Nahur Mumbai Maharashtra Head server Jobs – 44 Open Jobs Today

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Director, Data Scientist

Affinity Global Advertising -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Power BI
Azure
Statistics
Doctoral degree
Computer Science
Spark
Master's degree
SQL
Profit & loss
AWS
Digital marketing
Natural language processing
APIs
Fraud prevention and detection
Data science
AI
Leadership
Communication skills
Python
Hadoop

Full job description

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.

Apply Now

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