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Data Scientist - Stores Ml

Company

Lowe's

Address , Charlotte, 28203, Nc
Employment type FULL_TIME
Salary $55,600 - $140,000 a year
Expires 2023-07-16
Posted at 11 months ago
Job Description
Are you looking for an opportunity where you can marry hardware and software to digitalize the Lowe’s stores? Are you inspired by a challenge? Is problem solving in your DNA? If your answer to any of these questions is yes, then you will be a great fit for this innovative team! This is a team of result driven individuals that are passionate about inventing new cutting-edge solutions and solving real – world challenges!
Job Summary
We are looking for a Data Scientist to join our Stores Team focused on utilizing statistical and machine learning techniques to create a framework for data-driven design experimentation for store-related products. As expanding the team, we are looking for self-driven and motivated individuals to help Lowe’s in its store transformation journey.
The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. Areas of focus are: experimental design; predictive modeling; decision support systems; recall, precision, ranking, and related problems; and optimization;
Qualifications
Minimum Qualifications
  • Bachelor's Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.)
OR
  • Master's Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics
OR
  • Ph.D. in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
Also
  • Knowledge of SQL and various statistical modeling or machine learning techniques

Preferred Qualifications
  • Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
  • Experience in performing predictive analytics in a large scale enterprise
  • SQL Experience
  • 2 years of experience in data science or advanced analytics in industry
  • Master's Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
  • Programming experience (Python, Java, Scala, Rust, etc.)

About Lowe’s
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where 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.

EEO Statement

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 for CA, CO, NJ, NY, WA: $55,600.00 - $140,000.00 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. Pay Range for CA, CO, NJ, NY, WA: $55,600.00 - $140,000.00 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.