Data Scientist

Primary Responsibilities

• Design, build, and refine predictive models for subscriber engagement and retention using statistical and machine learning techniques
• Conduct deep-dive analyses on acquisition, onboarding, engagement, and churn to uncover actionable insights and improve user outcomes
• Develop segmentation frameworks to support targeted messaging, offers, and product experiences based on behavior, user type, and content preferences
• Architect and evaluate A/B and multivariate tests to measure the effectiveness of interventions and user-facing changes
• Partner with engineering teams to improve data collection, integrity, and pipeline reliability across platforms
• Automate reporting, build dashboards, and lead weekly/monthly/quarterly performance reviews with stakeholders
• Drive audience research and cohort analyses to inform product strategy and campaign design
• Advocate for data-informed decision-making across the organization, influencing product, editorial, and marketing priorities
• Stay current with industry trends and best practices in predictive modeling, experimentation, and customer analytics

Experience & Requirements

• Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent experience)
• 4+ years of experience in data science, analytics, or machine learning, preferably in a subscription-based or digital consumer business
• Demonstrated experience building and deploying predictive models (especially churn, conversion, or engagement scoring)
• Expertise in SQL and strong proficiency in Python or R
• Experience designing and interpreting experiments (A/B and multivariate), with a clear understanding of causal inference
• Familiarity with CRM tools and marketing attribution frameworks (e.g., UTM tracking, lifecycle campaigns)
• Strong communication skills and the ability to translate complex data into clear business recommendations
• Proven ability to work cross-functionally in a fast-paced environment and drive projects to completion
• A passion for uncovering patterns in data and turning them into actionable strategy