Senior Data Scientist II, Ranking & Relevance

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the data science strategy and roadmap focused on ranking and relevance.

• Collaborate with engineering teams to enhance ranking models throughout their lifecycle.

• Lead experiment design and convert findings into actionable launch recommendations.

• Create marketplace measurement techniques that account for bias and advertiser interference.

• Utilize observational methods in situations where experiments are not feasible.

• Develop frameworks that balance the interests of advertisers, users, and the platform.

• Differentiate between incremental gains and value shifts across advertisers, surfaces, or timeframes.

• Assess impacts across various user and advertiser segments.

• Influence targeting and investment strategies while considering uncertainties.

• Quantify commercial impacts related to senior leadership priorities and product decisions.

• Convert business objectives into measurable targets and ranking enhancements.

• Engage with both technical and non-technical stakeholders.

• Mentor team members and create reusable scientific methodologies.

• Utilize Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS for analytical tasks.

⛳️ Requirements

• Minimum of 8 years of experience in data science, machine learning, or applied analytics.

• Proven experience managing analytical roadmaps and experiments related to ranking, relevance, or recommendations.

• Ability to prioritize analytical projects and clarify declined requests.

• Experience in cross-functional collaboration with product, sales, and engineering teams.

• Expertise in defining marketplace KPI frameworks and addressing advertiser–user–platform trade-offs.

• Experience assessing effects on overall marketplace economics beyond individual metrics.

• Skilled in designing measurements that account for selection bias, shared budgets, or spillovers.

• Capability to defend experiment designs and underlying assumptions, including selection bias, interference, or observational identification.

• Proven track record of delivering incremental and sustained business impact.

• History of influencing strategic or launch decisions.

• Experience in redirecting, pausing, or terminating initiatives based on quantified trade-offs.

• Experience in building reusable analytical components and mentoring analysts or scientists.

• Strong modeling capabilities.

• High proficiency in SQL and at least one programming language, preferably Python.

• Familiarity with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.

• Preferred: significant experience with advertiser-funded consumer marketplaces, retail media, or advertising platforms.

• Preferred: background in ad ranking or product search and ranking.

• Preferred: experience in consumer product analytics linking behavior to retention and monetization.

🏝️ Benefits

• Equity opportunities for full-time employees.

• 401(k) matching dollar-for-dollar up to 4% of eligible pay.

• Comprehensive medical, dental, and vision benefits, including coverage for pets.

• $10,000 annual education reimbursement.

• Access to Employee Resource Groups.

• Flexible paid time off (PTO).

• Nine paid holidays.

• A week-long break at the end of the year.

• 14 weeks of fully paid parental leave.

• Additional six weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees who welcome new family members.

• A flexible working environment.

• Provision of hardware and software for remote work.