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7 часов назад

Data Scientist (AI)

150 000 - 350 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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