Principal Data Scientist
Location:
Mooresville , North Carolina
Posted:
November 18, 2017
Reference:
1291280BR
PURPOSE OF ROLE

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.

RESPONSIBILITY STATEMENTS

• Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's and Lowe's Digital

• Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data

• Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.

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

• Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's

• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it 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

• Serves as a subject-matter expert in a specific area of specialization as well as a thought leader on matters relating to data science

REQUIRED EDUCATION/EXPERIENCE

Bachelor's Degree in Computer Science, Operations Research, Economics, Physics, or similar areas of study that provide familiarity with quant topics and statistical theories

4- 8 years of experience in analytics, with knowledge of SQL, programming (Python, Java, Scala, Rust, etc.) and various statistical modeling or machine learning techniques

OR

Master's Degree in Related quantitative analytical field

2- 6 years of experience in analytics, with knowledge of SQL, programming (Python, Java, Scala, Rust, etc.) and various statistical modeling or machine learning techniques

OR

Ph.D. in related quantitative analytical field

1- 4 years of experience in analytics, with Knowledge of SQL, programming (Python, Java, Scala, Rust, etc.) and various statistical modeling or machine learning techniques

PREFERRED EDUCATION/EXPERIENCE

Ph.D. in related quantitative analytical field

3+ years of experience performing predictive analytics at a large-scale enterprise, as well as knowledge of the theoretical foundations of machine learning algorithms

Lowe's is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

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