Description :
Looking for an experienced Data Science Manager to lead our Search & Recommendations Engine team in Bangalore (WFO 2 days / week).
If youre passionate about ML models, personalization, A / B testing, and scalable recommendation systems, this role is for you!.
Experience : 10 to 15 Years.
Type : Contract | Full-time (Hourly).
Shift : 9 AM 6 PM.
Were looking for an experienced Data Science Manager to lead our Search and Recommendations team.
Youll be responsible for building and optimizing ML models that drive personalized product discovery, improve search relevance, and boost engagement across our platform.
This is a hands-on leadership role collaborating with engineering, product, and business stakeholders to deliver measurable impact through data science innovation.
What Youll Do :
- Lead and mentor a team of data scientists focused on search relevance, ranking, and recommendation systems.
- Define and deliver the roadmap for search & recommendation algorithms, balancing short-term impact and long-term innovation.
- Drive experimentation and model development using collaborative filtering, embeddings, neural retrieval, and ranking models.
- Partner with engineering to deploy and monitor ML models in production environments.
- Work closely with product teams to align on key metrics such as CTR, conversion rates, and user engagement.
- Establish best practices for model evaluation, feature engineering, and A / B testing.
- Stay ahead of the curve with the latest developments in AI / ML for personalized search and recommendation systems.
Must-Have Skills :
Python, TensorFlow / Keras.Elastic Search, Recommendation Engines, A / B Testing.Modeling Fundamentals & Linear Regression.Project / Program Management, Control Store Matching, Test Lift Analysis.Strong communication and stakeholder management skills.Good to Have :
Experience in large-scale e-commerce or content platforms.Proven track record leading data science projects from concept to production.Shift Timing : 9 AM 6 PM.
Office : TA India Bangalore ODC.
(ref : hirist.tech)