Data Scientist

Job Description

You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization. Develop and maintain pipelines for training and deploying machine learning models Develop and maintain forecasting models and tools using frameworks such as TensorFlow Design and deploy scalable API services for distributing model output data Support enterprise forecasting applications Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowes Supports the generation of an automated insights generation framework for Lowes business partners to effectively interpret data Provides actionable insights through data science on Merchandising priorities Tracks success of Lowes 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 Lowes 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 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 Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies Years of Experience: 2-5 years of experience in data science Required Minimum Qualifications : Bachelors 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 Masters 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 Skill Set Required Primary Skills (must have) Hands on experience in AI/ML Hands on experience in Python to build applications that are scalable Statistics Strong problem solving skills Data munging/wrangling Experience with SQL Secondary Skills (desired) Experience with Big Data systems like Hadoop or Big Query or Druid Experience solving data science problems in retail