On-site opportunity at
MeeshoDirector Data Science
The Director of Data Science leads a team of data scientists who build intelligent systems used by millions of Meesho users across a very wide range…
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About This Role
The Director of Data Science leads a team of data scientists who build intelligent systems used by millions of Meesho users across a very wide range of product categories. The posting says the team is working on the future of commerce in Bharat. The job is based in Bengaluru. The director is accountable for data science planning across one of the company's main business charters. That covers strategy, deployment and…
Job Description
The Director of Data Science leads a team of data scientists who build intelligent systems used by millions of Meesho users across a very wide range of product categories. The posting says the team is working on the future of commerce in Bharat. The job is based in Bengaluru.
The director is accountable for data science planning across one of the company's main business charters. That covers strategy, deployment and monitoring of models and systems, and setting priorities for AI and machine learning work alongside product, engineering and business heads. The director presents investment choices, trade-offs and business impact to senior leadership.
Technical duties include driving platformisation, architecture decisions and improvements to the machine learning lifecycle. The director keeps models scalable, fast and economical to run, keeps statistical and experimental rigour high, and guides the team on current research and build-or-buy choices. The role also covers root-cause analysis of serious production issues and improvements to observability, documentation and uptime.
The role suits a leader with a master's or doctoral background in a quantitative field, a decade of data science or analytics experience, at least six years of people management, and a record of putting large-scale machine learning into production.
Responsibilities
- Build up and coach a strong data science team, leading it day to day.
- Hold accountability for every data science system and model in the charter, from planning through to live monitoring.
- Set priorities for AI and machine learning initiatives alongside product, engineering and business heads.
- Present technical strategy, investment decisions and trade-offs to senior leadership.
- Drive platformisation, system architecture and ML lifecycle improvements.
- Keep models scalable, fast and economical to run.
- Run root-cause investigations into serious production failures and strengthen monitoring and uptime.
Requirements
- A master's degree in a quantitative discipline such as machine learning, statistics or computing.
- A decade or more in data science or analytics, including six years managing people.
- A strong research background and up-to-date knowledge of AI and ML.
- A history of taking machine learning models into live production at high volume.
- Experience managing teams of 20 or more data scientists across cross-functional charters.
- Strong depth in machine learning algorithms, experiment design and tracking performance.
- Strong Python and SQL skills, with familiarity with Spark, Hive or Redshift.
- Track record of shipping AI and ML systems at scale for recommendations, ranking, retrieval or search.
- Strong communication and stakeholder management.
Qualifications
- A PhD is preferred.
- Prior record of leading machine learning work in consumer-facing or online retail businesses.
- Understanding of latency, cost and throughput trade-offs in ML systems.
- Work on internal tooling, open-source projects or published research, particularly in recommender systems, information retrieval or knowledge discovery.
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The role is listed as on-site in Bengaluru.
What experience is required?
The posting asks for ten or more years in data science or analytics, including at least six years of people management and experience managing teams of 20 or more data scientists.
Is a PhD required?
No, a master's degree is required and a PhD is preferred.
What is the salary?
The posting does not specify a salary.
How do I apply?
The posting does not describe an application process.
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