Sr Director, Data Science

About Lowe's

Lowe s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe s customers. Lowe s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in.

Job Summary

The primary purpose of this role is to provide deep technical leadership in the development of cutting -edge data science, machine learning, and deep learning solutions to solve Lowe s retail problems at massive scale.

This position will provide a wide range of strategic and technical leadership, research, and production ready implementations and solutions collaborating closely with engineering, product management and business partner teams.

You will support diverse areas of the home improvement retail business including, but not limited to: Supply Chain Data Science products like labor forecasting, Lane level forecasting, Dynamic service area modeling, Network flow modeling, Financial analytics and modeling , Inventory optimization across the network, Generative AI (LLM, Diffusion) and interactive chatbots to improve supply chain operations, safety, product data quality, and associate productivity across various distribution centers and for financial analysts.

Roles & Responsibilities

Core Responsibilities

• Effectively manage highly qualified team of data scientists (including director(s) and managers of DS teams) and motivate them to deliver impactful outcomes.
• Ability to deal with ambiguity, anticipate future business needs, implement strategic frameworks, and develop staff accordingly.
• Provides leadership to the team by attracting and hiring talented individuals, setting goals and communicating clear expectations, providing timely and constructive feedback as well as meaningful developmental opportunities, managing performance, providing resources and support as needed, and sponsoring and leading team members through change.
• Translates business challenges and opportunities into project ideas, manages data science projects, collaborates with engineering leadership for deploying models at scale, ultimately responsible for timely deliverables with high-quality.
• Builds, coaches, and mentors a strong team of Data Science professionals with varying levels of expertise. Build a strong set of next leaders for the organization.
• Collaborates with cross-functional groups, stakeholders, and leadership to ensure alignment and understand business needs and deliver actionable insights and AI enabled products to improve store operations, safety, product data quality, customer shopping experience, associate productivity across Lowes business.
• Maintain expert-level knowledge on industry trends, emerging technologies, managing research initiatives to explore their potential application in home improvement domain
• Partner with Product, Engineering, Business and Operations leadership to formulate roadmaps, influence decision making, and drive prioritization.
• Provides input for departmental budget and forecasting, and manages expenses associated with initiatives within scope of responsibility.

Educational Qualifications

• Bachelor s degree (Required): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field)
• Doctorate Degree (Preferred): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field

Work Experience

• 15 years experience in applied advanced analytics (fewer years may be accepted with a Masters or Doctorate degree)
• 5 Years leadership experience with direct report responsibility
• 8 Years experience with advanced data modeling techniques
• 12 years experience in applied advanced analytics

Primary skills

• Data Science Modeling leveraging predictive and prescriptive techniques at Scale
• Large language Models
• Computer Vision models
• Responsible AI
• Data Drift and Bias

Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Role: Head - Data Science

Industry Type: Retail

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

Skills Required
Data Modeling, Machine Learning, Data Science, Computer Vision, Data Quality, Product Engineering, Forecasting, Merchandising, Product Management