Senior Data Scientist

October 29

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Raya

WebsiteLinkedInAll Job Openings

Social Impact • B2C • Media

Raya is a private, membership-based community that connects celebrities, influencers, and other professionals through a social networking app. Known for its exclusivity and discretion, Raya offers a platform for networking and social interaction among its elite members. It is often referred to as a 'Tinder for the famous,' offering both dating and professional connection opportunities.

51 - 200 employees

🌍 Social Impact

👥 B2C

📱 Media

📋 Description

• Run causal and impact analysis for experiments and product changes, helping the team understand not just what happened, but why • Design and maintain measurement frameworks for key systems like recommendations, ranking, and personalization • Partner with ML Engineers to evaluate model performance and offline metrics, and to develop scalable evaluation pipelines • Work closely with Analytics to ensure high-quality experimentation and metric consistency, supporting clear, reliable insights for product and model improvements • Dig into user behavior and engagement patterns to generate insights and hypotheses that shape product direction • Contribute to analytical data workflows – for example, defining custom metrics or refining evaluation tables to improve reproducibility and self-serve capability • Communicate clearly and proactively with product and engineering partners, bringing clarity to complex systems and metric

🎯 Requirements

• 4–7 years of experience in data science, analytics, or a related quantitative field (product or ML-facing experience preferred) • Strong SQL and Python skills, with experience in pandas, NumPy, and data visualization libraries • Deep understanding of causal inference and experimentation, including methods such as CUPED, diff-in-diff, matching, or propensity-based estimators • Experience designing and interpreting A/B tests and translating results into product recommendations • Experience with model tuning and evaluation as well as common ML libraries (e.g. scikit-learn, XGBoost) • Proficiency with modern data tooling, such as dbt and Snowflake/Databricks for transformation and modeling; Mixpanel or Segment for product instrumentation; and Looker, Omni, or Tableau for visualization • Familiarity with off-policy evaluation and counterfactual analysis methods (e.g., inverse propensity scoring, doubly robust estimation) used to evaluate recommender or personalization models offline. • Strong communication and storytelling skills, with the ability to align stakeholders on insights and measurement strategy • Comfortable working cross-functionally with ML Engineering, Analytics, Product, and Infrastructure teams

🏖️ Benefits

• Comprehensive medical and dental coverage • $50 a day food delivery budget • Equity based employment • A great culture • Learning opportunities • Unlimited vacation • 12 weeks paid parental leave • $1,000 a year to explore new destinations