Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Staples is business to business. You’re what binds us together.

Join our Staples World Class Supply Chain Team and deliver essential products to our customers.

What you’ll be doing:

• The Data Scientist (Supply Chain) is responsible for applying analytical methods to improve decision-making across the Staples’ Supply Chain
• Using mathematical modeling, statistical analysis, and mathematical optimization, the individual will play an important role in the tactical execution of optimal or near-optimal solutions to complex decision-making problems
• These problems will come from all parts of the Staples’ Supply Chain and will include challenges like:
  • Developing inventory management procurement strategies that minimize Staples’ investment in inventory while achieving or exceeding service-level targets
  • Refining the Staples’ 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
  • Enhancing and implementing product profitability / cost-to-serve models to ensure the right products are being stocked in the right locations

What you bring to the table:

• Apply analytical methods to solve complex, data-driven business problems that will ultimately have a direct impact on the Staple’s bottom-line
• 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
• This role will be directly or indirectly supporting all functional areas within the Staples’ Supply Chain

Qualifications :

What’s needed- Basic Qualifications

• MS in Analytical field (Industrial Engineering, Mechanical Engineering, Supply Chain, Manufacturing, Operations Research, Mathematics, Statistics, Computer Science, or other fields with focus on analytical work) plus 2 years of industry experience.
• PhD in Analytical field (Industrial Engineering, Mechanical Engineering, Supply Chain, Manufacturing, Operations Research, Mathematics, Statistics, Computer Science, or other fields with focus on analytical work)
• Strong understanding of business domain
• 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
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and nontechnical customers
• Demonstrated analytical thinking & strategic problem - solving capabilities

What’s needed- Preferred Qualifications

• Programming Skills developing applications in NodeJS, Go, Python, Java, or Scala
• Knowledge and experience using major statistical analysis tools such as R, Matlab, or SAS
• Experience working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g.: SQL Server, PostgreSQL, MongoDB, Cassandra, Azure Cosmos DB, DynamoDB, Redshift, Teradata, Oracle, Snowflake)
• Experience building solutions on public cloud platforms (e.g.: Azure, AWS, GCP, Snowflake) using platform services and integrating with various on-premise systems
• Experience working with data visualization and BI tools such as Tableau, Power BI, MicroStrategy, or QlikView

We Offer:

• Salary
• Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits