Campus Pride Jobs

Your Impact

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.

A Senior Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members.

What you will do

• Applies advanced data science, machine learning, and deep learning algorithms necessary to derive insights and develop solutions on enterprise-scale providing a competitive advantage

• Prepares final recommendations through effective storytelling and actionable insights for the relevant stakeholders, ensuring solutions are best-in-class, implementable and scalable in the business

• Tracks company success through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics

• Supports the development of automated self-service products and solutions for business partners to effectively interpret data and build data products

• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects and to guide team members

• Leads automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital

• Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members

• Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager

• Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly

• Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope

• Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable 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 project management practices by participating in formal and informal training

• Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies

Qualifications

Minimum Qualifications

• 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) AND 4 years of experience in analytics AND 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 AND 2 years of experience in analytics AND 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 AND 1 year of experience in analytics

Also

• Knowledge of SQL and various statistical modeling or machine learning techniques

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 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: $92,300.00 - $175,400.00 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.