Bayes Impact 2014 Fellowship Applications

Solve the world's toughest problems using data science

About the Fellowship

Bayes Impact is a nonprofit that deploys data science teams to work on social impact challenges. The Bayes Impact Fellowship is a 6-12 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

Make a difference. 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, equipment, and provides a collaborative workspace.

Expert mentorship

Learn from the best. 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

In search of the best. 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 still apply late.

Apply now

Advisors + Mentors

Pek Lum

Chief Data Scientist, Ayasdi

Pek Lum

Chief Data Scientist, Ayasdi

Riley Newman

Head of Data Science, Airbnb

Riley Newman

Head of Data Science, Airbnb

Jay Nath

Chief Innovation Officer, SF

Jay Nath

Chief Innovation Officer, SF

Oliver Zahn

Dir. of Berkeley Data Science Institute

Oliver Zahn

Dir. of Berkeley Data Science

Chris Chapo

VP of Data Science, Intuit

Chris Chapo

VP of Data Science, Intuit

Nihar Bhupalam

Lead Data Scientist, Salesforce

Nihar Bhupalam

Lead Data Scientist, Salesforce

John McDonnell

Data Scientist, Square

John McDonnell

Data Scientist, Square

Christopher Moody

Data Scientist, Square

Christopher Moody

Data Scientist, Square

Uri Laserson

Data Scientist, Cloudera

Uri Laserson

Data Scientist, Cloudera

Sudeep Das

Data Scientist, OpenTable

Sudeep Das

Data Scientist, OpenTable

Nick VanWagner

Global Head of Insights, LinkedIn

Nick VanWagner

Global Head of Insights, LinkedIn

Jeffrey Wong

Senior Data Scientist, Netflix

Jeffrey Wong

Senior Data Scientist, Netflix

Program Details

Project Team Structure

Bayes Impact Fellow (you)

Bayes Impact 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.

Civic / Nonprofit Sponsor

Each project is focused on solving a social impact challenging with a nonprofit or civic institution. Our Fellows work closely with these organizations to develop data-driven solutions.

Project Manager

Project managers are staffed on every project to aide in project scoping, data acquisition, and solution implementation. Project managers have management consulting and data science backgrounds.

Training and Mentorship

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.

Logistics

Full-Time Fellowship

Fellows work full-time over the course of the program. Fellows receive intensive data science training, mentorship, and build a network of technologists and social impact leaders.

Stipend and Benefits

Bayes Impact provides Fellows with a stipend to cover living expenses, need-based relocation and transportation, and events. Equipment will also be provided.

Our Workspace in SF

Fellows are expected to relocate to our workspace in San Francisco for the duration of the Fellowship. This allows Fellows to get the most out of the program by working with our mentors, team, and advisors.

Partners and Sponsors



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Interested in becoming a sponsor? Learn about opportunities and benefits.

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Ready to make an impact?