2 дня назад
Data Scientist (AI)
180 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (SQL/Python): Defining business problems, building metrics and reports, running analyses and experiments, and delivering insights across growth, product, AI and automation, and strategic partnerships with an accent on first-principles problem solving and end-to-end ownership. Focus on structuring ambiguous questions, influencing leadership decisions, and driving measurable business outcomes through data.
Location: Remote; applicants must currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada. Offices are available in Palo Alto, New York, Chicago, and Toronto.
Salary: $180,000–$230,000 base salary annually, plus potential equity.
Company
is building an AI-powered app for managing car, home, insurance, maintenance, repair, and other physical-asset ownership needs.
What you will do
- Define business problems, hypotheses, metrics, and the decisions that analysis should inform.
- Pull, structure, and interpret data independently using SQL and Python.
- Build reports, run analyses, design experiments, and surface insights that improve key business metrics.
- Embed within growth, product, AI and automation, or strategic partnerships and own the analytical function end to end.
- Present recommendations to product, growth, finance, and operations stakeholders and drive execution.
Requirements
- 6+ years of experience in consulting, investment banking, or a high-growth technology company.
- Strong analytical skills and proficiency with SQL or Python.
- Experience owning ambiguous problems and delivering measurable business impact.
- Clear, persuasive communication skills with the ability to influence leadership-level decisions.
- Experience with analytical tools such as ClickHouse, Metabase, JupyterHub, and GitHub.
- Current residence in an eligible U.S. state or Ontario, Canada is required.
Culture & Benefits
- Fully remote work with a distributed data science and analytics team.
- Hands-on ownership focused on work that materially affects business outcomes.
- Health, dental, and vision coverage for full-time employees.
- Paid time off, paid parental leave, wellness benefits, and a 401(k) plan in the U.S. or RRSP plan in Canada with employer matching.
- Potential stock options or other equity opportunities.
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