Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (AI): Driving data-driven decision making for growth, product, AI, and partnerships with an accent on first-principles problem solving and end-to-end analytical ownership. Focus on defining key metrics, designing experiments, and influencing leadership-level decisions to scale the user base from 5M to 50M.
Location: Must currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA (USA) or Ontario (Canada)
Salary: $85K – $130K + Equity
Company
An AI-powered platform designed to be a one-stop-shop for managing physical assets like cars and homes.
What you will do
- Own the analytical function end-to-end for a core business unit such as Growth, Product, AI, or Strategic Partnerships.
- Break down ambiguous business problems into clear hypotheses before performing data analysis.
- Define key metrics, build reports, and design experiments to drive critical business KPIs.
- Deliver actionable recommendations to counterparts in product, growth, finance, and operations.
- Translate data insights into strategic decisions that materially change the trajectory of the business.
Requirements
- 1+ years of experience at a consulting firm, investment bank, or high-growth technology company.
- Proficiency in SQL and Python for independent data extraction, structuring, and interpretation.
- Proven track record of owning ambiguous problems and delivering tangible impact.
- Ability to communicate complex findings persuasively to influence decisions at the leadership level.
- Current residency in one of the specified US states or Ontario, Canada is strictly required.
Nice to have
- Experience with Clickhouse, Metabase, Jupyter Hub, or GitHub.
Culture & Benefits
- Fully remote work environment with a focus on high ownership and no corporate fluff.
- Comprehensive health, dental, and vision insurance.
- 401(K) (US) or RRSP (Canada) plan with employer matching.
- Paid time off and paid parental leave.
- Equity opportunities via stock options.
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