Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (AI): Designing and analyzing experiments and retention frameworks to optimize user engagement on an AI evaluation platform with an accent on causal inference and large-scale data processing. Focus on implementing A/B tests, building scalable PySpark pipelines, and deriving actionable insights from user behavior to drive product growth.
Location: Hybrid (Bay Area, US)
Salary: $150,000 – $350,000
Company
is a platform for evaluating AI model performance in real-world scenarios, founded by researchers from UC Berkeley's SkyLab.
What you will do
- Design and analyze A/B tests, multi-armed bandits, and quasi-experiments to measure the impact of product changes.
- Apply causal inference techniques to estimate treatment effects in non-randomized settings.
- Develop retention measurement frameworks and track core engagement metrics (DAU, WAU, MAU).
- Build and maintain scalable data pipelines using PySpark and SQL to process large datasets.
- Develop automated dashboards in Tableau, Looker, or Metabase to monitor experiment performance.
- Collaborate with product and engineering teams to translate business questions into data-driven analyses.
Requirements
- 3+ years of experience in data science, analytics, or experimentation.
- Strong background in statistics, hypothesis testing, and causal inference.
- Proficiency in SQL and Python (Pandas, NumPy, SciPy, Scikit-learn).
- Experience with experimentation tools (e.g., Optimizely, Statsig) and retention metrics.
- Familiarity with big data tools like PySpark or Hadoop.
- Must be based in the Bay Area to support the hybrid work model.
Nice to have
- Expertise in PySpark for large-scale data processing and analytics.
- Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or a quantitative field.
- Experience with time-series forecasting, survival analysis, or uplift modeling.
- Knowledge of MLOps or productionizing models (e.g., MLflow, Airflow, Docker).
Culture & Benefits
- Competitive compensation and equity aligned to market rates.
- Comprehensive health, dental, and vision insurance.
- Opportunity to work on cutting-edge AI with a small, mission-driven team.
- A culture that values transparency, trust, curiosity, and community impact.
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