Full-Time Senior Data Scientist

• Own the Marketing Mix Modeling (MMM) process including design, calibration, and iteration.
• Translate MMM insights into channel-level budget recommendations and marketing strategy guidance.
• Partner with Growth, Finance, and Data Engineering to align spend optimization and forecasting models with business goals.
• Design and analyze experiments to understand the incremental impact of marketing campaigns.
• Build and iterate on models for user acquisition (UA), attribution, and LTV.
• Develop scenario testing tools for marketing planning and spend simulation.
• Automate recurring campaign reporting and performance diagnostics.
• Communicate findings clearly to technical and non-technical stakeholders.

• A degree in Statistics, Economics, Math, Computer Science, or related technical field.
• 5+ years of experience in data science or analytics, with a strong focus on marketing or growth.
• Hands-on experience building and maintaining Marketing Mix Models (MMM) or equivalent budget optimization frameworks.
• Familiarity with Bayesian modeling, hierarchical models, or probabilistic programming.
• Proficiency in Python for modeling and SQL for data manipulation.
• Strong understanding of experimentation design, incrementality, and causal inference.
• Familiarity with cloud-based tools and data workflows (e.g., AWS, GCP, dbt, Airflow).
• Proven ability to influence cross-functional partners with compelling, data-backed recommendations.

• Experience with LTV, attribution, or uplift models in a UA or growth setting.
• Prior work in consumer tech, sports betting, fantasy sports, or mobile gaming.
• Experience with marketing platforms or MMP tools (e.g., Google Ads, Meta Ads Manager, AppsFlyer).

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