Manager, Data Scientist

Overview

• Inventory Allocation & Replenishment
• Assortment Planning & Store Clustering
• Initial Pricing, Promotions, and Markdown Optimization
• Predictive Ordering, and Size & Pack Optimization
• Intelligent Order Promising
• Retail Shrink, Fraud, & Supply Chain Anomaly Detection
• Workforce & Labor Scheduling Optimization
• People Leadership & Talent Development
• Lead & Mentor a High-Performing Pod:  Directly manage, mentor, and coach a focused team of 2–3 junior/associate data scientists and interns.
• Technical Guidance & Quality Standards:  Conduct rigorous code, model, and methodology reviews to ensure high analytical fidelity, production-readiness, and adherence to ML best practices.
• Career Growth:  Set clear objectives, conduct performance reviews, foster a culture of continuous learning, and help team members rapidly upskill across our cloud lakehouse and AI-native SaaS ecosystem.
• Customer Engagement & Professional Services Delivery
• Lead Client Analytics Engagements:  Act as the primary data science leader and trusted advisor for enterprise retail/CPG customer stakeholders (Directors, VPs of Supply Chain, Merchandising, and IT).
• Scope & Expectation Management: Translate ambiguous customer business problems into concrete mathematical and data science roadmaps; scope deliverables, negotiate commitments, and proactively manage project timelines and expectations.
• Executive Storytelling & Value Delivery:  Communicate complex predictive and prescriptive model behaviors (e.g., promotional lift, price elasticity curves, allocation trade-offs) in plain, business-centric language that demonstrates clear ROI.
• GenAI & Agentic-AI Operational Transformation
• Drive Professional Services Scalability:  Lead the exploration, design, and internal rollout of GenAI and Agentic-AI capabilities to 10x the productivity and delivery speed of our professional services organization.
• Automate Core Data & Deployment Workflows:  Architect agentic workflows for autonomous data discovery, schema mapping, and ETL migration, drastically reducing customer onboarding lead time.
• Innovate Frontier AI Capabilities:  Spearhead the application of LLMs and foundation models to solve complex domain challenges—such as automated forecast validation, natural-language root-cause generation, promotional cannibalization modeling, and "cold-start" demand intelligence for zero-history new product or new store launches.
• SaaS Product Innovation & Thought Leadership
• Bridge Services to Product:  Identify recurring customer requirements and algorithmic customizations, partnering closely with Product Management and Core Engineering to productize them into standard, reusable SaaS platform features.
• Algorithmic & Architecture Leadership:  Provide hands-on architectural direction across statistica

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

Job Title: Manager, Data Science

Department: Workcloud SaaS Professional Services

Technology Stack: Databricks Unified Analytics Platform, Microsoft Azure Lakehouse Platform & Modern GenAI/Agentic AI Stacks

Location: Hybrid - Bangalore

Employment Type: Full-Time 🌟 About the Role & Business Unit

Retail and Consumer Packaged Goods (CPG) supply chains operate in dynamic, high-stakes environments where every decision—from what to stock to how to price—hinges on knowing what customer demand will look like tomorrow.

Our team delivers enterprise-grade SaaS decision management solutions on Microsoft Azure and Databricks. At the foundation of our platform is a cutting-edge Time Series Demand Forecasting engine, which directly powers downstream optimization applications including:

As the Manager, Data Science, you will occupy a high-impact leadership role at the intersection of people mentorship, customer engagement, technical architecture, and GenAI transformation. You will lead a dedicated pod of data scientists, own enterprise client relationships from an analytical standpoint, shape the strategic roadmap of our core SaaS products, and spearhead the adoption of GenAI, LLMs, and Agentic AI to drastically accelerate team productivity and drive scalable professional services delivery.

🎯 Key Responsibilities & What You’ll Do