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Data Science Social Good Jobs (NOW HIRING)

Dstillery

Applied Researcher, Data Science

New York, NY · On-site +1

... quantitative social science) is preferred, or a M.S. in Machine Learning or statistics with at ... Experience using real data to solve real problems. * Expertise in statistical modeling, machine ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... paid social, paid search, programmatic, and linear/streaming * Active, hands-on practitioner with ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... paid social, paid search, programmatic, and linear/streaming * Active, hands-on practitioner with ...

Athenago

Data Science Intern

Wilmington, DE · On-site

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

New

GDIT

Human Performance Data Scientist II

Fort Liberty, NC · On-site

$83.93K - $113.55K/yr

Master's or Doctoral degree in quantitative science, social science or related discipline. * Must have at least 3 years of research experience in academic, social services, government, healthcare or ...

GDIT

Human Performance Data Scientist II

San Diego, CA · On-site

$83.93K - $113.55K/yr

Master's or Doctoral degree in quantitative science, social science or related discipline. * Must have at least 3 years of research experience in academic, social services, government, healthcare or ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

New

Knowesis Inc.

Data Scientist II

Camp Lejeune, NC

Data Scientist II Location: Camp Lejeune, North Carolina Work Environment: On Site Clearance ... Master's or Doctoral degree in quantitative science, social science or related discipline is ...

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$23K

$89.3K

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How much do data science social good jobs pay per year?

As of May 31, 2026, the average yearly pay for data science social good in the United States is $89,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $124,000.00 per year, depending on experience, location, and employer.

What is a Data Science Social Good job?

A Data Science Social Good job applies data science, machine learning, and analytics to solve social challenges in areas like public health, education, criminal justice, and environmental sustainability. These roles often exist in nonprofits, government agencies, or mission-driven organizations and focus on using data for ethical and impactful decision-making. Professionals in this field work with messy, real-world data to develop models and insights that improve societal outcomes. The work often involves collaboration with policymakers, researchers, and stakeholders to ensure data-driven solutions align with public needs.

What are the key skills and qualifications needed to thrive in the Data Science Social Good position, and why are they important?

To thrive in a Data Science Social Good role, you need strong analytical, statistical, and programming skills, often backed by a degree in data science, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with open data and impact measurement frameworks, is highly valued. Outstanding communication, problem-solving abilities, and a genuine passion for social impact are key soft skills that differentiate top candidates. These skills are essential for interpreting complex data sets to drive solutions that address real-world social challenges while collaborating effectively with diverse stakeholders.

What types of projects do Data Science Social Good professionals typically work on, and how do they impact the community?

Data Science Social Good professionals often work on projects that analyze public health trends, support environmental sustainability, improve education outcomes, or address economic inequality. These projects commonly involve gathering and interpreting large data sets to develop actionable insights for non-profits, government agencies, or community organizations. By collaborating closely with subject-matter experts and stakeholders, data scientists help design equitable solutions that directly benefit communities. The work can be both challenging and rewarding, as the role continually balances technical rigor with real-world impact.
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What cities are hiring for Data Science Social Good jobs? Cities with the most Data Science Social Good job openings:
What are the most commonly searched types of Data Science Social Good jobs? The most popular types of Data Science Social Good jobs are:
What states have the most Data Science Social Good jobs? States with the most job openings for Data Science Social Good jobs include:
What job categories do people searching Data Science Social Good jobs look for? The top searched job categories for Data Science Social Good jobs are:
Data Science Social Good jobs near you
Infographic showing various Data Science Social Good job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $89,336 per year, or $43 per hour.
Applied Researcher, Data Science

Applied Researcher, Data Science

Dstillery

New York, NY • On-site, Remote

Full-time

Posted 6 days ago

Job description

Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance.
About the team:
Data Science is at the core of our offerings at Dstillery, and as a result all members of our Data Science team have the opportunity to make an impact on our company and the industry. The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. We focus on building high performing products for our clients with integrity and transparency, and we have a commitment to the development of privacy friendly solutions. As a Applied Researcher on the Data Science team you will play a critical role in bringing new products to market.
Role:
  • Prototype innovative ideas, conduct experiments, and iterate quickly to develop data-driven solutions for complex business challenges
  • Independently work on end-to-end research projects while actively collaborating with a team of data scientists
  • Present and promote results to internal stakeholders and external clients and partners.
  • Support and improve existing data science products
  • Analyze large, complex, and noisy datasets to extract actionable insights and support data-driven decision-making
  • Design, implement and evaluate machine learning and statistical methods to perform exploratory data analysis, data storytelling and product development
  • Design and execute A/B tests and experiments to optimize product performance and maximize revenue growth
  • Pursue patents where applicable
  • Contribute to thought leadership in the community with presentations and publications

Qualifications:
  • Independent research experience is mandatory. A Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) is preferred, or a M.S. in Machine Learning or statistics with at least 3 years of independent research.
  • Experience using real data to solve real problems.
  • Expertise in statistical modeling, machine learning, and fluency in the related technical tools.
  • Interest in applying machine learning to large datasets to solve business problems.
  • Knowledge of current large language models and generative AI tools and an interest in applying them to data products.
  • Excellent oral and written communication skills; comfort in a client-facing role.
  • A track record in contributing to publications and/or presentations in a quantitative field.
  • Intermediate programming skills.
  • You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL

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