_{11th March, 2025}

Data Scientists Analysts #1019032
Job Description:

• Want to help drive the future of automotive supply chain operations? Join company's Supply Chain Analytics team!
• As a Data Scientist, you'll work with a curious, proactive, and creative team that's critical to company's success.
• By leveraging advanced data analytics and the latest tools, you'll solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of our company.
• If you're passionate, knowledgeable, and highly motivated, we want you on our team!
• This is a hybrid position; however, we will consider exceptional Remote candidates.

 
Skills Required:

• Bachelor’s degree in computer or data science, engineering, statistics, operations research, or other quantitative area
• Ability to extract actionable insights from data
• Experience using SQL to extract, clean, and transform data in large, complex, nested databases
• Experience using programming languages such as Python or R in a cloud platform
• Experience doing research, analysis, data science or solution development
• Excellent written and verbal communication skills and strong intellectual curiosity

 
Skills Preferred:

• Experience in statistical analysis and modeling
• Advanced degree in a related field
• Experience in the automotive industry
• Experience in at least one area of supply chain operations, such as pricing, procurement, spend forecasting or benchmarking.
• Experience developing and delivering projects in Google Cloud Platform (GCP)

 
Experience Required:

• 1+ years of experience as a researcher, analyst, data scientist or solution developer with one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP OR equivalent college course experience

 
Experience Preferred:

• 3+ years of experience as a researcher, analyst, data scientist or solution developer
• 3+ years of experience with Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop
• 3+ years of experience in data mining, statistical analysis, modeling, optimization
• 1+ years of experience in GCP Big Query and Vertex AI
• 3+ year ML experience using python

 
Education Required:

• Bachelor’s degree in computer or data science, engineering, statistics, operations research, or other quantitative area

 
Education Preferred:

• Advanced degree in computer or data science, engineering, statistics, operations research, or other quantitative area

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek 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.
FastTek Global was named one of the Top Workplaces in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
 

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