Data Scientist

Innovate in Charlotte Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply! Your Impact The primary purpose of the Data Scientist is to provide analytical capabilities to support data science initiatives.

This position solves complex problems with close supervision and direction of senior colleagues and is responsible for the data science support of various company initiatives. Finally, this position supports the development of automated self-service products and solutions for business partners to effectively interpret data and build data products.

Work with a Winning Team As part of a Fortune 50 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer.

We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success.

There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.

What You Will Do Develop and maintain forecasting and machine learning models to support demand planning, inventory optimization, and business forecasting use cases. Assist in building item-location level demand forecasting models using time series, machine learning, and statistical approaches.

Support development of forecasting solutions for promotions, seasonality, and trend-based demand changes. Contribute to modeling promotion impact on demand, including basic uplift estimation and feature engineering for promotional signals. Work with senior data scientists to apply advanced time series techniques such as ARIMA, Prophet, and ML-based forecasting models.

Support development of hierarchical forecasting approaches (top-down / bottom-up) under guidance of senior team members. Extract, clean, and prepare large-scale datasets for modeling and analysis. Collaborate with cross-functional teams including analysts, engineers, and product stakeholders to translate business requirements into data science solutions.

Assist in identifying drivers of forecast variance and improving forecast accuracy through model tuning and performance analysis. Support deployment and monitoring of ML models in production environments. Help build scalable and automated forecasting pipelines using cloud-based tools and big data frameworks.

Stay updated with emerging machine learning and forecasting techniques and apply them under guidance. Minimum Qualifications Bachelor’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field or equivalent years of experience in lieu of education requirement, if applicable 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree) 1 year of SQL and programming experience (fewer years may be accepted with a master's or doctorate degree) Preferred Skills/Education Master’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field 1 year of experience using multiple data systems and sources 1 year of experience working with cross-functional partners Exposure to forecasting or demand planning use cases (retail, supply chain, or e-commerce preferred).

Understanding of time series forecasting methods such as ARIMA, Prophet, or regression-based approaches. Basic knowledge of machine learning models such as XGBoost, Random Forest, or GLM. Exposure to big data tools such as Spark, PySpark, or cloud platforms (GCP/AWS/Azure).

Familiarity with ML workflow tools such as MLflow, Vertex AI, or similar (nice to have). Understanding of forecast evaluation metrics such as MAPE, MAE, or RMSE. Experience working in collaborative environments with cross-functional teams. Benefits 401k with up to 4.25% match Discounted Employee Stock Purchase Plan (15% discount of strike price) Tuition-Free Education 10-week Maternity/Parental Leave 10% Associate Discount For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion.

Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. 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 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.