Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job DescriptionWe 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 clear visualizations and presentations.
- Mentor junior data scientists and contribute to best practices across the data science team.
- Bachelor's or Master's 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
Thrive & Grow with Us
Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program.
Fuel Your Growth Journey with Certifications: We're all about your growth groove! Level up your skills with our support as we cover the cost of your professional certifications.
Skills Required
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, CS, Data Science, Economics, OR, Engineering)
- 4+ years of hands-on experience in Data Science, Marketing Analytics, or Marketing Mix Optimization
- Marketing Mix Optimization (MMO) / Marketing Mix Modeling (MMM) experience
- Python programming
- SQL
- Pandas
- NumPy
- scikit-learn
- Statistical modeling and regression analysis
- Machine learning and predictive modeling
- Feature engineering
- Model validation, diagnostics, and performance monitoring
- Experience with large marketing and sales datasets
- Experience developing optimization or decision-support models (budget optimization)
- Scenario planning and what-if simulation experience
- Data visualization and ability to present complex results to non-technical stakeholders
- Strong communication and stakeholder management skills
- Mentoring or leadership experience for junior data scientists
- Git (version control)
- Budget optimization and media investment planning knowledge
- Predictive modeling and response curve analysis
- Bayesian modeling
- Optimization libraries (SciPy Optimize, CVXPY)
- Time series forecasting
- Causal inference
- Databricks
- Snowflake
- Cloud platforms (Azure, AWS, GCP)
- MLflow
- Generative AI awareness
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
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