Lowe's Sr Data Scientist - Severe Weather in Charlotte, North Carolina
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.
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
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
- Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.)
- 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.)
- 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
- Knowledge of SQL and various statistical modeling or machine learning techniques
In most cases Lowe’s will not be able to provide sponsorship for roles located in the Tech Hub
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
Programming experience (Python, Java, Scala, Rust, etc.)
Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 18 million customers a week in the United States and Canada. With fiscal year 2019 sales of $72.1 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports its hometown Charlotte region and all 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.
About Lowe’s in the Community:
As a FORTUNE® 50 home improvement company, Lowe’s is committed to creating safe, affordable housing and helping to develop the next generation of skilled trade experts through nonprofit partnerships. Across every community we serve, Lowe’s associates donate their time and expertise through the Lowe’s Heroes volunteer program. For the latest news, visit Newsroom.Lowes.com or follow @LowesMedia on Twitter.
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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