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