Motion Recruitment

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Peoria, IL, on a 12-month contract at a pay rate of "unknown." Requires a bachelor's degree in a quantitative field, strong Python skills, and experience in data analysis, machine learning, and industrial equipment design.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
304
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πŸ—“οΈ - Date
October 7, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Peoria, IL
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🧠 - Skills detailed
#Clustering #AWS (Amazon Web Services) #Azure #Data Science #Visualization #SciPy #ML (Machine Learning) #Cloud #Forecasting #Statistics #GCP (Google Cloud Platform) #Python #Pandas #Computer Science #Mathematics #NumPy #Neural Networks #Data Analysis
Role description
Hiring: Data Scientist Location: Peoria, IL Duration: 12 months contract About the Role The Machine Data Insights team within Machine Analytics is looking for a talented and motivated Data Scientist to join our growing analytics organization. You’ll work on projects that drive product development, aftermarket analytics, demand forecasting, and strategic business insights. Our mission is to understand our customers where their work gets done β€” revealing machine usage insights that help them work safer, smarter, and more productively. Basic Qualifications: β€’ Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, or related quantitative field. β€’ Professional experience in data analysis, or a Master’s/PhD degree. β€’ Strong hands-on experience with Python (NumPy, pandas, SciPy, etc.) and data visualization tools. Preferred Qualifications: β€’ Advanced degree in Data Science, Statistics, Predictive Analytics, or related fields. β€’ Experience applying statistical modeling and machine learning techniques (Clustering, Random Forests, SVM, Neural Networks, etc.). β€’ Familiarity with cloud platforms (AWS, Azure, or GCP). β€’ Experience with industrial or heavy equipment design (automotive, aerospace, construction, mining, etc.). β€’ Strong analytical mindset with curiosity to explore new technologies and methods. #DataScience #statisticalmodeling # machinelearning #Clustering #RandomForests #SVM #AWS #Azure #GCP