Director, Data Science

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

📋 Description

• Lead and expand a data science team.

• Create predictive models to estimate customer lifetime value utilizing statistical and machine learning methods.

• Examine customer interactions across applications, websites, social media, and email channels.

• Recognize and enhance customer engagement opportunities.

• Manage product funnel and engagement analysis, covering onboarding completion, feature adoption, feature stickiness, and session behavior.

• Develop customer segmentation models to pinpoint high-value users and guide content and product recommendations.

• Collaborate with Product and Editorial teams to deliver unique experiences across applications, newsletters, and other customer interactions.

• Evaluate opportunities and measure product success.

• Design online A/B testing experiments for product modifications, personalization, and comprehensive marketing interventions.

• Work alongside data science and cross-functional teams.

• Advocate for resources and tools to enhance data capabilities.

• Align data initiatives with organizational objectives.

• Promote the adoption of innovative data science methods and technologies.

• Serve as a strategic partner for Marketing and other business teams.

⛳️ Requirements

• PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or a related quantitative discipline, or equivalent experience.

• Over 7 years of experience in data science and machine learning, focusing on customer behavior, product analytics, and marketing challenges.

• More than 5 years of experience in leading a team of data scientists.

• Proven capability to lead product and funnel analytics on web and mobile platforms.

• Strong foundation in causal inference, survival analysis, and time series analysis.

• High proficiency in Python and SQL.

• Familiarity with Claude Code/Codex and their effective use and limitations within data science workflows.

• Strong strategic and operational skills.

• Excellent leadership and communication abilities.

• Capacity to explain complex analyses clearly to non-technical marketing and business stakeholders.

• Experience with large-scale search and recommendation systems in media, e-commerce, or advertising.

• Background with large-scale analytics platforms, such as BigQuery.

• Exposure to reinforcement learning or bandit approaches for personalization or offer optimization.

• Proficient in advanced experimentation techniques, including multivariate testing, factorial designs, and CUPED.

• Experience with Bayesian statistical methods.

• Familiarity with forecasting models and advanced lifecycle or retention modeling.

• Applied NLP experience for content classification, semantic search, or audience understanding.

• Proven track record in leading end-to-end data science projects from problem identification to deployment and impact assessment.

• Willingness to travel periodically/quarterly for team meetings/events is preferred but flexible based on candidate needs.

🏝️ Benefits

• Annual bonuses.

• Short- and long-term incentives.

• Medical, dental, vision, and prescription drug coverage.

• Unlimited paid time off (PTO).

• Adoption or surrogate assistance.

• Donation matching.

• Tuition reimbursement.

• Basic life insurance.

• Basic accidental death & dismemberment insurance.

• Supplemental life insurance.

• Supplemental accident insurance.

• Commuter benefits.

• Short-term and long-term disability.

• Health savings and flexible spending accounts.

• Family care benefits.

• 401K savings plan with company match.

• 10–12 paid holidays annually.

• Generous paid parental leave for birthing and non-birthing parents.

• Voluntary pet insurance.

• Voluntary accident, critical, and hospital indemnity health insurance coverage.

• Voluntary life and disability insurance.

• Fully remote work with no in-office requirements.

• Flexibility for periodic team meetings/events travel.