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Data Science Environmental Sustainability Jobs (NOW HIRING)

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Data Scientist

San Francisco, CA

You will work within a collaborative, innovative environment where your insights will shape our ... data science projects are scalable and sustainable. * Assist in the data governance process to ...

Skanska

$109K/yr

A relevant environmental qualification, such as a degree or equivalent in Environmental Management, Environmental Science, Ecology, Sustainability, or a related discipline. * Experience working in ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

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How much do data science environmental sustainability jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science environmental sustainability in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Data Science Environmental Sustainability?

A Data Science Environmental Sustainability job involves using data analytics, machine learning, and statistical modeling to address environmental challenges. Professionals in this field analyze data related to climate change, energy consumption, waste management, and resource conservation to drive sustainable solutions. They work with diverse datasets to identify trends, optimize processes, and support decision-making for businesses, governments, and organizations focused on sustainability. This role combines expertise in data science with environmental science to create data-driven insights that promote ecological responsibility.

What are the key skills and qualifications needed to thrive in Data Science Environmental Sustainability?

A successful professional in Data Science Environmental Sustainability requires a robust background in data analysis, machine learning, environmental science, and typically a degree in a quantitative, environmental, or data-focused field. Familiarity with analytical tools such as Python, R, GIS software, and data visualization platforms, as well as certifications like Certified Data Scientist or LEED accreditation, are highly valued. Strong problem-solving, collaborative mindset, and effective communication skills enable integration of complex data with environmental insights. These abilities are vital for driving data-driven decision-making that addresses real-world sustainability challenges in diverse settings.

What does a Data Science Environmental Sustainability do?

In a Data Science Environmental Sustainability role, your daily responsibilities may include collecting and analyzing large environmental data sets, building predictive models to assess environmental risks, and creating visualizations to communicate findings to both technical and non-technical stakeholders. You might also collaborate with engineers, environmental scientists, and policy experts to design strategies that reduce environmental impact. Regular tasks often involve report writing, data cleaning, programming, and presenting actionable insights to guide sustainability initiatives. These activities are usually performed both independently and as part of multidisciplinary teams, ensuring diverse perspectives contribute to effective solutions for environmental challenges.

More about Data Science Environmental Sustainability jobs
What cities are hiring for Data Science Environmental Sustainability jobs? Cities with the most Data Science Environmental Sustainability job openings:
What are the most commonly searched types of Data Science Environmental Sustainability jobs? The most popular types of Data Science Environmental Sustainability jobs are:
What states have the most Data Science Environmental Sustainability jobs? States with the most job openings for Data Science Environmental Sustainability jobs include:
What job categories do people searching Data Science Environmental Sustainability jobs look for? The top searched job categories for Data Science Environmental Sustainability jobs are:
Data Science Environmental Sustainability jobs near you
Infographic showing various Data Science Environmental Sustainability job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 4 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.