Title Product Data Scientist

- Build, deploy, and own product-focused machine learning models spanning personalization, content recommendation, churn and retention prediction, and engagement managing the full lifecycle from problem framing to deployment, monitoring, and iteration.
- Translate ambiguous product questions into well-defined data science problems, selecting the right mix of statistical analysis, experimentation, and machine learning to generate insight and drive product decisions.
- Design and analyze A/B tests and pre- and post-launch feature-impact studies, applying hypothesis testing and causal inference to measure the true impact of product changes and shape the roadmap.
- Develop user segmentation and lifecycle models (clustering, propensity, cohort analysis) that inform product experience, feature targeting, content discovery, and platform strategy.
- Apply up-to-date AI and GenAI/LLM tools to real product use cases such as content tagging, metadata enrichment, summarization, and recommendation – with clear evidence of impact that goes beyond generating code.
- Apply strong statistical foundations to validate models, select appropriate evaluation metrics, and continuously optimize model performance, accuracy, and reliability in production.
- Own end-to-end analytical deep dives; define and monitor key product metrics and build dashboards and reports that give product managers and stakeholders real-time visibility into product health.
- Use strong SQL and Python (Pandas/NumPy) to extract, clean, and transform large-scale, event-level data into analysis- and model-ready datasets, and automate recurring data and modeling workflows.

Partner with Product, Editorial, Marketing,



and Business teams to clearly communicate model outputs and data-driven recommendations that influence product decisions

Desired Candidate Profile

- Education: Bachelor’s degree or higher in a quantitative field from Tier-1/Tier-2 engineering or quantitative colleges (IIT, NIT, IIIT, BITS, top private colleges) OR exceptional data science/product experience in consumer tech.
- Data Science & Technical Skills:
- Machine Learning: Hands-on experience building and deploying models across regression, classification, clustering, recommendation systems, and time-series forecasting (Scikit-learn, XGBoost, Statsmodels; exposure to TensorFlow/PyTorch is a plus), with a solid grasp of the underlying mathematics.
- Statistics & Experimentation: Strong foundation in statistics, probability, hypothesis testing, experimental design, and A/B testing.
- Programming & Data: Advanced Python and strong SQL for large-scale data extraction, transformation, and modeling; familiarity with cloud data platforms (BigQuery, Snowflake, or Redshift) is a plus.
- Data Visualization: Ability to present insights clearly through data visualization and dashboards using standard reporting tools.
- AI Knowledge & Expertise:
- Hands-on expertise with the latest AI and GenAI/LLM tools, with clear evidence of product or business use cases solved using AI that go beyond generating code.
- Awareness of MLOps, model deployment, and production monitoring is desirable.




- Logical & Analytical Ability:
- Strong logical reasoning and first-principles problem solving, with the ability to structure ambiguous problems and design sound, well-reasoned analytical approaches.
- Ability to work independently, with evidence of independent, end-to-end project ownership.
- Communication:
- Excellent communication skills, with relevant, hands-on experience in client and stakeholder management, translating complex models and “data dumps” into clear, actionable business stories and product recommendations.
- Experience: 2-3 years in Data Science and Product Analytics, with hands-on model-building experience; prior experience in the OTT, streaming, digital media, or consumer internet domain is highly preferred.

We are seeking candidates who can join in 45 days max.

Perks and Benefits:

Work from Home, Great Work Environment, Above Market Salary

Important Links that you can look up are:

http://futuretodayinc.com/ (parent company)

https://fawesome.tv/

https://happykids.tv/

About the Company:

We are an OTT video streaming company, which specializes in cutting edge media technology and marketing. iFood Web Media Technology is the Indian arm of Silicon Valley based company Future Today Inc. The company operates over 700 channels on leading Connected TV/Smart TV/OTT platforms like Roku, Amazon FireTV, Apple TV, Windows 10, Android, etc. and launching soon on Jio TV (Reliance). Our model of business is Ad funded video on demand (AVOD). Our channels/apps are segmented into popular verticals such as Movies & TV, Kids & Family, Food & Lifestyle, etc. Some of the leading Future Today channels include HappyKids.tv, iFood.tv, Fawesome.tv and more.

📌 Product Data Scientist (Pune)
🏢 Ifood Web Media Technology
📍 Pune