About Affinity
Affinity is pioneering newfrontiers in AdTech: developing solutions that push past today s limits andopen up new opportunities. We are a global AdTech company helping publishersdiscover better ways to monetize and enabling advertisers to reach the rightaudiences through new touchpoints. Operating across 10+ markets in Asia, theUS, and Europe with a team of over 450 experts, we are building privacy-firstad infrastructure that opens up opportunities beyond the walled gardens.
Role: Director, Data Science
Work Location: Mumbai (Malad)
About Role:
We areseeking a Head of Data Science to lead AI/ML initiatives across all our businessunits, driving measurable impact in digital advertising through sophisticatedalgorithms and team leadership. This high-impact role combines hands-ontechnical expertise with strategic vision, directly influencing millions inadvertising revenue. Youll collaborate with C-level executives while buildingindustry-leading AdTech solutions and establishing measurement frameworks thatset new standards for performance. Were looking for a technical visionary whocan balance algorithm development with strategic leadership across our globaladvertising ecosystem.
Roles & Responsibility:
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Think Future, Build present
Create scalable solutions addressing current challenges while building frameworks for growth.
- Design AI/MLalgorithms for performance and programmatic advertising platforms with emphasison floor price optimization and yield management.
- Build bid predictionmodels and supply path optimization algorithms to maximize publisher revenue.
- Develop algos andmodels which help various targeting for real-time ad delivery.
- Implement audiencesegmentation and lookalike modelling for brand campaigns.
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Think Data
Derive data insights from processes, products, and integrations to achieve efficiency and performance goals.
- Establish KPI-drivenmeasurement frameworks focused on incrementality gains and attribution accuracy.
- Build predictivemodels for campaign forecasting and budget optimizations.
- Develop frauddetection algorithms and brand safety classification systems.
- Analyze data and identify trends, patterns, and anomalies in model behavior.
- Ensure data privacycompliance (GDPR, CCPA) and implement secure data handling practices andparticipate in AI policy-making.
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Think Technology
Build enterprise-grade ML/ AI architectural solutions that drive real value, and measurable business impact.
- Develop MLOps and datapipelines from ad serving events, implementing real-time feature engineeringand model serving infrastructure catering to billions of ads.
- Build predictive models, dashboard / reports for performance monitoring.
- Conduct rigorous A/Btesting and statistical analysis to validate algorithmic improvements andbusiness impact with explainable-AI algorithms.
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ThinkCollaboration
- Partner with cross-functional teams (stakeholders, product, developers and business) to deliver models, dashboards, solutions that drive revenue KPIs
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Think Leadership
-Drive strategic ML/AI vision across business units, build and scalehigh-performing teams, and own P&L responsibility for data scienceinvestments. Collaborate with fellow leaders to establish company-wide AIgovernance and present ROI metrics to executive leadership.
Required Skills:
- 8+ years experience as Data Scientist with 3+ years in advertising technology and KPIoptimisation
- MS/PhD in Computer Science, Statistics,Mathematics, or related quantitative field.
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Technical Expertise:
- Programming: Advanced Python, SQL, with experiencein Hadoop and Apache Spark for large-scale data processing.
- ML/ AI stack: Tensorflow, PyTorch, XGBoost, LLMs, scikit-learnfor time-series forecasting, recommendation systems, NLP optimisation, andcausal inference. Exposure to ML, NN, GenAI algorithms.
- Infrastructure: Cloud platforms (GCP/Azure/AWS),MLOps, real-time model inference, feature stores, and ML pipeline orchestration
- Visualization: Power BI, Looker, Jupyter Notebooks,and custom dashboard developments
- Production Systems: Building scalable ML systemswith real-time performance monitoring and A/B testing frameworks.
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Domain Knowledge
- Deep knowledge of digital marketing and advertisingtechnologies and concepts like RTB protocols, header bidding, programmaticadvertising ecosystems, and Google ADX.
- Understanding of Ad Server APIs, DSP/SSPintegrations, DMP usage, auction dynamics, attribution modelling, conversiontracking, and audience segmentation.
- Proven track record of optimising AdTech
KPIswith
demonstrated results. -
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Leadership
-Strong communication skills for technical and executive audiences with abilityto translate KPI improvements into business impact.
