Senior Data Scientist

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HR and Culture Manager at STARZPLAY|| ex- Educative|| ex- Rolustech

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
• 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

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Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionAnalyst, Strategy/Planning, and Information Technology
• IndustriesEntertainment Providers and Internet Marketplace Platforms

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