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Esg Data Science Jobs (NOW HIRING)

The Sustainability Grid

$150 - $200/hr

Martens to manage climate and ESG data, produce audit-ready sustainability metrics, support ... This is an applied science position rather than a conventional academic research role. Your ...

The Sustainability Grid

$100 - $125/hr

Dr. Bronson's Hiring Impact Analyst to Advance ESG Data in California Dr. Bronson's is a family ... Conduct peer-reviewed scientific literature research. * Support Fair Trade data collection ...

New

Bloomberg

Model Validation Expert

Manhattan, NY · On-site

$150 - $200/hr

Assess ESG scoring methodologies for conceptual soundness, data source quality, weighting ... PhD in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, Econometrics, or ...

Bloomberg LP

Model Validation Expert

New York, NY · On-site

Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data ... Computer Science, Econometrics, or related quantitative field 10+ years of experience in ...

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Esg Data Science information

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$142.5K

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How much do esg data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for esg data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is ESG data science?

ESG data science is the application of data analysis, machine learning, and statistical techniques to environmental, social, and governance (ESG) data. Professionals in this field collect, process, and interpret large volumes of data to help organizations assess their ESG performance and make informed decisions about sustainability and corporate responsibility. ESG data scientists work with both structured and unstructured data from a variety of sources, including reports, news, and third-party ESG ratings. Their work supports regulatory compliance, investment analysis, and the development of responsible business strategies.

What are the key skills and qualifications needed to thrive as an ESG data scientist?

To thrive as an ESG Data Scientist, you need a strong background in data analysis, statistics, and environmental, social, and governance (ESG) frameworks, often supported by a degree in data science, finance, or sustainability. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with ESG reporting standards such as GRI or SASB are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These skills are essential for providing accurate ESG analytics that guide organizational strategy and support compliance with regulatory and investor demands.

How do ESG data science professionals typically collaborate with other teams to drive meaningful sustainability initiatives?

ESG Data Science professionals frequently work alongside sustainability, compliance, and investment teams to interpret and leverage environmental, social, and governance data. They play a key role in translating complex datasets into actionable insights, often presenting their findings to both technical and non-technical stakeholders. Collaboration is essential, as ESG data scientists must ensure their analyses align with regulatory requirements and corporate sustainability goals. Regular communication and cross-functional teamwork are standard, helping to drive impactful decision-making across the organization.

What is the difference between Esg Data Science vs Data Analyst?

AspectEsg Data ScienceData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; knowledge of ESG metricsDegree in Data Analysis, Statistics, or related fields; proficiency in data tools
Work EnvironmentTech-driven, research-focused, often within sustainability or finance sectorsBusiness or finance departments, focusing on reporting and insights
Employer & Industry UsageFinancial firms, ESG consulting, sustainability departmentsCorporations, finance, marketing, and consulting firms
Common Search & ComparisonYesYes

ESG Data Scientists focus on developing models and analyzing data related to environmental, social, and governance factors, often requiring advanced statistical and programming skills. Data Analysts typically handle data collection, cleaning, and reporting to support business decisions. While both roles work with data, ESG Data Science emphasizes predictive modeling and sustainability metrics, whereas Data Analysts focus on descriptive analytics and reporting.

Are ESG Data Science analysts in demand?

ESG Data Science analysts are increasingly in demand as companies focus on sustainability and responsible investing. They utilize data analysis, machine learning, and ESG metrics to support corporate sustainability strategies, with job growth driven by the expanding importance of environmental, social, and governance factors in investment decisions.

Is ESG data science a good career path?

ESG data science is a growing field that combines data analysis, environmental, social, and governance factors, making it valuable for companies focusing on sustainability and responsible investing. Professionals in this area typically use skills in data modeling, programming, and ESG metrics, with demand increasing across finance, consulting, and corporate sectors. It offers opportunities for specialization and career advancement in a multidisciplinary environment.

What are popular job titles related to Esg Data Science jobs?

For Esg Data Science jobs, the most frequently searched job titles are:

Infographic showing various Esg Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Sustainability Systems and Analytics Manager

Indianapolis, IN • On-site

Corteva Agriscience
Crop Farming • 10K+ employees
Learn more about Corteva Agriscienceexternal

$109K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
We are seeking a Sustainability Systems and Analytics Manager - Low-Code Data Engineer to oversee and enhance Corteva's sustainability technology solutions. This role will ensure the reliability, performance, and continuous improvement of ESG reporting tools, data pipelines, dashboards, and analytics platforms, including Microsoft Fabric, Microsoft Sustainability Manager (MSM), and Environmental Resilience Analytics (ERA). The successful candidate will play a key role in advancing sustainability reporting, data governance, compliance, and infrastructure optimization across the organization. This role will will be based at our Global Headquarters in Indianapolis, IN. with our Hybrid work shedule.
What You'll Do:
  • Own and resolve data and metric calculation issues across MSM and ERA.
  • Maintain dashboards and reports for internal and external stakeholders.
  • Manage system interfaces and integrations (upstream/downstream).
  • Ensure compliance with sustainability regulations and standards.
  • Support data analysis and insights generation.
  • Coordinating with data leads and system owners.
  • Maintain and update configurations in Microsoft Sustainability Manager (MSM) and Fabric.
  • Apply updates and patches from Microsoft GIT to MSM and related Power Platform applications.
  • Oversee license management and renewals.
  • Manage data ingestion, transformation, and storage pipelines in Fabric.
  • Implement and monitor security protocols and data governance controls in Power Platform and Fabric environments.
  • Integrate systems and tools across the Microsoft sustainability tech stack.
  • Optimize cloud resources and ensure system uptime and backups in Power Platform Admin Center and Fabric Admin Portal.
  • Lead change management for new data flows and notification systems.
  • Maintain internal knowledge base and training materials.
  • Manage a backlog of feature enhancements and prioritize updates.
  • Enhance methodologies, reporting templates, and dashboard visualizations.
  • Re-run data jobs and upload remediated data during error handling.
  • Perform manual data runs outside scheduled freeze dates as needed.

What Skills You Need:
  • Bachelor's or Master's degree(s) in Sustainability, Data Science, Information Systems, or related field.
  • Proficiency in Microsoft Power Platform (Power BI, Power Automate, Power Apps, Dataverse, Fabric Compute).
  • Experience with Microsoft Fabric, Lakehouse, Delta Lake, Azure SQL, Azure Blob Storage, and One-Lake Architecture(s).
  • Familiarity with MSM, ArcGIS, and ESG data schemas.
  • Strong understanding of data governance, compliance, and security protocols.
  • Experience with cloud resource monitoring and optimization.
  • undefined
  • Ability to analyze ESG data and generate actionable insights.
  • Experience in dashboard design and report automation.
  • Knowledge of sustainability frameworks (CSRD, TCFD, CDP, ISSB) and the GHG Protocol.
  • undefined
  • Experience managing data-change in data collection and reporting processes.
  • Ability to prioritize and manage a backlog of enhancements.
  • Strong documentation and knowledge base management skills.
  • undefined
  • Excellent communication and stakeholder engagement.
  • Strong problem-solving and troubleshooting abilities.
  • Collaborative mindset with cross-functional teams (IT, ESG, Data Owners).

Skills that are nice to have:
  • 5+ years of experience in ESG reporting or sustainability technology management.
  • 3+ Years experience in Managing Fabric One-Lake, Synapse Analytics, Databricks workspaces for a global enterprise.
  • Certifications in Microsoft Power Platform or Azure are a plus.

#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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