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MCS Data Scientist

Cambridge, MA
Top 3 Must Have Skill Sets:
Front-end dev: Javascript, HTML, CSS
Back-end dev: Node.js, PHP, Python
Web architecture and database management systems
Git and Github and familiarity with DevOps

***Looking for Web Dev over Data science***
Day to Day Responsibilities: 
  • Leverage large datasets to conduct end-to end supply chain analytics that include data gathering and requirements specifications, processing, analytics, and presentations
  • Understand and capture business/functional requirements, recommend metrics
  • Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to deliver value by developing novel, practical, scientific data-driven solutions to meet business needs
  • Synthesize input into prioritized feature list and build User Stories (requirements) for each feature
  • Build a wide range of data and analytics solutions, from descriptive to prescriptive, using advanced statistical and machine learning models
  • Prototype, build, and customize analytical applications to enable in-depth analysis
  • Define and create automated interactive dashboards and tools that are turning data into business insights
  • Document data relations, data flows and business logics behind the supply chain digitalization projects
  • Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs
Interview Process:
1. Behavioral interview via Webex
2. Technical interview via Webex (specific coding questions)
3. Presentation to team (10-15)

PAY RATE : $62-$70/hr on W2

"This posting is for Contingent Worker, not an FTE"

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