01Overview
Job Description
We are looking for a Senior Data Scientist with strong expertise in Marketing Mix Optimization (MMO) to design, enhance, and optimize marketing investment strategies using advanced statistical modeling, machine learning, and optimization techniques. The ideal candidate will have experience building scalable optimization solutions that help maximize marketing ROI and improve budget allocation across channels.
This role requires excellent Python programming skills, strong statistical foundations, and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
- Design, develop, and enhance Marketing Mix Optimization (MMO) solutions for marketing budget allocation and investment planning.
- Build statistical and machine learning models to quantify marketing effectiveness and optimize media investments.
- Develop optimization frameworks that recommend budget allocation across multiple marketing channels under business constraints.
- Analyze historical marketing performance, customer behavior, and sales data to identify optimization opportunities.
- Create scenario planning and what-if simulations to evaluate different marketing investment strategies.
- Collaborate with business stakeholders to translate analytical findings into actionable recommendations.
- Develop scalable Python-based analytical pipelines and reusable optimization workflows.
- Perform feature engineering, model validation, diagnostics, and performance monitoring.
- Communicate complex analytical results to technical and non-technical stakeholders through transparent visualizations and presentations.
- Mentor junior data scientists and contribute to best practices across the data science team. Qualifications
- Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Operations Research, Engineering, or a related quantitative field.
- 4+ years of hands-on experience in Data Science, Marketing Analytics, or Marketing Mix Optimization.
- Strong programming experience in Python.
- Strong SQL skills for data extraction and analysis.
- Excellent understanding of:
- Regression Modeling
- Applied Statistics
- Machine Learning
- Feature Engineering
- Model Validation
- Experience working with large marketing and sales datasets.
- Experience developing optimization or decision-support models.
- Strong communication and stakeholder management skills.
Technical Skills
Must Have
- Python
- SQL
- Pandas
- NumPy
- scikit-learn
- Statistical Modeling
- Regression Analysis
- Marketing Analytics
- Marketing Mix Optimization (MMO)
- Budget Optimization
- Scenario Planning
- Predictive Modeling
- Data Visualization
- Git
Good to Have
- Bayesian Modeling
- Optimization libraries (SciPy Optimize, CVXPY)
- Time Series Forecasting
- Causal Inference
- Databricks
- Snowflake
- Azure/AWS/GCP
- MLflow
- Generative AI awareness
Preferred Experience
Candidates with experience in one or more of the following will be preferred:
- Marketing Mix Optimization (MMO)
- Marketing Mix Modeling (MMM)
- Media Optimization
- Marketing ROI Measurement
- Budget Allocation
- Response Curve Analysis
- Marketing Effectiveness Analytics
- Commercial Analytics
- Consumer Analytics
- CPG, Retail, Healthcare, Pharma, or Media industries
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
