Data Science Manager

This role is for one of worko&aposs clients, a leading E-commerce platform:

About the role

Data Science Manager

In this role, youll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. Youll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, youll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement.

Key Responsibilities

• Lead, grow, and mentor a high-performing team of data scientists and ML engineers.
• 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 DS initiatives.
• 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.

Requirements

• Masters degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
• 8+ years of experience in Data Science or Analytics, with at least 23 years of people management experience.
• Proven track record of building and deploying ML models in production at scale.
• Experience managing teams of 4+ data scientists/engineers 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.

Mandatory Requirements

• Masters degree in Machine Learning, Statistics, Computer Science, or related quantitative field
• 8+ years of experience in Data Science or Analytics
• 23 years of people management experience
• Proven track record of building and deploying ML models in production at scale
• Experience managing teams of 4+ data scientists/engineers
• Deep expertise in ML algorithms, experimental design, and performance monitoring
• Strong coding skills (Python, SQL)
• Familiarity with Big Data technologies like Spark, Hive, or Redshift
• Ability to translate business needs into technical solutions
• Strong communication and stakeholder management skills

Preferred Requirements

• Experience leading ML initiatives in B2C or e-commerce settings
• Contributions to internal tools, open-source libraries, or research publications
• Experience in personalization, recommendations, ranking, or supply chain ML problems
• Strong understanding of ML system performance trade-offs

Salary

100-120 lpa