DrivenData brings the transformative power of data science to organizations tackling the world’s biggest challenges. We run online machine learning challenges with social impact, and we work directly with mission-driven organizations to drive change through data science and engineering. Since 2014 we’ve worked with more than 35 organizations across 50+ projects in areas like international development, health, education, research and conservation, and public services.

We pride ourselves on being a great place to work and to learn. We take the development of our team members very seriously and we value the priorities that we each have in our lives at work and outside of work. We like to tackle tough problems as a team. We help each other develop clean, well-organized, well-documented code in service of correct and reproducible data science. We believe the work we do should positively impact people’s lives.

Ultimately, we're a team of smart, passionate data scientists and engineers interested in doing good work for good reason. We're looking for more great people in Boston or the Bay area. We're excited to hear from you!

We are looking for a talented software engineer who is interested in using their job to take on tough social challenges, while growing their data acumen and building real-world applications. As a core member of a small team your role will include managing code development, brainstorming approaches to engineering problems, working closely with data science and machine learning developers, and taking an open and constructive mindset to getting things done across multiple projects. You’ll work directly with data scientists that started their careers as software engineers, bringing an experienced understanding of software processes alongside opportunities to learn new quant skills, tools, and ways of approaching data applications.

Skills and responsibilities

  • We are looking for a talented Python engineer who is interested in data (possibly looking to transition into data engineering or data science).
  • Advanced proficiency in Python and comfort with Linux a necessity. Good opportunity to learn the quant skills necessary to work in the data space. No need to have a background in math or a CS degree, but the job will involve a lot of quantitative thinking so the applicant should not be afraid of math.
  • Working on a small team means doing a little bit of a lot of things. We're looking for somebody who can ask the right questions to figure out what is important, iterate between brainstorming together and working independently, and exercise sound engineering judgment to make reasonable decisions under conditions of ambiguity.
  • Doing client-facing work involves turning uncertainty into a reasonable path forward. As a team, we value arguments for how to proceed based on evidence, and we want somebody who will present their opinion and engage in a discussion around the best way forward.
  • We value a positive attitude and the abilities to adapt, learn, and collaborate.
  • We embrace the individuality of our employees and we celebrate each other's differences. Our work thrives on the unique perspective brought by each person on our team
Here are some of the things you'd be doing on an ordinary day:

Internal software development
  • Maintain our Python codebase for, fix bugs, add features, safely refactor and maintain test coverage.
  • Develop new internal tooling and improve on existing apps.
Client-facing software development
  • Build a variety of applications, generally small green-field proofs of concept.
  • Quickly learn and adopt new technologies on demand based on client needs; a typical engagement may include at least one data technology we haven't all worked with before.
  • Generally applications involve frontend and backend development, so modern JS libraries and best practices are a plus, especially React or Vue.js.
  • Often our data-driven applications use sqlalchemy, pandas, numpy and scikit-learn to manage data and build models so familiarity with these libraries is a plus.
Light DevOps Tasks
  • Spin up EC2 instances and other AWS maintenance tasks.
  • Log into a server remotely to check on job status or debug issues.
  • Set up databases both locally and in the cloud.


  • Location:
    Berkeley, CA / Boston, MA / Denver, CO | REMOTE currently, ONSITE likely
  • This job is remote friendly.
  • Deadline: n/a


Minimum qualifications

Critical skills
  • Python (advanced)
  • Linux (advanced)
  • SQL (intermediate to advanced)
  • Must be able to learn quickly by reading appropriate documentation in order to write clean, idiomatic code.

Preferred qualifications

Nice to have
  • Experience using IaaS like Amazon AWS or PaaS like Heroku
  • Experience using Docker
  • Exposure to big data tools like Dask or PrestoDB, or familiarity with the underlying ideas like MapReduce