Senior Data Scientist Intelligent Media Targeting

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 Descriptio

nAs 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 Responsibiliti

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

s.
Required Ski

llsData Science & Machine Learn

• ingStrong hands-on experience in Python development for production-grade analytics and machine learni
• ng.Extensive experience with pandas, NumPy, scikit-learn, and related data science librari
• es.Strong SQL skills including joins, aggregations, window functions, and large-scale data analys
• is.Solid understanding of statistics including regression, hypothesis testing, probability distributions, model validation, and experimentati
• on.Experience developing production-ready machine learning solutio

ns.Customer Segmentation & Marketing Analyt

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

ng.Marketing Scie

• nceHands-on experience with Marketing Mix Modeling (MMM), Marketing Effectiveness Measurement, or Multi-Touch Attribution (MT
• A).Experience building media optimization, response curve, and budget allocation mode
• ls.Understanding of media carryover, saturation effects, adstock, elasticity, and promotional effectivene
• ss.Experience with causal inference, Geo Experiments, incrementality testing, or A/B experimentati

on.AI & Explainabil

• ityExperience using SHAP, LIME, or other Explainable AI techniqu
• es.Exposure to Generative AI, LLMs, Prompt Engineering, or AI-assisted analytics workflo
• ws.Understanding of model governance, monitoring, and deployment best practic

es.
Qualificat

• ionsBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Economics, or a related quantitative discipl
• ine.Senior Data Scientist: 5–8 years of relevant experience in Data Science, Customer Analytics, Marketing Analytics, or Marketing Scie
• nce.Lead/Manager: 8–12 years of relevant experience with demonstrated team leadership and stakeholder managem
• ent.Proven experience delivering production-grade machine learning and analytics soluti
• ons.Strong analytical thinking, problem-solving, and communication ski
• lls.Experience working directly with business stakeholders and cross-functional te

ams.
Nice to

• HaveExperience working with payment transaction or card network
• data.Understanding of Spend Index, Wallet Share, BIN/ICA logic, or merchant hiera
• rchy.Experience with Spark, Databricks, or distributed data proces
• sing.Experience with cloud platforms such as AWS, Azure, or
• GCP.Exposure to Graph Analytics, Recommendation Systems, or Knowledge Gr
• aphs.Relevant certifications in Data Science, Machine Learning, Cloud, or AI technolo

gies.
Thrive & Grow w

• ith UsCompetitive 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 c
• areer.Idea Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch, experiment, and collaborate on ideas that can shape the f
• uture.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 s
• kills.Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas fl
• owing.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 pr
• ogram.Fuel Your Growth Journey with Certifications: We're all about your growth! Enhance your expertise with company-sponsored certifications in AI, Data Science, Cloud, and Analytics technol