Designation: Senior Data Scientist
Office Location: Remote
Position Description: We are looking for a highly skilled MidSenior Data Scientist to join our team and drive machine learning initiatives across our AdTech stack. The ideal candidate has strong experience in advertising optimization, user acquisition, recommendation systems, and predictive modeling, and can build scalable, production-ready ML solutions.
As part of our next-generation roadmap, we are actively investing in transformer-based architectures, graph-based learning, agentic AI pipelines, and state-of-the-art ML research to build best-in-class models for ad relevance, bidding efficiency, and user intelligence.
You will work closely with product, engineering, and business teams to design, build, and deploy models that directly impact campaign ROI and user engagement.
Key Responsibilities
Machine Learning & Modeling
- Build and optimise models for:
- Advertisement recommendation / personalization
- User retargeting and funnel optimisation
- User acquisition efficiency prediction
- Bid prediction / CTRCVR modeling
- Time-series forecasting (spend, conversions, bids, seasonality)
- Design and experiment with transformer architectures, graph neural networks, and agentic AI workflows for next-gen AdTech solutions.
- Develop feature pipelines, embeddings, and scalable ML architectures.
Data Engineering & Production
- Build end-to-end ML pipelines that run reliably in production.
- Write clean, modular, and efficient production-grade Python code.
- Work with large-scale datasets using Spark, BigQuery, Hive, or similar big-data tools.
- Collaborate with engineering to deploy models through APIs, microservices, and batch or streaming pipelines
Research & Problem Solving
- Conduct analytical deep-dives to uncover insights around user behaviour, campaigns, and ad inventory.
- Drive innovation by experimenting with transformers, GNNs, RL/agentic systems, and other frontier ML techniques.
- Identify opportunities for automation and optimisation using ML across the ad delivery ecosystem.
Required Skills & Experience
- Core Technical Skills
- Python (expert-level) with strong software engineering practices.
- SQL (advanced) for analytical queries and ETL workflows.
- Strong experience with TensorFlow or PyTorch for model development.
- Proficiency with Big Data ecosystems (Spark, Hadoop, BigQuery, Presto, etc.).
- Solid grounding in:
- Machine learning & deep learning
- Time-series models
- Recommendation systems
- Statistical modeling & experimental design
- Transformers, attention mechanisms, or modern deep architectures (preferred)
AdTech / Marketing Tech Experience (Highly preferred but not mandatory)
- Experience with CTR/CVR prediction, bidding algorithms, funnel optimisation, or attribution.
- Understanding of real-time ad delivery, event-level signals, and performance marketing data.
Soft Skills
- Excellent problem-solving ability and strong business intuition.
- Ability to translate unsolved business problems into ML solutions.
- Ownership mindset with experience taking projects from design production.
Good to Have
- Experience with GNNs, transformers, or RL/agentic AI models in production.
- Familiarity with MLOps tools (Airflow, MLflow, Metaflow, Feature Stores).
- Experience with Docker, Kubernetes, or cloud ML platforms.
- Knowledge of streaming systems (Kafka, Flink, Spark Streaming).
What We Offer
- The opportunity to build next-generation ML systems in a fast-growing AdTech environment.
- A role with high ownership and real business impact.
- A culture that encourages experimentation, innovation, and learning.
Work Environment Details:
About Affle:
Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer recommendations and conversions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. Affle powers unique and integrated consumer journeys for marketers to drive high ROI, measurable outcome-led advertising through its Affle2.0 Consumer Platforms Stack which includes Appnext, Jampp, MAAS, mediasmart, RevX, Vizury and YouAppi.
Affle 3i Limited successfully completed its IPO in India and now trades on the stock exchanges (BSE: 542752 & NSE: AFFLE). Affle Holdings is the Singapore-based promoter for Affle 3i Limited, and its investors include Microsoft, and Bennett Coleman & Company (BCCL) amongst others.
For more details, please visit:: www.affle.com
About BU (RevX)
The RevX platform helps app businesses acquire and re-engage users via programmatic advertising to retain and accelerate revenue. We're all about taking your app business to a new growth level. We rely on data science, innovative technology, and a skilled team to create and deliver seamless ad experiences to delight your app users.
For more information please visit www.revx.io
