Manager, Data Scientist

Saks Global; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Comprehensive benefits package including medical, vision, and dental

Opportunity for career advancement across various sectors

Job summary

A leading luxury retailer in Bengaluru is seeking a Data Science Team Leader to guide a team of data scientists. The role focuses on delivering high-impact solutions, mentoring team members, and aligning data science with business goals. Candidates should possess 10 - 12 years of experience in implementing data science models, along with strong management and technical skills. This position offers comprehensive benefits and opportunities for growth.

Qualifications

• 10 - 12 years of experience in implementing DS models.
• Strong DS technical foundation with best practices.
• Proven experience in people management and growth planning.
• Familiarity with advanced ML/DL methods and ability to evaluate when/where to apply them.
• Experience in scaling models from POC to production and ensuring robustness of deployed systems.
• Ability to review code, pipelines, and architecture for quality, efficiency, and maintainability.
• Strong grounding in ML lifecycle management (data prep, feature engineering, experimentation, deployment, monitoring).
• Strategic thinking to align technical choices with business impact and maximize ROI.
• Experience working cross-functionally with engineering, product, and business teams to ensure adoption and scalability.

Responsibilities

• Guide and review project pipelines, ensuring quality and timely delivery.
• Manage and mentor data scientists, providing career guidance.
• Take responsibility for the team’s deliverables and own functional outcomes.
• Coordinate with stakeholders and business partners to align solutions.
• Define goals, and promote out-of-the-box experimentation.
• Drive synergy among direct reports and ensure team cohesion.

Skills

Strong DS technical foundation

Proven experience in people management

Familiarity with advanced ML/DL methods

Scaling models from POC to production

Review code and pipelines

Grounding in ML lifecycle management

Strategic thinking

Experience working cross-functionally

Job description

Overview

WHO WE ARE: Saks Global is the largest multi-brand luxury retailer in the world, comprising Saks Fifth Avenue, Neiman Marcus, Bergdorf Goodman, Saks OFF 5TH, Last Call and Horchow. Its retail portfolio includes 70 full-line luxury locations, additional off-price locations and five distinct e-commerce experiences. Saks Global is redefining luxury shopping by offering each customer a personalized experience that is unmistakably their own. Saks Global Properties & Investments includes Saks Fifth Avenue and Neiman Marcus flagship properties and represents nearly 13 million square feet of prime U.S. real estate holdings and investments in luxury markets.

ABOUT THE ROLE: You will guide and inspire a team of data scientists to deliver high-impact solutions for all the Saks global banners. Whether it’s reviewing end-to-end projects, mentoring team members, or driving innovation in DS practices, your work helps us align data science with business goals and scale solutions that make a measurable impact.

Responsibilities

• Guide and review project pipelines, ensuring quality and timely delivery.
• Manage and mentor DS/SDS, providing career guidance and fostering innovation.
• Take responsibility for the team’s deliverables and own functional outcomes.
• Coordinate with cross-GCC verticals, stakeholders, and business partners to socialize and align solutions.
• Define goals, and promote out-of-the-box experimentation aligned with business impact.
• Drive synergy among direct reports and ensure team cohesion.

Qualifications

• 10 - 12 years of experience in implementing DS models with emphasis on.

Required skills

• Strong DS technical foundation with the ability to enforce and promote best practices.
• Proven experience in people management - coaching, performance reviews, and growth planning.
• Familiarity with advanced ML/DL methods and ability to evaluate when/where to apply them.
• Experience in scaling models from POC to production and ensuring robustness of deployed systems.
• Ability to review code, pipelines, and architecture for quality, efficiency, and maintainability.
• Strong grounding in ML lifecycle management (data prep, feature engineering, experimentation, deployment, monitoring).
• Strategic thinking to align technical choices with business impact and maximize ROI.
• Experience working cross-functionally with engineering, product, and business teams to ensure adoption and scalability.

Pay range and compensation package

• Comprehensive benefits package for all eligible full-time employees (including medical, vision and dental).

Equal Opportunity Statement

Saks Global is committed to diversity and inclusivity.

Your life and career at Saks Global

• Opportunity to work in a dynamic fast paced environment at a company experiencing growth and transformation.
• Exposure to rewarding career advancement opportunities across the largest multi-brand luxury retailer from retail to distribution, to digital or corporate.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• Retail Apparel and Fashion