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 450 experts, we are building privacy-first
ad infrastructure that opens up opportunities beyond the walled gardens.

Role: Director, Data Science

Work Location: Mumbai (Malad)

About Role:

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.

Roles & Responsibility:

Think Future, Build present – Create scalable solutions addressing current challenges while building frameworks for growth.

Design AI/ML
algorithms for performance and programmatic advertising platforms with emphasis
on floor price optimization and yield management.
Build bid prediction
models and supply path optimization algorithms to maximize publisher revenue.
Develop algos and
models which help various targeting for real-time ad delivery.
Implement audience
segmentation and lookalike modelling for brand campaigns.

Think 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 accuracy.
Build predictive
models for campaign forecasting and budget optimizations.
Develop fraud
detection algorithms and brand safety classification systems.
Analyze data and identify trends, patterns, and anomalies in model behavior.
Ensure data privacy
compliance (GDPR, CCPA) and implement secure data handling practices and
participate in AI policy-making.

Think Technology – Build enterprise-grade ML/ AI architectural solutions that drive real value, and measurable business impact.

Develop MLOps and data
pipelines from ad serving events, implementing real-time feature engineering
and model serving infrastructure catering to billions of ads.
Build predictive models, dashboard / reports for performance monitoring.
Conduct rigorous A/B
testing and statistical analysis to validate algorithmic improvements and
business impact with explainable-AI algorithms.

Think
Collaboration - Partner with cross-functional teams (stakeholders, product, developers and business) to deliver models, dashboards, solutions that drive revenue 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.

Required Skills:

8+ years’
experience as Data Scientist with 3+ years in advertising technology and KPI
optimisation
MS/PhD in Computer Science, Statistics,
Mathematics, or related quantitative field.
Technical 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 orchestration
- Visualization: Power BI, Looker, Jupyter Notebooks,
  and custom dashboard developments
- Production Systems: Building scalable ML systems
  with real-time performance monitoring and A/B testing frameworks.
Domain Knowledge
- Deep 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 segmentation.
- Proven track record of optimising AdTech KPIs
  with demonstrated results.
Leadership -
Strong communication skills for technical and executive audiences with ability
to translate KPI improvements into business impact.

Director, Data Scientist

Job Description - Director, Data Scientist

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