Sr. Manager, Data Science

Your Impact

The primary purpose of the Sr Manager, Data Science is to manage a team of data science professionals in the development of data science initiatives. This position works to ensure the alignment, buy-in, and support of diverse stakeholders in driving data science offerings. Finally, the Sr Manager, Data Science manages the full lifecycle of data science projects from inception to completion with full adherence to enterprise product and project management practices.

Join our growing technology team and pioneer cutting-edge projects to shape the future of retail technology through AI/ML innovation. You'll collaborate cross-functionally with high-performing teams across the organization to develop the product vision, enhance customer experiences, drive product execution, influence advocacy, and deliver data-driven insights for informed decision-making.

Create the future of Retail Tech
As a leader and data science expert, you'll be able to shape the future of retail technology under the leadership one of Forbes Top 50 CIOs, Seemantini Godbole. You'll also be leading a talented team who share your passion for innovation and excellence.

We've been around for over 100 years, so we're not going anywhere. We have the stability you need to focus on looking to the future and bringing your team there with you. And you'll be surrounded by peers who are visionaries in their areas - people who can collaborate with you to challenge you, help you grow, and inspire you. We know what it takes to build an inclusive culture - from collaborating with diverse and curious minds to approaching challenges with new perspectives.

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

• Establish Product Vision: Drive the development of product vision and strategy by using data and insights to find opportunities for innovation and growth.
• Customer Experience: Apply advanced analytics techniques to understand customer behavior, preferences, and needs, and drive initiatives to improve the overall customer experience.
• Product Execution: Lead the end-to-end execution of data science projects, including data exploration, model development, validation, and deployment, ensuring high-quality deliverables within timelines.
• Advocacy Influence: Collaborate with business stakeholders to advocate for data-driven decision-making, influencing the adoption of data-driven strategies and insights across the organization.
• Product Analysis/Insights: Analyze large-scale datasets, develop statistical models, and generate actionable insights that drive operational efficiency, revenue growth, and customer satisfaction.

Minimum Qualifications

• Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• 1-4 years of experience in analytics and programming (Python, Java, Scala, SQL etc.)
• Knowledge of SQL and advanced statistical modeling and machine learning techniques
• Industry experience as a Data Scientist and experience in Python, machine learning, data mining, experimentation, search relevancy ranking, recommender systems or information retrieval, and deep learning frameworks (ex: tensorflow/pytorch/Keras, scikit-learn/scipi, numpy, pandas, Golve, word2vec, fasttext, bert etc.)
• Strong communication, collaboration, and presentation skills
• Effective analytical, troubleshooting, and problem-solving skills for building systems to process both structured and unstructured data
• Retail business understanding

Preferred Skills/Experience

• Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• Strongly preferred experience in retail e-commerce or related domains.
• Experience with edge computing or IOT frameworks
• Google Cloud certifications
• At least 3 years of experience in data science or performing predictive analytics at a large-scale enterprise
• SQL Proficiency
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
• Experience in managing AI models in Google/AWS platform and working with Kubernetes environment, Kubeflow/pipeline.ai or similar tools.

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® 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 Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. 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: $122,600.00 - $232,900.00 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.