The Bayes Impact Fellowship Program

Solve the world's toughest problems using data science

Mentor Vesela Gateva, Sr. Data Scientist at Eventbrite, provides fellows with a primer on working with DNA data

About the Fellowship


The Bayes Impact Fellowship is a 12 month full-time program that invites the best and brightest data scientists from top tech companies and universities to work on ambitious data science projects with civic and nonprofit institutions.

Make measurable impact

Data science can bring new perspective to seemingly intractable problems in the world. We focus on a select number of projects that have the potential to change the world. You'll be 100% dedicated to one project at a time and help see through the execution of the solution from scoping to implementation.

Execute ambitious projects. Think big.

We work on ambitious, high impact projects such as:

  • Making emergency dispatch faster by providing fire departments with better dispatch algorithms
  • Reducing recidivism and prison overcrowding by educating parole decisions with risk assessment models
  • Improving economic viability of microfinance nonprofits using fraud detection and credit risk models
  • Discover predictive indicators of neurogenerative disorders like Parkinson's disease before symptoms occur

Fully funded fellowship

Tough problems require focus. Do the work that matters, and let us take care of the rest. The Bayes Impact Fellowship covers living expenses, need-based travel, and equipment. We also provide a collaborative workspace.

Expert mentorship

Receive practical and applied data science guidance from the best in the industry. Every Fellow is provided with a support team of top data scientists and domain experts.

Eligibility and selection criteria

We take the best and brightest minds in data science. Fellows are typically data scientists or individuals with advanced academic degrees in physics, mathematics, statistics, computer science, bioinformatics, or other related fields. We are looking for individuals with top-tier quantitative research skills, data intuition, and a drive for improving the social sector.

The deadline was July 31st, but you can apply off-cycle.

Apply Off-Cycle

Select Program Mentors


Jeffrey Wong

Senior Data Scientist, Netflix

Jeffrey Wong

Senior Data Scientist, Netflix

Uri Laserson

Data Scientist, Cloudera

Uri Laserson

Data Scientist, Cloudera

Pek Lum

Chief Data Scientist, Ayasdi

Pek Lum

Chief Data Scientist, Ayasdi

Brandon Ballinger

Healthcare.gov and Founder, Sift Science

Brandon Ballinger

Healthcare.gov and Founder, Sift Science

Frequently Asked Questions

Have a question? Send it to fellowships@bayesimpact.org


The typical project consists of 2 Bayes Impact Fellows, a project manager, and a small group of project mentors. The Fellows work full-time on social impact projects where they receive industry-leading training, mentorship, and the opportunity to positively change the world with data science. Project managers are staffed on every project to aide in project scoping, data acquisition, and solution implementation.

We accept project applications from civic and nonprofit organizations, but we also independently scope projects on issues we find challenging. We select projects that meet 3 main criteria:

  • Impact - Data science solutions that can really move the needle
  • Feasibility - Relevant data is accessible and significant.
  • Mandate for Change - The project sponsor has the power to implement or create change based on the work that they do

We expect our fellows to come into the program with strong experience in data science, either from years of work or research experience. We do provide a number of personal development and mentorship opportunities including:

  • Social Impact Education - Learn how to apply data science techniques and best practices specific to social impact projects.
  • Weekly Mentorship Sessions - Multiple deep-dive sessions with data scientists and domain experts per week. Activities include code reviews, tool/technique guidance, data strategy, and more.
  • Dinners and Networking - We host intimate dinners and networking sessions with leading social impact leaders, community champions, data scientists, and technology companies.

Our project sponsors typically pay to cover the operations of the project - Fellow stipends, equipment costs, etc. We also receive funding from donations and grants.

No, we only work with nonprofits and civic institutions on social impact projects.

We select bright and talented individuals with top-tier quantitative skills, data inituition, and a drive for social impact.

Good candidates have:

  • A bright and curious mind: the ability to ask the right questions and make sense of messy datasets
  • An advanced degree in statistics, math, computer science, or other quantitative field
  • Previous experience in software engineering or data science; fellows are provided with expert mentorship but are expected to hit the ground running
  • Knowledge of common machine learning techniques
  • A passion for leveraging your unique skill set for social good

Yes, we accept candidates regardless of their beliefs.

Ready to make an impact?

Apply Off-Cycle