Expert Senior Manager, Data Scientist

Bain & CompanyGeneral Information Job Title Expert Senior Manager, Data Scientist Job ID 102727 Work Areas Analytics, Data & Research, Technology & Engineering Employment Type Permanent Full-Time Location(s) Tokyo Description & Requirements WHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplus Go back Apply Share this job: LinkedIn X Emailfull timeSenior
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General Information Job Title Expert Senior Manager, Data Scientist Job ID 102727 Work Areas Analytics, Data & Research, Technology & Engineering Employment Type Permanent Full-Time Location(s) Tokyo Description & Requirements WHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplus Go backGeneral Information Job Title Expert Senior Manager, Data Scientist Job ID 102727 Work Areas Analytics, Data & Research, Technology & Engineering Employment Type Permanent Full-Time Location(s) Tokyo Description & Requirements WHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplusGeneral InformationGeneral Information

General Information

Job Title Expert Senior Manager, Data Scientist Job ID 102727 Work Areas Analytics, Data & Research, Technology & Engineering Employment Type Permanent Full-Time Location(s) TokyoJob Title Expert Senior Manager, Data Scientist Job ID 102727 Work Areas Analytics, Data & Research, Technology & Engineering Employment Type Permanent Full-Time Location(s) TokyoJob Title Expert Senior Manager, Data ScientistJob TitleExpert Senior Manager, Data ScientistJob ID 102727Job ID102727Work Areas Analytics, Data & Research, Technology & EngineeringWork AreasAnalytics, Data & Research, Technology & EngineeringEmployment Type Permanent Full-TimeEmployment TypePermanent Full-TimeLocation(s) TokyoLocation(s)TokyoDescription & RequirementsDescription & Requirements

Description & Requirements

WHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplusWHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplusWHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplusWHAT 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. 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. WHO YOU’LL WORK WITHAs a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHAT YOU’LL DO As a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplus

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.

WHO YOU’LL WORK WITH

WHO YOU’LL WORK WITHWHO YOU’LL WORK WITH

As a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

As a member of Bain’sAs a member of Bain’sAI, Insights & SolutionsAI, Insights & SolutionsAI, Insights & SolutionsAI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results., you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHAT YOU’LL DO

WHAT YOU’LL DOWHAT YOU’LL DOAs a senior member of the growing Data Science team in Bain’s AIS Group, you will:Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsDevelop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsKeep abreast of new and current data science techniques andtechnologiesParticipate in expert advisory activities that required deep expertise in data science domain

As a senior member of the growing Data Science team in Bain’s AIS Group, you will:

As a senior member of the growing Data Science team in Bain’s AIS Group, you will:As a senior member of the growing Data Science team in Bain’s AIS Group, you will:
  • Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectors
Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectorsCollaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectors
  • Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applicationsTranslate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
  • Develop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.
Develop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.Develop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.
  • Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclients
Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclientsHelp develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclients
  • Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functions
Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functionsEnsure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functions
  • Share learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientists
Share learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientistsShare learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientists
  • Keep abreast of new and current data science techniques andtechnologies
Keep abreast of new and current data science techniques andtechnologiesKeep abreast of new and current data science techniques andtechnologies
  • Participate in expert advisory activities that required deep expertise in data science domain
Participate in expert advisory activities that required deep expertise in data science domainParticipate in expert advisory activities that required deep expertise in data science domainBe an expert advisor in proposal discussionsLead recruiting and onboarding team members asneededThis position will be located in Tokyo ABOUT YOU We are looking for someone who has:Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor 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 initiativesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesSolid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with model explainability and interpretability techniquesProficiencyin Python requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)required
  • Be an expert advisor in proposal discussions
Be an expert advisor in proposal discussionsBe an expert advisor in proposal discussions
  • Lead recruiting and onboarding team members asneeded
Lead recruiting and onboarding team members asneededLead recruiting and onboarding team members asneeded
  • This position will be located in Tokyo
This position will be located in TokyoThis position will be located in Tokyo

ABOUT YOU

ABOUT YOUABOUT YOU

We are looking for someone who has:

We are looking for someone who has:We are looking for someone who has:
  • Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor Information Sciences such as business analytics or informatics
Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor Information Sciences such as business analytics or informaticsAdvanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor Information Sciences such as business analytics or informatics
  • 8-10 years of experience in analytics
8-10 years of experience in analytics8-10 years of experience in analytics
  • 3+ years of experience managing data scientists
3+ years of experience managing data scientists3+ years of experience managing data scientists
  • Shipped production, enterprise scale data products
Shipped production, enterprise scale data productsShipped production, enterprise scale data products
  • Track record of leading and collaborating on strategic initiatives
Track record of leading and collaborating on strategic initiativesTrack record of leading and collaborating on strategic initiatives
  • Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplines
Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplinesStrong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplines
  • Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.
Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.
  • Experience with MLOps– scalable development to deployment of complex data science workflows
Experience with MLOps– scalable development to deployment of complex data science workflowsExperience with MLOps– scalable development to deployment of complex data science workflows
  • Experience with model explainability and interpretability techniques
Experience with model explainability and interpretability techniquesExperience with model explainability and interpretability techniques
  • Proficiencyin Python required
Proficiencyin Python requiredProficiencyin Python required
  • Experience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)required
Experience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)requiredExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience using frameworks like OpenAI is aplus
  • Experience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCP
Experience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCPExperience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCP
  • Experience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequired
Experience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequiredExperience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequired
  • Experience using frameworks like OpenAI is aplus
Experience using frameworks like OpenAI is aplusExperience using frameworks like OpenAI is aplus

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Bain & Company

Expert Senior Manager, Data Sciences, Software and Data Services, Coro

General Information Job Title Expert Senior Manager, Data Sciences, Software and Data Services, Coro Job ID 109009 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New York, San Francisco, Seattle, Silicon Valley, Washington DC Description & Requirements 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 Best Place 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. WHO YOU'LL WORK WITHAbout the Commercial Excellence practiceBain's B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro's software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://www.coro.io/. WHERE YOU'LL FIT WITHIN THE TEAMAbout Coro℠The Coro℠ business unit brings together Bain's proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies. The Impact You'll HaveBain's Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution. The analytics underneath that work are what make it credible, and they are what you will own.We are hiring an Expert Senior Manager, Data Science, to lead data science delivery and methodology across Coro's product suite. 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