Data Scientist

Job Summary

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This role builds user interfaces from the direction of senior colleagues, and builds solutions using market research. This position gains experience in various areas including, but not limited to: generate texts and images by training Generative AI models; object detection from images and videos; predictive modeling; natural language processing and text recognition; search, precision, ranking, and related problems; Enrichment and fine adjustments of images and videos.

Focus Areas:

• Basics of Computer Vision
• AI/ML, Deep learning experience
• Python
• Strong in SQL
• Data Analytics - Data Cleansing, Data Classification, Building Data models.

Key Responsibilities:

• Mines and extracts data and applies statistics, machine learning, and deep learning necessary to derive insights and develop solutions on enterprise-scale providing a competitive advantage
• Supports the development of automated self-service products and solutions for business partners to effectively interpret data and build data products
• Builds production ready data science capabilities with proficiency in Python or equivalent languages
• Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.
• Conducts deep statistical analysis, including predictive and prescriptive modeling to provide a competitive advantage
• Works with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem
• Contributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines
• Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings
• Prepares final recommendations, ensuring solutions are scalable and implementable in the business
• Executes plan for measuring impact based on discussions with stakeholders, partners and senior team members
• Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training
• Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects

Required Qualifications

• Bachelor's Degree Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field).
• 2 Years 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 Masters or Doctorate degree)
• 2 Year Programming experience (Python, Java, Scala, Rust, etc.) (fewer years may be accepted with a Masters or Doctorate degree)

Preferred Qualifications:

• Master's Degree Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field and Experience working with cross-functional partners such as product, engineering, and business teams
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
• Knowledge of SQL and various statistical modeling or machine learning techniques

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.