Senior Data Scientist
STARZPLAY
Date: 4 days ago
City: Lahore
Contract type: Full time

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
.
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