Senior Data Scientist

About the Role

Join the Marketing Data Science team at a leading organization as we drive the success of Starzplay, our flagship premium video streaming platform. As a Senior Data Scientist, you will design and implement advanced analytics solutions and predictive models to fuel subscriber growth and enhance business performance for Starzplay.

Key Responsibilities

• Contribute to the launch and ongoing optimization of Starzplay, functioning as an agile, startup-minded team within a larger corporate environment.
• Collaborate with marketing, product, and content teams to evaluate the effectiveness of campaigns and initiatives, providing insights into sales, profitability, customer journeys, and consumption patterns.
• Apply deep expertise in media investment channels and associated performance metrics to guide strategic decisions.
• Lead the creation, maintenance, and improvement of marketing mix and multi-touch attribution models, ensuring data-driven allocation of marketing spend.
• Partner closely with cross-functional teams and external partners to deliver actionable insights that maximize Starzplay's marketing ROI.
• Analyze diverse datasets to develop industry-leading models and analyses, supporting end-to-end project execution from conception to delivery.
• Stay current with emerging modeling techniques and algorithms, proactively integrating innovative approaches to enhance business impact.

Day-to-Day Activities

• Evaluate the performance of marketing campaigns, providing clear recommendations for optimization.
• Assess media investments, analyzing both spend and returns to inform strategic choices.
• Develop robust data frameworks and analytical methodologies.
• Build, refine, and maintain advanced statistical models for marketing mix and attribution analysis.
• Create optimization algorithms that leverage model outputs to drive subscriber acquisition and revenue growth.
• Forecast user lifecycle stages and predict key behaviors.
• Segment users based on viewing and engagement data to inform personalized marketing strategies.
• Conduct ROI analyses for content assets, including entertainment, sports, and advertising properties.
• Translate complex analytics into compelling narratives and visualizations for executive audiences, outlining recommended actions.
• Present findings on media effectiveness to senior stakeholders, shaping strategic action plans.

Qualifications & Experience

• Bachelor's degree in a quantitative field such as business analytics, statistics, mathematics, economics, or industrial engineering; advanced degrees (Master's/PhD) are advantageous.
• Minimum of 4 years' experience developing data science and statistical models (e.g., multivariate regression, Markov chains, time series, causal inference).
• At least 1 year of hands-on experience with media mix modeling and multi-touch attribution.
• Proficiency in both linear and non-linear optimization techniques.
• Advanced skills in SQL and R; experience with RShiny app development is a plus.
• Familiarity with Ads Data Hub, BigQuery, or AWS Redshift is desirable.
• Experience designing and evaluating experimental and incrementality tests.
• Strong Excel skills.
• Solid understanding of media and advertising channels, including digital, display, and paid search.
• Demonstrated curiosity, leadership qualities, and business insight.
• Passion for leveraging data to inform strategy and product development.
• Background in subscription-based or eCommerce businesses is preferred.
• Excellent interpersonal skills, with a proven ability to collaborate, motivate, and influence across teams.
• Track record of managing multiple projects and delivering results under tight deadlines.
• Creative flair and instinct for identifying compelling stories and user experiences.
• Engaged in strategic discussions, bringing social insights and community perspectives to the table.
• Adaptable and resilient in fast-paced, evolving environments.
• Exceptional verbal and written communication skills, with the ability to influence and present at all organizational levels.
• Strong presentation abilities are essential.