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Remote mid-level Data Scientist role and metro location raise competition; niche MMO/Bayesian specialty moderates it.
Domain-specific marketing analytics, MMO and adstock expertise make cross-industry transfer limited.
Many mandatory technical requirements (PyMC/Stan, optimization, causal methods, LLM integration) create high strictness.
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Design and implement advanced customer segmentation and media targeting models on large-scale transaction data to optimize marketing strategies.
Develop and maintain Bayesian marketing mix models and causal attribution studies to analyze channel performance and improve marketing ROI.
Build constrained and multi-objective optimization models to recommend budget allocations across channels and integrate Gen AI tools for analytics automation.
Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Economics, Operations Research, or Engineering.
5+ years of experience in Data Science, Marketing Analytics, Media/Audience Targeting, or Marketing Mix Optimization.
Strong programming skills in Python and SQL with proficiency in statistical modeling, regression analysis, and optimization techniques.
Experience with LLM APIs (e.g., OpenAI, Anthropic) for integrating AI into analytics workflows.
Expertise in designing scalable, hierarchical Bayesian models and multi-stage modeling with robust uncertainty quantification.
Ability to translate complex statistical outputs into actionable business recommendations for marketing and media stakeholders.
Experience integrating and evaluating generative AI/LLM tools for structured analytics narrative generation and automation in data pipelines.