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Data Science Environmental Sustainability Evening Jobs

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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 ...

New

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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All JobsData Science Environmental Sustainability Evening Jobs

Data Science Environmental Sustainability Evening information

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$37.5K

$122.7K

$196.5K

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

As of Aug 10, 2026, the average yearly pay for data science environmental sustainability evening 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 the difference between Data Science Environmental Sustainability Evening vs Data Analyst Environmental Sustainability Evening?

AspectData Science Environmental Sustainability EveningData Analyst Environmental Sustainability Evening
Required CredentialsBachelor's or master's in data science, environmental science, or related fields; programming skills in Python/RBachelor's degree in data analysis, statistics, or environmental science; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative projects, research-focused, often in labs or officesData reporting, analysis, and visualization in office settings or remotely
Employer & Industry UsageResearch institutions, environmental agencies, tech companiesEnvironmental consulting firms, government agencies, NGOs

While both roles focus on environmental data, Data Science Environmental Sustainability Evening involves advanced analytics, machine learning, and programming, whereas Data Analyst Environmental Sustainability Evening emphasizes data interpretation, reporting, and visualization. The former is more technical and research-oriented, while the latter is more focused on data presentation and supporting decision-making.

What cities are hiring for Data Science Environmental Sustainability Evening jobs? Cities with the most Data Science Environmental Sustainability Evening 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 Evening jobs? States with the most job openings for Data Science Environmental Sustainability Evening jobs include:
Data Science Environmental Sustainability Evening jobs near you

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 3 days ago

New

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.