USM
Data Scientist
USM - Chillicothe, Illinois, United States, 61523
Work at USM
Overview
- View job
Overview
Start Date: Interview Types
Skills Cloud, Power BI, Pyt.. Visa Types H1B, Green Card, US ..
Data Scientist
Chillicothe, IL
Rate: $55/hr
Client: Caterpillar
Must have Skills/Attributes: Cloud, PowerBI, Python, SQL
Required Education
Minimum: Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, or related quantitative field.
Preferred: Master's/PhD in Applied Statistics, Data Science, Business Analytics, or equivalent technical degree.
Required Technical Skills
Programming: Python (NumPy, SciPy, pandas) + SQL (1+ years).
Data Visualization: Power BI (2+ years, including DAX/M code).
Statistics & ML: Regression, hypothesis testing, ANOVA, clustering, Random Forests, SVM, or neural networks.
Cloud Platforms: AWS/Azure/Google Cloud (preferred).
Soft Skills
Strong communication (written/oral).
Problem-solving and analytical mindset.
Collaboration with stakeholders.
Job Responsibilities
Develop machine data insights (usage patterns, demand forecasting, aftermarket analytics).
Build statistical models and apply machine learning to solve business problems.
Design and maintain Power BI dashboards for parts pricing analytics.
Collaborate with teams to translate business needs into data-driven solutions.
Support high-profile projects with data visualization and analytics.
Bonus (Top Candidates)
Experience with heavy equipment (mining/construction/automotive).
Cloud-based data processing (AWS/Azure).
Publications or deployments of ML models.
Disqualifiers
No Power BI/SQL experience.
Gaps in employment without explanation.
Lack of statistical/ML coursework or projects.
Data Scientist
Chillicothe, IL
Rate: $55/hr
Client: Caterpillar
Must have Skills/Attributes: Cloud, PowerBI, Python, SQL
Required Education
Minimum: Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, or related quantitative field.
Preferred: Master's/PhD in Applied Statistics, Data Science, Business Analytics, or equivalent technical degree.
Required Technical Skills
Programming: Python (NumPy, SciPy, pandas) + SQL (1+ years).
Data Visualization: Power BI (2+ years, including DAX/M code).
Statistics & ML: Regression, hypothesis testing, ANOVA, clustering, Random Forests, SVM, or neural networks.
Cloud Platforms: AWS/Azure/Google Cloud (preferred).
Soft Skills
Strong communication (written/oral).
Problem-solving and analytical mindset.
Collaboration with stakeholders.
Job Responsibilities
Develop machine data insights (usage patterns, demand forecasting, aftermarket analytics).
Build statistical models and apply machine learning to solve business problems.
Design and maintain Power BI dashboards for parts pricing analytics.
Collaborate with teams to translate business needs into data-driven solutions.
Support high-profile projects with data visualization and analytics.
Bonus (Top Candidates)
Experience with heavy equipment (mining/construction/automotive).
Cloud-based data processing (AWS/Azure).
Publications or deployments of ML models.
Disqualifiers
No Power BI/SQL experience.
Gaps in employment without explanation.
Lack of statistical/ML coursework or projects.