Data Scientist II

📋 Description

• Partner with Product, Marketing, and Finance to deliver funnel, cohort, and retention analytics.
• Own A/B tests end-to-end, from design and power analysis to interpretation.
• Define north-star metrics and build scalable dashboards.
• Model data with Data Engineering; contribute to dbt models and EDA.
• Apply machine learning (classification/regression/clustering) to accelerate insights.
• Educate partners and turn findings into actionable recommendations.

🎯 Requirements

• Bachelor's in a quantitative field; graduate degree preferred.
• 3–5 years in data science, product analytics, or related roles.
• Strong communication; translate findings for partners.
• Stats & data rigor: hypothesis testing, power analysis, CIs.
• End-to-end A/B testing; quasi-experiments (DiD, propensity, RD, synthetic).
• Python (pandas, NumPy, scikit-learn) and SQL; Snowflake/BigQuery.

🎁 Benefits

• Comprehensive benefits (country-specific).
• Medical, dental, and vision coverage.
• Life insurance, disability, 401(k) match.
• Free snacks and in-office drinks.
• Generous paid holidays and unlimited PTO.
• Volunteer days, parental leave, and winter break.