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Analytics Scientist 48664 (SV1) in Dearborn, MI at Fast Switch

Date Posted: 1/17/2019

Job Snapshot

  • Employee Type:
  • Location:
    Dearborn, MI
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description

Job ID: 48664

Analytics Scientist

Analytics Scientist Position Description: 

  • Support product and technology strategy activities within GDIA by developing mathematical and analytical models. 
  • Understand various industry problems and translate into mathematical problems. 
  • Understand complex mathematical models and implement solution algorithms. 
  • Perform data mining/analysis and provide optimization/analytical modeling supports.
  • Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences. 

Basic Qualifications: 

  • Experience in data mining structured and unstructured data. 
  • Experience in linear/non-linear mathematical programming, analytics modeling, and/or machine learning. 
  • Experience with Python, Java, C# or C/C++. 
  • Experience with Angular, R-Shiny, or HTML/CSS/JavaScript. 
  • Strong oral, written and interpersonal communication skills.

Preferred Qualifications: 

  • 2+ years of experience in developing complex optimization and analytical models.
  • 2+ years of experience in developing software applications with Java or C#. 
  • Ability to drive results and handle multiple projects within a given timeframe. 
  • Well-organized, independent and ready to work with minimal supervision. 
  • Inquisitive, proactive, and interested in learning new tools and techniques.

Skills Required:

  • Optimization algorithms
  • Linear and Non-linear programming
  • Analytics Modeling
  • Python
  • Java
  • C#

Skills Preferred:

  • Angular
  • HTML
  • CSS
  • JavaScript

Experience Required:

  • Data mining
  • Machine Learning
  • Mathematical programming

Education Required:
MS in Computer Science, Industrial Engineering, Operations Research, Mathematics, Statistics, Econometrics, or other related fields.

Education Preferred:
Prefer Ph.D. in Computer Science, Industrial Engineering, Operations Research, Mathematics, Statistics, Econometrics, or other related fields

Fast Switch, Ltd., delivering the Right Talent at the Right Time for over 21 years. We are an IT Consulting company with offices in Detroit, MI, Columbus, OH, Cleveland, OH, Cincinnati, OH, New York, Hartford, CT, Massachusetts, Minneapolis, MN, Los Angeles, CA, San Francisco, CA, and Tucson, AZ. We’re doing business in almost half the states in the union.

We're a financially strong, privately-held company that is 100% consultant and client focused. You are our most important asset!          

We've differentiated ourselves by being creative, flexible, and fast. Throw out everything you've heard, seen, or felt about every other IT Consulting company.

We're different. Our consultants and clients tell us so, and it's our great people who make the difference! We do unique things, and we do them for Fortune 10 companies, Inc. 500 companies, and technology start-ups. We also have a strong belief in giving back to the communities we serve.

Our benefits are second to none and thanks to our flexible benefits options you can choose just the benefits that you need or want, options include:

• Medical and Dental (Fast Switch pays majority of the medical program)

• Vision

• Personal Time Off (PTO) Program

• Long Term Disability (100% paid)

• Life Insurance (100% paid)

• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.

In 2013, 2014, 2015, 2016 and 2017, Fast Switch was named one of the Top Work Places in Michigan by the Detroit Free Press and one of the Best Staffing Firms in 2016 and 2017. We have won the Columbus Business First “Fast 50” award 9 times in 12 years because of our strong growth which translates into more and better opportunities for our consulting staff members.

To view all of our open positions, please go to: and at the bottom of the page click Job Opportunities, or get there directly at:

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