Qureos Mentor

AFFINITY GLOBAL ADVERTISING

<div><div><div><b>About Affinity</b></div><div><b>
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Affinity is pioneering new frontiers in AdTech: developing solutions that push past today&rsquo;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 450 experts, we are building privacy-first ad infrastructure that opens up opportunities beyond the walled gardens.</div><p><b>
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Role: Director, Data Science</b></div><div><b>
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Work Location: Mumbai (Malad)</b></div><div>
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About Role:</b></div><p>
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 ecosystem.</p><div><b>
Roles &amp; Responsibility:</b></div><div><b>
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Think Future, Build present</b> &ndash; Create scalable solutions addressing current challenges while building frameworks for growth.</li></ul><div>
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Design AI/ML algorithms for performance and programmatic advertising platforms with emphasis on floor price optimization and yield management.</li><li>
Build bid prediction models and supply path optimization algorithms to maximize publisher revenue.</li><li>
Develop algos and models which help various targeting for real-time ad delivery.</li><li>
Implement audience segmentation and lookalike modelling for brand campaigns.</li></ul></ul><div>
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Think Data</b> &ndash; Derive data insights from processes, products, and integrations to achieve efficiency and performance goals.</li></ul><div>
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Establish KPI-driven measurement frameworks focused on incrementality gains and attribution accuracy.</li><li>
Build predictive models for campaign forecasting and budget optimizations.</li><li>
Develop fraud detection algorithms and brand safety classification systems.</li><li>
Analyze data and identify trends, patterns, and anomalies in model behavior.</li><li>
Ensure data privacy compliance (GDPR, CCPA) and implement secure data handling practices and participate in AI policy-making.</li></ul></ul><div>
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Think Technology</b> &ndash; Build enterprise-grade ML/ AI architectural solutions that drive real value, and measurable business impact.</li></ul><div>
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Develop MLOps and data pipelines from ad serving events, implementing real-time feature engineering and model serving infrastructure catering to billions of ads.</li><li>
Build predictive models, dashboard / reports for performance monitoring.</li><li>
Conduct rigorous A/B testing and statistical analysis to validate algorithmic improvements and business impact with explainable-AI algorithms.</li></ul><li><b><br>
Think Collaboration</b> - Partner with cross-functional teams (stakeholders, product, developers and business) to deliver models, dashboards, solutions that drive revenue KPIs</li></ul><div>
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Think Leadership </b>- Drive strategic ML/AI vision across business units, build and scale high-performing teams, and own P&amp;L responsibility for data science investments. Collaborate with fellow leaders to establish company-wide AI governance and present ROI metrics to executive leadership.</li></ul><div>
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Required Skills:</b></div><ul><li>
8+ years&rsquo; experience as Data Scientist with 3+ years in advertising technology and KPI optimisation</li><li>
MS/PhD in Computer Science, Statistics, Mathematics, or related quantitative field.</li><li><b><br>
Technical Expertise:</b><ul><li>
Programming: Advanced Python, SQL, with experience in Hadoop and Apache Spark for large-scale data processing.</li><li>
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.</li><li>
Infrastructure: Cloud platforms (GCP/Azure/AWS), MLOps, real-time model inference, feature stores, and ML pipeline orchestration</li><li>
Visualization: Power BI, Looker, Jupyter Notebooks, and custom dashboard developments</li><li>
Production Systems: Building scalable ML systems with real-time performance monitoring and A/B testing frameworks.</li></ul></li><li><b><br>
Domain Knowledge</b><ul><li>
Deep knowledge of digital marketing and advertising technologies and concepts like RTB protocols, header bidding, programmatic advertising ecosystems, and Google ADX.</li><li>
Understanding of Ad Server APIs, DSP/SSP integrations, DMP usage, auction dynamics, attribution modelling, conversion tracking, and audience segmentation.</li><li>
Proven track record of optimising AdTech <b>KPIs with </b>demonstrated results.</li></ul></li><li><b><br>
Leadership </b>- Strong communication skills for technical and executive audiences with ability to translate KPI improvements into business impact.</li></ul></div></div><div></div>

Director, Data Scientist

Join AFFINITY GLOBAL ADVERTISING and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

AFFINITY GLOBAL ADVERTISING

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Director, Data Scientist