Sr Data Scientist, Pricing and Promotion

About Lowe’s

Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com

Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

Job Summary:

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modelling; Time Series and Demand Forecasting, Optimization, Linear and non linear curve fitting, Price Elasticity, feature engineering, model development and management, production deployment of the models, scalability of systems and measurement in the realm of price optimization, dynamic pricing and promotion analytics.

A Senior MLE solves complex problems that require deploying models at scale.

Must have skills: Deploying models at scale on python, Pyspark/any other distributed compute enviroinment, GCP, AI Vertex, kubernates, docker container, Fastapi/flask – deploying model as a service, orchestrating using airflow, model governance, MLOps, MLFlow, feature store concepts

Roles and Responsibilities:

• Applies advanced data science, machine learning (ML), and deep learning (DL) algorithms necessary to derive insights and develop solutions providing a competitive advantage to the business.
• Develops dashboard reports to track and measure financial results, customer satisfaction, and engagement metrics.
• Leads automation and analytical projects, collaborating across functions.
• Translates and provides guidance to more junior level scientists to translate requirements into an analytical approach.
• Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan and communicates with stakeholders to provide updates and manage scope.
• Prepares final recommendations through effective storytelling and actionable insights for the relevant stakeholders to build solutions that are implementable and scalable in the business.
• Executes plan for measuring impact based on discussions with stakeholders, partners, and senior team members.
• Executes projects with full adherence to enterprise project management practices by participating in formal and informal training.
• Maintains senior-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as uses it to guide team members.

Required Minimum Qualifications:

• Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4-8 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies
  OR

• Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 3-7 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies.
  OR

• Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2-5 year of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies.

Primary Skills (must have):

• 4 years of experience executing and deploying data science, ML, DL, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree)
• 2 years of SQL and programming experience (fewer years may be accepted with a master's or doctorate degree)
• Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)

Secondary Skills:

• Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field
• 2 years of experience working with cross-functional partners
• 2 years of experience using multiple data systems and sources

Lowe's 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.