Job Information
Lowe's Companies, Inc. Senior Data Scientist in Kirkland, Washington
JOB DESCRIPTION: Position is based in Kirkland, WA, full remote work available. Travel to Lowe's offices may be required.
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. 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.
JOB REQUIREMENTS: Job requires a Bachelor's degree* in Mathematics, Statistics, Computer Science, Data Science, CIS, Engineering, or a related field and 4 years of experience in any job title/occupation involving analytics or a related field. *Employer will accept single degree or combination of degrees, diplomas and/or professional experience equivalent to a Bachelor's degree.
Must have prior experience in:
4 years of experience in programming well-modularized data product within a version management system.
3 years of experience in evaluate the likelihood that two samples of dataset come from the same ground-truth distribution.
2 years of experience in
- Data science work of a full range from back-end system to graphical user-facing system;
- Database and storage solutions that handles both structured data and unstructured raw data;
- Programmatically build interactive dashboard and data visualizations;
- Advanced linear equations and geometry; and
- Automatically execute data processing tasks by schedule as well as inter-task dependencies.
1 year and 6 months of experience in:
- Statistical and machine learning tools, and underlying algorithms; and
Constructing, training, and deploying to a cloud platform machine learning models at the scale of hundreds of thousands of records.
Pay Range for CA, CO, HI, NJ, NY, WA: $191,750.00-$201,800 USD Annual Salary
Starting rate of pay may vary based on factors including, but not limited to, pos