Staples Associate Data Scientist in Framingham, Massachusetts
Staples is looking for a Data Scientist to join an established technology team to help drive technical innovation within the Staples Digital Solutions Print and Marketing division. The expectations of the prospective candidate will be the modeling, analysis, development, testing, implementation, and support of Data Science applications. This energetic individual will partner with both technical and business teams on multiple initiatives and collaborate to deliver new features and enhancements.
Develop in-depth knowledge of several Staples business processes and systems environment
Work closely with key business partners to understand critical, complex, data-driven business and operations challenges, and then apply analytical methods to solve them – resulting in a significant, positive impact on the Staples’ bottom-line.
Research, design, and implement data models and innovative algorithms to analyze diverse sources of data to realize actionable results
Ability to work with software engineers as well as business partners to actively participate problem solving.
Create or modify complex programs, modules, routines, scripts and data objects from a detailed design where efficiency, performance and reliability are critical
Work with and advise both business and technology teams (internal and external) on how best to implement desired predictive models.
Ensure that technical solutions follow best practices, are reliable, are easily maintainable and are scalable under sustained load
Participate in design and code reviews
Collaborate to identify, isolate and resolve malfunctions related to software
Conduct knowledge transition on solutions to the designated application support team(s)
Create and evolve application documentation as required
Operate in compliance with IT standards, policies, procedures, and best practices
BS in Computer Science, Statistics, Operations Research, Applied Mathematics, Applied Physics or related field
5+ years of Hands-on experience with mathematical modeling, and mathematical optimization techniques and technologies as well as advanced machine learning, data mining, statistical inference
Hands-on experience with querying databases to drive required analysis independently and swiftly
Excellent ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical stakeholders.
Strong experience with modeling in R, Python 3.x Keen attention to detail, and ability to dive deep & analyze potential direction in absence of all required data.
Strong analytical abilities and a strong intellectual curiosity
Strong verbal and written communication skills with enrichment of problem solving that happens during back & forth communication.
Strong time management and organization skills
Ability to balance multiple priorities at a given time
Must be team oriented and have a customer service mindset Self-driven, able to work independently or within a team setting
Results oriented and adaptable
MS is Computer Science, Statistics, Operations Research, Applied Mathematics, Applied Physics or related field
Experience developing large scale systems using parallel and distributed computing
Experience working with development toolsets such as Spark, Hadoop, Python, C++, Java, R, H2O, Shiny, Docker, MYSQL, Teradata, NOSQL, etc.
Experience using deterministic and non-deterministic mathematical programming, constraint satisfaction, advanced supervised and unsupervised learning techniques, natural language processing, markov decision process, and control theory
Experience with various areas of the supply chain such as customer order, inventory, warehouse, and transportation management
Experience with financial modeling
Experience with any of the following: Angular, Agile/Scrum, open source technologies, responsive application design, continuous integration using Jenkins
Exposure to working in a retail, manufacturing, or print solutions
Experience working directly with non-IT business partners