Staff Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Scientist (Marketplace): Driving business strategy through predictive insights and fraud interventions with an accent on commerce, risk, and growth levers. Focus on designing advanced experimentation, causal inference, statistical modeling, and scaling ML models to optimize products and minimize losses.
Hybrid schedule requiring two days of in-office collaboration per week in San Francisco or New York City offices. Position based in US.
Base pay: $170,000 - $225,000
Company
Marketplace platform connecting people with Taskers for home services like furniture assembly and moving help, partnered with IKEA.
What you will do
- Partner strategically with product, risk, finance, engineering, and operations to define and solve high-impact analytical problems using statistical approaches.
- Conduct deep dives to identify growth opportunities in commerce and risk levers, presenting actionable insights.
- Define success metrics, run advanced experiments and causal inference to optimize features and user experiences.
- Design and scale fraud interventions with heuristics and ML models to mitigate chargebacks, declines, and refunds.
- Foster data-driven culture by advocating best practices in analysis and interpretation.
Requirements
- BS/MS/PhD in quantitative field (Statistics, CS, Engineering, etc.)
- Minimum 7 years in data science; marketplace/fintech experience a plus
- Strong experience in advanced experimentation, statistical modeling, and fraud/risk models
- Expert in SQL, experienced in Python, data pipelines (dbt), git; ML Ops bonus
- Excellent analytical, problem-solving, business acumen, and communication skills
- Self-starter able to drive projects end-to-end with business impact
Culture & Benefits
- Hybrid model valuing flexibility and in-person collaboration.
- Competitive compensation with base pay, bonus, and perks.
- US benefits: employer-paid health insurance, 401k match with immediate vesting.
- Global: generous flexible time off, 2 company-wide closure weeks, stipends for wellness/productivity/education, IKEA discounts.
- Diverse, inclusive culture with strong representation and equity commitment.
Hiring process
- Initial recruiter phone screen.
- Several video-based interviews with hiring teams.
- No text/chat apps; all via .com domain.
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