Director Data Science
BangaloreFull Time EmployeePosted 1mo ago
About the role
Director - Data Science leading a team of data scientists to build production-grade ML solutions, owning the data science roadmap, and collaborating with product, tech, and business to deliver scalable, impactful AI/ML initiatives.
Responsibilities
- Lead, grow, and mentor a high-performing team of data scientists.
- Own all data science systems and models in your charter — from strategy to deployment and monitoring.
- Collaborate with senior product, engineering, and business leaders to define and prioritize impactful AI/ML initiatives.
- Represent Data Science in senior leadership discussions and clearly communicate technical strategies, investment decisions, trade-offs, and business impact.
- Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter.
- Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor.
- Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions.
- Lead RCA for critical production issues and improve system observability, documentation, and service uptime.
Qualifications
- Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
- 10+ years of experience in Data Science or Analytics, with at least 6 years of people management experience.
- Strong research background and knowledge of state of art in AI / ML.
- Proven track record of building and deploying ML models in production at scale.
- Experience managing teams of 20+ data scientists and delivering across cross-functional charters.
- Deep expertise in ML algorithms, experimental design, and performance monitoring.
- Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
- Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
- Strong communication and stakeholder management skills with a bias for action and clarity in execution.
- Strong experience in building large scale AI/ML applications for areas such as recommendations systems, ranking, retrieval, search etc
Skills
Required:Data Science leadershipMachine LearningPythonSQL
Last updated Oct 21, 2026. Interested? Apply on the company site.

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