Data Scientist

KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team. In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.WHAT YOU WILL DO:Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.Requirements5+ years of experience in data engineering, analytics, or applied data science, with a strong background in energy systems, sustainability, or ESG reporting.Proven track record of designing and implementing scalable ETL pipelines with an emphasis on data quality, consistency, and operational performance.Hands-on experience with energy-related datasets, including advanced metering data, utility bills, and building metadata.Strong understanding of ESG frameworks and sustainability metrics such as NABERS, GRESB, and ENERGY STAR.Proficiency in Python, SQL, and experience working with cloud-based data platforms (e.g., AWS, GCP, or Azure).Experience building ML/AI models for forecasting, optimization, and anomaly detection in the context of energy or building data.Self-starter mindset with the ability to work independently, identify challenges proactively, and deliver end-to-end solutions.Passion for sustainability, energy efficiency, and building data-driven products that support climate and ESG goals.BenefitsCompetitive salary based on experience Discretionary Bonus Program Career Development Program and opportunities to grow within the company Flexible Paid Time OffComprehensive Health Insurance Package Dynamic team and challenging projects Custom-tailored onboarding experience Welcoming and friendly work environment Social events and team activitiesJOIN THE TEAMKODE Labs is a real estate technology company founded in 2017 with a mission to change the way people, buildings, and systems operate. Headquartered in Detroit, Michigan, we are a driving force behind the adoption of smart building technology. To scale our presence across numerous cities and countries, we depend on our team of talented, ambitious people who go above and beyond to create value for our clients.When you join the KODE Labs team you can create your own career. Whether you have years of experience or are just starting, we help you realize your full potential and achieve your goals.If KODE Labs sounds like the place for you, we’d love to hear your story, so please apply through our online application form. Only shortlisted candidates will be contacted.KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team. In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.WHAT YOU WILL DO:Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.

KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team.

KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team.KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team.KODE Labs, headquartered in Detroit, Michigan, is seeking a full-time Data Scientist to join our growing EnerG team.KODE Labs, headquartered inKODE Labs, headquartered inDetroit, MichiganDetroit, MichiganDetroit, Michigan, is seeking a full-time, is seeking a full-timeData ScientistData ScientistData Scientistto join our growing EnerG team.to join our growing EnerG team.

In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.

In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.In this role, you’ll work at the forefront of data science, energy analytics, and ESG reporting—helping to revolutionize smart building intelligence. You will lead the design and deployment of scalable, high-impact data solutions, including ETL pipelines, forecasting models, and performance analytics. Your work will generate actionable insights, improve energy efficiency, and support ESG compliance across thousands of buildings powered by the KODE OS platform.

WHAT YOU WILL DO:

WHAT YOU WILL DO:WHAT YOU WILL DO:WHAT YOU WILL DO:WHAT YOU WILL DO:WHAT YOU WILL DO:WHAT YOU WILL DO:

• Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.

Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.

Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.Design and maintain scalable data pipelines to process advanced metering infrastructure (AMI), utility bills, tariffs, and building metadata with high consistency and reliability.

• Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.

Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.

Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.Develop machine learning models for forecasting energy usage, detecting anomalies, and optimizing building performance at both asset and portfolio levels.

• Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.

Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.

Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.Benchmark building performance using interval and utility data, supporting compliance with industry-standard KPIs and ESG frameworks such as NABERS and GRESB.

• Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.

Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.

Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.Stabilize and enhance the EnerG data architecture within KODE OS to support high-performance analytics and future scalability.

• Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.

Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.

Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.Leverage large-scale building data to uncover usage patterns, regional trends, and global insights that inform product strategy and deliver customer value.

• Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.

Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.

Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.Collaborate cross-functionally with data scientists, engineers, and product managers to deliver impactful solutions and scale intelligent building features across the platform.