Data Scientist - LLM

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.

Innovate in Charlotte

This position is based at our on-site Tech Hub in Charlotte, North Carolina. Lowe's Tech Hub is an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site barista and Zen Garden, and other perks to enhance your work experience.

What You Will Do

• Design and conduct experiments to test hypotheses and validate model assumptions

• Analyze experimental results and provide recommendations for further optimization.

• Implement clustering, classification, regression, and other machine learning algorithms as needed.

• Apply data mining techniques to extract actionable insights from structured and unstructured data.

• Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.

• Develop and deploy predictive models using machine learning algorithms.

• Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.

• Evaluate model accuracy, precision, recall, and other performance metrics

Minimum Qualifications

• 2 years of experience in software development or a related field

• 2 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development

• 2 years of experience working with any of the following: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps

• Bachelor's degree in computer science, computer information systems, or related field (or equivalent work experience in lieu of degree)

Preferred Skills/Education

• Proven experience in data science, machine learning, or predictive analytics roles

• Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.)

• Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI)

Benefits

• 401k with up to 4.25% match

• Bi- annual Cash Bonus

• Discounted Employee Stock Purchase Plan (15% discount of strike price)

• Tuition-Free Education

• 10-week Maternity/Paternal 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 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 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.
Pay Range: $75,300.00 - $143,100.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.