Sr. Manager, Data Scientist, Marketing Analytics
Core
Lead a team of data scientists to solve complex marketing and customer challenges using advanced analytics, statistical modeling, and machine learning to improve campaign performance and ROI.
Role type
Senior Manager, Data Science (Marketing Analytics)
Builds
Marketing analytics models, A/B testing frameworks, scalable data pipelines, and production ML models for customer segmentation, attribution, and optimization.
Domain
Marketing Analytics / Data Science
Deliverable
production ML models | product features
Required skills
Machine learning, predictive analytics, optimization algorithms, statistical inference, experimental design, causal analysis, Python, SQL, big-data technologies, cloud platforms, feature engineering, model deployment and monitoring, cross-functional leadership, strategic thinking.
Preferred skills
N/A
Technologies
Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, R, Spark, Hadoop, AWS, GCP, Azure
Responsibilities
Lead, mentor, and develop a team of 2–3 data scientists; oversee the full lifecycle of data science projects from ideation to production; review statistical and optimization models for technical rigor and business relevance; partner with Marketing leadership to identify high-value opportunities; define and execute the marketing analytics roadmap; lead the development of advanced analytical models including attribution, CLV, segmentation, propensity, and media mix modeling; design and oversee A/B and multivariate testing frameworks; translate complex analytical results into actionable recommendations for executives.
Seniority
Senior, hands-on IC with management responsibilities