Contribute to software systems used by millions of low-income Americans
Drive change through impactful data analysis and investigations
Maintain reliable data pipelines to ensure trustworthy data.
Work with product teams, starting with the marketplace team, but also potentially including the government benefits team, marketing, and growth.
Effectively communicate with team members during projects, code review, etc.

Requirements

5+ years of startup experience
Fluency in SQL and either Python or R
Experience leading research efforts on product and system opportunities
Exceptional skills at converting questions into data analysis and insight, with just the right level of complexity.
Quantitative mindset, strong at working with probability distributions, causal inference, cost-benefit analysis.
Experience with a startup environment or the ability to operate effectively when faced with ambiguity
Strong communication skills across technical and non-technical audiences and topics
Eagerness to learn new techniques, strong prioritization skills
Passion for making a difference in the lives of our users
Preferred: Experience writing production machine learning systems
Nice to have: Experience with or knowledge of government services, particularly safety net services like SNAP, WIC, TANF, SSI, SSDI, Medicaid, Section 8

Benefits

Meaningful work and a strong shared sense of mission
Remote-friendly work environment with a dog-friendly office in Downtown Brooklyn. The team meets in-person for optional retreats.
20 Days of PTO
4% 401K match
$10k lifetime spend towards Carrot Fertility
Excellent Medical, Dental and Vision options
A strong equity package that reflects the leveling and anticipated impact of this role

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonRdata analysisprobability distributionscausal inferencecost-benefit analysismachine learning

Soft Skills

communication skillsquantitative mindsetprioritization skillsability to operate in ambiguityeagerness to learnimpactful data analysis