Data Science Manager

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

About the role

Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Data Science Manager to lead a team of skilled data scientists in building intelligent systems that power our client's next phase of growth.

In this role, you'll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You'll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you'll 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

- Master's 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 2–3 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

- Master's degree in Machine Learning, Statistics, Computer Science, or related quantitative field
- 8+ years of experience in Data Science or Analytics
- 2–3 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

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