Data Scientist (781056)

Responsible for applying analytical methods to improve decision-making across the Staples’ Supply Chain. Use mathematical modeling, statistical analysis, and mathematical optimization to play an important role in the tactical execution of optimal or near-optimal solutions to complex decision-making problems. Develop inventory management procurement strategies that minimize Staples’ investment in inventory while achieving or exceeding service-level targets. Refine the logistics network strategy to ensure facility locations and store and 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 and cost-to-serve models to ensure the right products are being stocked in the right locations.

The position is a fixed location based in Framingham, MA office; however, telecommuting from a home office may also be allowed.

40 hours/week, 9:00am-5:00pm.

Two (2) years of experience in Analytics.

Must have two (2) years of experience in each of the following (experience may be gained concurrently):

- NodeJS, Go, Python, Java, or Scala

- 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 including Tableau, Power BI, MicroStrategy, or QlikView

- Data mining, mathematical modeling, statistical analysis, and mathematical optimization tools, including linear programming, integer programming, mixed-integer programming, Markov decision processes, and multivariate analysis

Requires a Master’s degree (or foreign equivalent) in Industrial Engineering, Mechanical Engineering, Operations Research, Mathematics, Statistics, Computer Science, Data Analytics, Data Analytics Engineering or a directly related field

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #781056 in the subject line.

Thank you.