Senior Data Scientist – Intelligent Media Targeting

As a Senior Data Scientist Intelligent Media Targeting you will play a key role in designing and deploying advanced customer analytics and marketing science solutions that enable intelligent media planning and customer targeting. You will work on customer segmentation Marketing Mix Modeling (MMM) causal measurement marketing effectiveness and AI-powered analytics to help global clients optimize media investments and drive measurable business outcomes.

This role requires strong expertise in machine learning statistical modeling customer analytics and marketing measurement along with the ability to translate complex analytical findings into actionable business recommendations. You will collaborate closely with business stakeholders data engineers and cross-functional teams to deliver scalable production-ready data science solutions.

Key Responsibilities

• Design and develop advanced customer segmentation models using clustering techniques such as K-Means GMM DBSCAN or similar algorithms.
• Build and deploy Marketing Mix Models (MMM) to measure marketing effectiveness and optimize media investments.
• Engineer customer and transaction-level features including RFM spend trajectory recency decay and behavioral metrics.
• Develop statistical and machine learning models for customer targeting campaign optimization and marketing effectiveness measurement.
• Perform causal inference experimentation and A/B testing to measure incremental impact of marketing initiatives.
• Apply model explainability techniques such as SHAP to generate meaningful business insights and customer narratives.
• Develop reusable Python-based analytics frameworks and scalable machine learning workflows.
• Partner with business stakeholders to understand marketing objectives and translate them into analytical solutions.
• Present analytical findings and strategic recommendations to business and leadership teams.
• Collaborate with data engineering teams to build scalable data pipelines and production-ready analytics solutions.
• Contribute to AI-enabled analytics initiatives by leveraging Generative AI LLMs or AI-assisted workflows where applicable.
• Mentor junior team members and contribute to analytics best practices and reusable frameworks.

Qualifications :

Required Skills

Data Science & Machine Learning

• Strong hands-on experience in Python development for production-grade analytics and machine learning.
• Extensive experience with pandas NumPy scikit-learn and related data science libraries.
• Strong SQL skills including joins aggregations window functions and large-scale data analysis.
• Solid understanding of statistics including regression hypothesis testing probability distributions model validation and experimentation.
• Experience developing production-ready machine learning solutions.

Customer Segmentation & Marketing Analytics

• Strong experience building customer segmentation models using clustering algorithms such as K-Means Gaussian Mixture Models (GMM) DBSCAN or equivalent techniques.
• Experience performing cluster validation using techniques such as Silhouette Score or stability analysis.
• Experience engineering customer features including RFM spend trajectory recency decay and behavioral analytics.
• Experience developing customer personas and translating analytical outputs into business strategies.
• Experience with campaign targeting customer analytics recommendation systems or propensity modeling.

Marketing Science

• Hands-on experience with Marketing Mix Modeling (MMM) Marketing Effectiveness Measurement or Multi-Touch Attribution (MTA).
• Experience building media optimization response curve and budget allocation models.
• Understanding of media carryover saturation effects adstock elasticity and promotional effectiveness.
• Experience with causal inference Geo Experiments incrementality testing or A/B experimentation.

AI & Explainability

• Experience using SHAP LIME or other Explainable AI techniques.
• Exposure to Generative AI LLMs Prompt Engineering or AI-assisted analytics workflows.
• Understanding of model governance monitoring and deployment best practices.

Qualifications

• Bachelors or Masters degree in Computer Science Statistics Mathematics Data Science Engineering Economics or a related quantitative discipline.
• Senior Data Scientist: 58 years of relevant experience in Data Science Customer Analytics Marketing Analytics or Marketing Science.
• Lead/Manager: 812 years of relevant experience with demonstrated team leadership and stakeholder management.
• Proven experience delivering production-grade machine learning and analytics solutions.
• Strong analytical thinking problem-solving and communication skills.
• Experience working directly with business stakeholders and cross-functional teams.

Additional Information :

Nice to Have

• Experience working with payment transaction or card network data.
• Understanding of Spend Index Wallet Share BIN/ICA logic or merchant hierarchy.
• Experience with Spark Databricks or distributed data processing.
• Experience with cloud platforms such as AWS Azure or GCP.
• Exposure to Graph Analytics Recommendation Systems or Knowledge Graphs.
• Relevant certifications in Data Science Machine Learning Cloud or AI technologies.

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 bestwhether its over lunch or during a laid-back session with peers its the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone youll 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: Were all about your growth! Enhance your expertise with company-sponsored certifications in AI Data Science Cloud and Analytics technologies.

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1