsupervised machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, sequence modeling, NLP/NLU, word and document embeddings, self-attention and transformersExperience with entity resolution, fuzzy matching and deduplication across disparate third-party data sourcesExperience with large language models, generative AI applications and prompt engineering for data classification, enrichment and analysisExperience with MLOps, including scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiency in Python and SQL requiredExperience in machine learning frameworks and tools (e.g. scikit-learn, XGBoost, pandas, NumPy) requiredExperience with ETL processes, data pipeline development and relational databases at scaleExperience with large-scale distributed computing and cloud platforms such as AWS, Azure or GCPExperience with visualization platforms such as TableauPreferredMBA, or PhD in a technical fieldBackground in consulting, professional services, or B2B analytics environmentsExperience with pricing or profitability analytics in a B2B settingExperience supporting deployment of SaaS or DaaS solutions with clientsU.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain's best in class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:In California, Washington state, Washington DC, New York, Illinois, Georgia, Texas and Massachusetts States, the good-faith, reasonable annualized full-time salary range for this role is between $164,500 - $219,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelAnnual discretionary performance bonusThis role may also be eligible for other elements of discretionary compensation4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start dateBain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheckGenerous paid time off, including parental leave, sick leave and paid holidaysFully vested 401(k) company contributionPaid Life and Long-Term Disability insuranceFor all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Go back Apply Share this job: LinkedIn X EmailRemotefull timeSenior$164.5K–219K
posted 9 days ago