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Job Summary
We are looking for a Lead Data Scientist with strong expertise in statistics, experimentation, causal inference, and marketing measurement. The ideal candidate will solve complex marketing measurement problems and translate analytical insights into actionable business and investment recommendations.
Key Responsibilities
Lead the development of Marketing Mix Models (MMM), incrementality, and causal measurement solutions.
Design and analyze Geo Tests, lift studies, and experimentation frameworks.
Build response curves, scenario planning, and marketing optimization models.
Apply statistical techniques including hypothesis testing, regression, time-series modeling, and causal inference.
Translate complex analytical outputs into clear marketing and investment recommendations.
Collaborate with Strategy, Product, Engineering, and client teams.
Review and mentor Data Scientists and establish strong modeling standards and best practices.
Challenge assumptions and ensure analytical solutions drive measurable business impact.
Required Skills & Qualifications
7+ years of experience in Data Science or Advanced Analytics.
Strong expertise in statistics, experimentation, and causal inference.
Hands-on experience with Marketing Mix Modeling (MMM) or marketing measurement is strongly preferred.
Strong programming skills in Python/R and SQL.
Experience working with large and complex marketing and business datasets.
Strong ability to communicate sophisticated analytical concepts to non-technical and client audiences.
Excellent problem-solving and analytical skills.
Curious, hands-on builder mindset with a strong focus on business outcomes.
Preferred Profile
Experience in marketing analytics, attribution, incrementality, or media measurement.
Experience working with cross-functional and client-facing teams.
Ability to mentor junior data scientists and drive analytical best practices.
Strong business judgment with the ability to connect data science outcomes to business decisions and ROI.
Email - abhishek.goswami@thedigitalloom.com
Work arrangement
No
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