Change Research, a Public Benefit Company
Title: Data Scientist
Status: Full-time, non-exempt
Location: Palo Alto, CA; remote will be considered
Salary: $90,000-$150,000, commensurate with experience; plus equity; health, dental, and vision insurance; flexible PTO plan and company holidays
You are committed to giving back to your community, fighting for what you believe in, and making impactful choices in your everyday life. You wish your career could reflect your commitment to civic engagement, but you’re not sure if there are really jobs that equally value social impact, tech innovation, and business success. There are.
In 2017, we figured out a new way to quickly, affordably, and accurately measure public opinion online. We use this technology to guide forward-thinking candidates and causes and create winning strategies with them.
Change Research is innovating to solve critically-important problems at the intersection of data, social science, and politics. And in doing this, we hope to make our democracy better.
Ensuring a diverse and inclusive workplace where we learn from each other is core to our values. We invite folks with different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Join us.
About the Role:
As a Data Scientist, you’ll be involved in all aspects of our analytics, research, model development, and data pipeline. We’re a small but growing company and each team member contributes in a meaningful way. We interview millions of voters through our platform -- a novel dataset with tremendous utility for political campaigns. On any given day, you might be building a model to find swing voters, or cleaning data for our political team’s analysis, or optimizing the way we find survey respondents.
In your first weeks:
Expected skills: best-in-class facility with Python (preferably) and/or R (acceptable) as well as SQL; team-based experience with Github; aptitude for working with datasets up to 1TB; experience building predictive models and applying statistics to industrial problems
Example project: build a data pipeline to make available to our political team’s analysis
What you’ll learn: the technology we’ve developed to help campaigns win
By the end of the year, as campaigns are just gearing up for 2020:
Expected skills: complete familiarity with our codebase and tech stack, so that you can commit production-ready code
Example project: building a model to find voters sympathetic to gun-control legislation
What you’ll learn: how campaigns use (or don’t yet use) data; an intimate knowledge of our amassed polling data, including political attitudes across the country
In 2020 and Beyond:
Expected skills: solve novel problems, and formulate your own product ideas that anticipate problems before they come up. Write code that rivals that of a senior engineer, and introduce new modeling techniques to the team.
Example project: design an Auto ML process for predicting novel variables
What you’ll learn: How to be part of a growing data science team, contributing both ideas and technical prowess. Become an integral part of our data science operation and help the company grow its impact in Democratic politics
A successful member of our team will demonstrate the curiosity to try new things, but the self-discipline to prize results over technique. We’re open to hiring for a range of levels. The specific job will be commensurate with a candidate’s work experience and potential. Political experience is not required, but if you don’t have a passion for it you might burn out.
Compensation and work environment:
Ensuring a diverse and inclusive workplace where we learn from each other is core to our values. We invite folks with different backgrounds, experiences, abilities, and perspectives. Our workplace is both casual and professional, and we are committed to learning, fun, and excellence. We are an equal opportunity employer. This full-time position includes equity, health, dental and vision insurance, commuter benefits, flexible PTO, and company holidays.
How to apply:
Please send us a note and link to your LinkedIn profile and/or your resume to with the subject line "[Your Name] - Data Scientist". No phone calls, please.
All qualified applicants are encouraged to apply, including women, people of color, gays and lesbians, transgender people, veterans and people with disabilities.