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 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.
Think big. We work on ambitious, high impact projects such as:
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.
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.
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.
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.
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 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.
Learn how to apply data science techniques and best practices specific to social impact projects.
Multiple deep-dive sessions with data scientists and domain experts per week. Activities include code reviews, tool/technique guidance, data strategy, and more.
We host intimate dinners and networking sessions with leading social impact leaders, community champions, data scientists, and technology companies.
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.
Bayes Impact provides Fellows with a stipend to cover living expenses, need-based relocation and transportation, and events. Equipment will also be provided.
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.
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Data is underleveraged in the social sector. Nonprofits and civic organizations lack the resources to create data-driven solutions from their wealth of data. At Bayes Impact, we believe that the same data science techniques that are used in innovative technologies can be used to solve many of the world's biggest problems.
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:
Our project sponsors typically pay a nominal fee 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:
Yes, we accept candidates regardless of their beliefs.