Lead Data Scientist

6 days ago


Charlotte, North Carolina, United States Lowe's Home Improvement Full time
Job Summary

Lowe's Home Improvement is seeking a highly skilled Lead Data Scientist to spearhead innovative data science solutions for our Customer domain. As a key player in shaping the future of retail, you will leverage cutting-edge technologies to enhance customer experiences.

Key Responsibilities
  • Lead the full lifecycle of data science projects from inception to completion, adhering to enterprise product and project management practices.
  • Apply advanced data science, machine learning, and deep learning algorithms to derive insights and develop solutions on enterprise scale, providing a competitive advantage to Lowe's business.
  • Prepare final recommendations through effective storytelling and actionable insights for relevant stakeholders, ensuring solutions are best-in-class, implementable, and scalable in the business.
  • Support the development of automated self-service products and solutions for Lowe's business partners to effectively interpret data and build data products.
  • Establish and maintain robust data and AI governance practices, ensuring data integrity, security, and compliance with relevant regulations.
Requirements
  • 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).
  • 6 years of experience in analytics.
  • 2 years of programming experience (Python, Java, Scala, Rust, etc.).
  • OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field.
  • 3 years of experience in analytics.
  • 1 year of programming experience (Python, Java, Scala, Rust, etc.).
  • OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field.
  • 2 years of experience in analytics.
Preferred Qualifications
  • Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field.
  • 3 years of experience performing predictive analytics at a large-scale enterprise.
  • 3 years of experience in data science or advanced analytics in industry.
  • SQL experience.
  • Programming experience (Python, Java, Scala, Rust, etc.).
  • Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.).
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 www.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.



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