Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Best Buy is seeking a Senior Data Scientist to join the Data & Analytics Center Of Excellence. The Senior Data Scientist will design, develop, and deploy a wide variety of scientific solutions to improve Best Buy’s portfolio of labor planning. The Senior Data Scientist will own a direct relationship with business stakeholders as a trusted consultant and advisor and engage in a diverse assortment of data-driven mathematics, including demand forecasting, ad hoc statistical analytics, predictive modeling, optimization, and other quantitative studies. As a trusted business advisor, the Senior Data Scientist will develop recommendations, visualizations, dashboards, and presentations as well as engaging in data sourcing, data forensics, data transformations, and data pipelining. Additionally, this role will engage in the technical development of the software and processes needed to bring solutions to life in the corporate environment and in the field.

***While this is a remote role, the candidate must live within a commutable distance of Richfield, MN, Boston, MA, Atlanta, GA or Seattle, WA.

Key Responsibilities:

• Lead the development of demand forecasting, ad hoc statistical analytics, predictive modeling, optimization, visualization and dashboarding for Best Buy’s portfolio of labor planning. Enable self-service by establishing standard patterns.
• Review current and past studies of Best Buy’s labor planning. Identify key findings and recommend areas for future study.
• Assess the performance of labor allocation models and their effects on customer, employee, and financial metrics. Build a holistic understanding by identifying relationships, patterns, surpluses, shortages, and tradeoffs.
• Develop mathematical approaches to show the impacts of investments made in physical assets or labor pools and the corresponding effects of marginal dollars that are added and/or removed, capped and/or floored.
• Collect and categorize a backlog of inquires from business stakeholders. Assist in value targeting, business case development, and backlog grooming.
• Partner with external consulting firms in periodic engagements, assist in bidirectional data transfers and knowledge transfers.
• Build slides and other communicative documents to explain study findings to layperson and executive audiences. Develop training materials for business laypersons and practicing professionals.
• Evaluate, select, and deploy software and hardware as needed to improve Best Buy’s portfolio of physical assets or labor planning.
• Create organizational memory and double-loop learning for Best Buy’s physical assets or labor planning.

Basic Qualifications:

• Bachelor's degree in a highly quantitative field such as Computer Science, Engineering, Physics, Math, Operations Research or equivalent experience.
• 4 or more years of experience in data science, data analysis, data mining or other similar business functions. Advanced degrees in relevant fields may be counted towards experience requirements.
• 1 or more years of experience working with big data such as enterprise data warehouses, cloud databases, distributed data processing and/or distributed analytics.
• 1 or more years of experience and fluency with at least one data science/analytics programming language such as Python and/or R.
• Strong understanding of at least one focus area of data science such as statistics, operations research, design and analysis of experiments, machine learning, and/or quantitative analysis.

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field such as Statistics, Math, Operations Research, and/or Physics.
• 3-5 years hands-on data science experience (in addition to advanced degree).
• Experience using high performance machine learning and/or data mining frameworks.
• Experience building distributed data processing pipelines.