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Data Governance & Metrics - Interface Analyst & Data Science Expert

Who You Are:

Minimum Qualifications:



3 to  5 years’ experience, including:


  • BA/BS degree in business administration, engineering, computer science, IT, or related area or equivalent work experience.
  • Strong understanding of master data within an ERP and its distribution to connected systems for downstream process consumption.
  • Demonstrated ability to understand global, strategic objectives and identify key priorities
  • Established proficiency in Data Management Systems (MDG-M, SAP WM, Oracle, PIM’s, etc.)
  • Application of quantitative techniques to challenging, real-world problems
  • Strong analytical, comprehension, decision making and problem- solving skills, as well as strong verbal and written communication skills in global environment
  • Willingness to take initiative and responsibility, work independently and master new tasks quickly
  • Ability to prioritize tasks, work on multiple assignments and manage rapidly changing assignments in a team environment
  • Solid attention to detail and Project Management skills
  • Ability to liaison, influence, collaborates and communicates with all levels of employees and management
  • Ability to work as a business partner to identify new and innovative ways to service our customers
  • Ability to troubleshoot and provide solutions for issues of a moderate to complex scope
  • Strong Microsoft Excel, Access and Relational Database Experience
  • Willingness to travel 10 - 25% domestic and internationally, with ability to travel on short notice
  • Excellent understanding of machine learning toolkits (e.g. TensorFlow) techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
    Preferred Qualifications: 
    Excellence in at least one of these is highly desirable.
  • Great communication skills
  • Experience with BI / data visualization tools (e.g QlikSense, Palantir, Aera/FusionOps, etc.)
  • Proficiency in using query languages such as SQL and scripting/programming languages like Python or JavaScript
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB 
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills – programming  experience is a plus
  • Data-oriented personality
  • A passionate individual who knows how to stay updated with the latest advancements in the technology


Job Requisition ID:  194210
Location:  Burlington
Career Level:  C - Professional (1-3 years)
Working time model:  full-time

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

Nearest Major Market: Boston

Job Segment: Database, ERP, Oracle, SAP, Computer Science, Technology

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