Lead Data Scientist - Recommendations (Remote)

About the Role

Join Scribd as a Lead Data Scientist - Recommendations and take on the challenge of shaping how millions engage with our global content library. In this remote position, you'll leverage your expertise to drive measurable outcomes across our recommendation surfaces, translating product goals into metrics and leading roadmap initiatives.

What You'll Do

• Map opportunities by sizing and prioritizing new recommendation surfaces, intents, and cohorts.
• Own the evaluation framework by defining north stars and guardrails for product metrics.
• Align offline and online metrics to ensure trustworthy downstream results.
• Create leading indicators that predict long-term outcomes, enhancing our recommendation algorithms.
• Design and run advanced experiments to validate hypotheses and drive data-informed decisions.

Requirements

• 8+ years of experience in Data Science, particularly in recommendations, search, or ranking.
• Strong proficiency in Python and SQL, with a solid understanding of Spark.
• Fluency in ranking evaluation metrics such as NDCG@K, MAP, and MRR.
• Experience in experiment design and connecting offline metrics to online outcomes.
• Ability to translate product goals into actionable metrics for engineering teams.

Nice To Have

• Familiarity with LLMs and embeddings evaluation.
• Experience with vector search assessments for performance optimization.

What We Offer

• Comprehensive healthcare coverage (medical, dental, vision) fully paid for employees.
• 12 weeks of paid parental leave and short-term/long-term disability plans.
• 401k/RSP matching and onboarding stipends for home office setup.
• Learning & Development allowances and programs to foster growth.
• Flexible sick time and vacation days, including a winter break.