Data Scientist (Req # 70078)

Company: Staples, Inc.
Location: Framingham, MA
Position Title: Data Scientist (Recruitment # 70078)

Job Description:

Responsible for applying analytical methods to improve decision-making and solve complex, data-driven business problems. Develop inventory management procurement strategies that minimize investment in inventory while achieving or exceeding service-level targets. Refine the logistics network strategy to ensure facility locations and store / customer assignments are optimized to minimize variable costs. Assist in developing carrier strategies for small package distribution services, fleet, TL, LTL carriers including route optimization modeling. Enhance and implement product profitability / cost-to-serve models to ensure the right products are being stocked in the right locations. Communicate results to management as needed. Research, design, and implement data models and innovative algorithms to analyze diverse sources of data to realize actionable results. Position is fixed location based in Framingham, MA office; however, telecommuting from a home office may also be allowed.

Job Requirements:

Requires a Masters degree (or foreign equivalent) in Industrial Engineering, Mechanical Engineering, Supply Chain, Manufacturing, Operations Research, Mathematics, Statistics, Computer Science or a directly related field plus two (2) years of experience in analytics. Experience must include:

Two (2) years of experience in the following (experience may be gained concurrently):
Experience with data mining, mathematical modeling, statistical analysis, and mathematical optimization tools, including linear programming, integer programming, mixed-integer programming, Markov decision processes, and multivariate analysis
Translating business domain knowledge into actionable insights, models, or solutions that improve performance or customer experience
Experience with Python
Working with RDBMS and NoSQL data stores on-premise and in the Cloud
Building solutions on public cloud platforms using platform services and integrating with on-premise systems
Working with data visualization and BI tools

40 hours/week, 9:00am-5:00pm, Salary: $112,000.00 - $122,000.00 /year.

To Apply: