1 день назад
Data Scientist
170 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/Data Analytics): Designing experiments, causal inference methods, predictive models, and metric frameworks that guide product and business decisions with an accent on experimentation, statistical rigor, and embedded partnership with business teams. Focus on estimating incrementality, investigating behavioral anomalies, productionizing models with ML engineers, and solving ambiguous questions for a fast-scaling AI business.
Location: New York or San Francisco; hybrid
Salary: $170,000–$300,000 annually, plus equity
Company
is an AI-powered growth platform that helps organizations reach customers using data, signals, and AI research.
What you will do
- Design and analyze experiments, including incrementality measurement when controlled A/B tests are not possible.
- Build causal inference approaches such as propensity-score matching to estimate the impact of product features and go-to-market channels.
- Define metric trees, launch success criteria, impact-sizing frameworks, forecasts, and predictive models.
- Investigate anomalies and nuanced behavioral questions, developing analytical frameworks for complex problems.
- Partner directly with Product, Marketing, Sales, Finance, or Partnerships leaders as an embedded analytical expert.
- Translate ambiguous strategic questions into rigorous, decision-ready analysis that influences product and business decisions.
Requirements
- 5+ years of experience in data science with ownership of experimentation, causal inference, or predictive modeling.
- Strong product and business judgment with a record of influencing product and business decisions.
- Strong foundations in experiment design, effect estimation, exploratory analysis, and statistical evaluation.
- Expert SQL and Python skills.
- Experience using AI tools such as Claude Code, Cursor, or similar tools to accelerate analytical work.
- Clear communication skills and the ability to influence senior stakeholders.
Nice to have
- Experience with Snowflake, GitHub, dbt, Hex, Sigma, or Dagster.
- Experience in product-led growth or B2B SaaS, especially usage-based pricing.
- Experience partnering with ML engineers to productionize models.
Culture & Benefits
- AI-forward workflows automate routine analytical questions and prioritize expert-level data science work.
- Employees can work with world-class coaches specializing in creativity, management, and related areas.
- The company emphasizes ownership, thoughtful problem-solving, creativity, and impact.
- Compensation includes equity.
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