Data Scientist

About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open up new opportunities. We are a global AdTech company helping publishers discover better ways to monetize and enabling advertisers to reach the right audiences through new touchpoints. Operating across 10+ markets in Asia, the US, and Europe with a team of over 650 experts, we are building privacy-first ad infrastructure that opens up opportunities beyond the walled gardens

. Role: Data Scientis t Work Location: Mumbai (Mal

ad) About R ole:We are seeking a Head of Data Science to lead AI/ML initiatives across all our business units, driving measurable impact in digital advertising through sophisticated algorithms and team leadership. This high-impact role combines hands-on technical expertise with strategic vision, directly influencing millions in advertising revenue. You'll collaborate with C-level executives while building industry-leading AdTech solutions and establishing measurement frameworks that set new standards for performance. We're looking for a technical visionary who can balance algorithm development with strategic leadership across our global advertising ecosys

tem.Roles & Responsibil

• ity: Think Future, Build pr esent – Create scalable solutions addressing current challenges while building frameworks for gr
• owth. Design AI/ML algorithms for performance and programmatic advertising platforms with emphasis on floor price optimization and yield manag
• ement.Build bid prediction models and supply path optimization algorithms to maximize publisher re
• venue.Develop algos and models which help various targeting for real-time ad del
• ivery.Implement audience segmentation and lookalike modelling for brand camp
• aigns. Thi nk Data – Derive data insights from processes, products, and integrations to achieve efficiency and performance
• goals. Establish KPI-driven measurement frameworks focused on incrementality gains and attribution a
• ccuracy.Build predictive models for campaign forecasting and budget optimi
• zations.Develop fraud detection algorithms and brand safety classification
• systems.Analyze data and identify trends, patterns, and anomalies in model b
• ehavior.Ensure data privacy compliance (GDPR, CCPA) and implement secure data handling practices and participate in AI policy
• -making. Think T echnology – Build enterprise-grade ML/ AI architectural solutions that drive real value, and measurable busines
• s impact. Develop MLOps and data pipelines from ad serving events, implementing real-time feature engineering and model serving infrastructure catering to billio
• ns of ads.Build predictive models, dashboard / reports for performance m
• onitoring.Conduct rigorous A/B testing and statistical analysis to validate algorithmic improvements and business impact with explainable-AI a
• lgorithms.Think Col laboration - Partner with cross-functional teams (stakeholders, product, developers and business) to deliver models, dashboards, solutions that drive re
• venue KPIs Think Leadership - Drive strategic ML/AI vision across business units, build and scale high-performing teams, and own P&L responsibility for data science investments. Collaborate with fellow leaders to establish company-wide AI governance and present ROI metrics to executive

leadership. Requ

• ired Skills:5+ years’ experience as Data Scientist with 3+ years in advertising technology and KPI
• optimisationMS/PhD in Computer Science, Statistics, Mathematics, or related quantit
• ative field.Technica
• l Expertise:Programming: Advanced Python, SQL, with experience in Hadoop and Apache Spark for large-scale data
• processing.ML/ AI stack: Tensorflow, PyTorch, XGBoost, LLMs, scikit-learn for time-series forecasting, recommendation systems, NLP optimisation, and causal inference. Exposure to ML, NN, GenAI
• algorithms.Infrastructure: Cloud platforms (GCP/Azure/AWS), MLOps, real-time model inference, feature stores, and ML pipeline o
• rchestrationVisualization: Power BI, Looker, Jupyter Notebooks, and custom dashboard
• developmentsProduction Systems: Building scalable ML systems with real-time performance monitoring and A/B testing
• frameworks.Doma
• in KnowledgeDeep knowledge of digital marketing and advertising technologies and concepts like RTB protocols, header bidding, programmatic advertising ecosystems, and
• Google ADX.Understanding of Ad Server APIs, DSP/SSP integrations, DMP usage, auction dynamics, attribution modelling, conversion tracking, and audience s
• egmentation.Proven track record of optimi

sing AdTec h KPIs with demonstra

• ted results .Leadership - Strong communication skills for technical and executive audiences with ability to translate KPI improvements into busi ness impact.