Vacancy expired!
Job Summary:Would you like to work for a pioneering AI solutions company delivering the next generation of efficient customer experience at Lowes? We are seeking an enthusiastic and talented upper- mid-level to senior NLP Data Scientist to join our team. Our team is driven to make a difference for the customers and business partners we serve. We are looking for an experienced and motivated Data Scientist (NLP) to join our Data Science team. In this role, you will be working with other data scientists and engineers to help build our unstructured data extraction pipeline. You will be responsible for leveraging the latest machine learning and natural language processing technology to structure and normalize data. The ideal candidate will have no issue digging into messy data, working with business partners and subject matter experts to develop annotation guidelines to produce high-quality machine learning models. As a data scientist at Lowes, you will have the opportunity to touch all parts of the machine learning project lifecycle from dataset curation to model deployment.
We are seeking a scientist with a background in NLP or computational linguist or experience with conversational interfaces and some development skills. PhD level would be great with academic projects in NLP.Responsibilities:- 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
- Serves as a leading member on automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital
- 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 analytic approach to solving 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 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 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 2 years of experience in analytics AND 1 year 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 1 year of experience in analytics
- Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
- 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 Technology Hub
- Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
- Experience in performing predictive analytics in a large scale enterprise
- 2 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.)
Vacancy expired!