Senior Data Scientist

About the Role
We are looking for a Senior Data Scientist with deep expertise in Marketing Analytics, particularly Marketing Mix Modeling (MMM), to drive data-driven decision-making across our marketing investments. This role will partner closely with Marketing, Finance, and Product teams to quantify channel effectiveness, optimize budget allocation, and unlock growth opportunities.

Key Responsibilities:

Marketing Mix Modeling & Measurement:
Design, develop, and maintain Marketing Mix Models (MMM) to measure the impact of various marketing channels (TV, digital, paid search, social, etc.)Apply advanced statistical techniques (e.g., regression modeling, Bayesian methods, time-series analysis) to quantify ROI and incremental liftIncorporate factors like seasonality, promotions, pricing, macroeconomic variables, and competitive activity into modelsContinuously improve model accuracy and scalability

Marketing Analytics & Insights: Analyze multi-channel campaign performance and provide actionable insights to optimize spendDevelop frameworks for attribution, incrementality testing, and experimentation (A/B testing, geo experiments)Translate complex analytical outputs into clear business recommendations

Data & Modeling Infrastructure: Work with large-scale structured and unstructured datasets (media spend, impressions, conversions, customer data)Build reusable pipelines and scalable solutions using tools like Python/R, SQL, and cloud platforms (AWS/GCP/Azure)Collaborate with Data Engineering teams to ensure data quality and availabilityStakeholder CollaborationPartner with Marketing leaders to influence budget allocation and strategic planning

Present insights to senior stakeholders, including non-technical audiencesAct as a thought leader on measurement frameworks and marketing effectiveness