{"schemaVersion":"jobsearcher.job.v1","id":"ad6b625c8e95bf0ca8b003fa","url":"https://jobsearcher.com/jobs/ad6b625c8e95bf0ca8b003fa","canonicalUrl":"https://jobsearcher.com/jobs/ad6b625c8e95bf0ca8b003fa","title":"Data Scientist","description":"Title: Data Scientist\nLocation: Morton, IL\nDuration: 12+ Months\nOpen for C2C as well\nJob Description:\nThe Machine Data Insights team within Machine Analytics is seeking a talented and motivated Data Scientist to develop analyses that support product development analytics, aftermarket analytics, demand forecasting analytics, and other strategic analytics areas of focus. Our team’s mission is to understand our customers where their work gets done. Our analyses reveal machine usage insights that help our customers work safer and more productively and help our enterprise understand the market trends that shape our future business. This role will require a skillset in advanced statistical modeling and machine learning techniques as well as domain knowledge of industrial equipment.\nJob Duties:\nThe Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Client Business Unit or Service Organization, a Client Dealer, or a Client Customer.\nThe key role of this second level data scientist position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to become familiar with the company’s processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments.\nIndividuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area.\nThe job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models.\nThe Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field.\nBasic Qualifications:\nTypically requires a Bachelor’s degree, preferably in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework, and 1-2 years of professional experience utilizing quantitative analysis is required, or a Master’s or PhD degree.\nMust be comfortable working in industry standard statistics, analytics, and data visualization packages.\nMust demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.\nTop Candidates Will Also Have:\nBachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.\nExperience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.\nPractical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.\nExperience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)\nStrong technical and problem-solving skills and evidence of continuous learning in the analytics field\n2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges\nExperience with cloud technologies (AWS, Azure, Google Cloud, etc)\nStrong initiative to research and apply new methods and digital technologies to exceed customer expectations.\nGood communication, interpersonal, and collaboration skills5-7 years experience.\nPosition’s Contributions to Work Group:\nWe are looking for a dynamic, organized self-starter to join our Product Support and Logistics Division as a Senior Data Scientist in Morton, IL.\nProduct Support and Logistics Division:\nThe Client PIC Analytics Team uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.\nJob Duties/Responsibilities may include, but are not limited to:\n· Statistical modeling and analysis of dealer parts demand & inventory management\n· Improvement of existing and development of new inventory optimization techniques\n· Development, execution, and analysis of inventory management simulations\n· Analytics-based research in both independent and project team environments\n· Ad-hoc problem solving, data analysis, data processing, and data visualization\n· Developing/refining large-scale solutions to fit complex situations in multiple unique environments\n· Building familiarity with PIC system functionality and dealer service parts management practices\n· Decision-making on routine, medium-risk issues that affect project teams and internal customers\n· Effective communication of complex concepts and solutions to stakeholders & internal customers\nTypical task breakdown:\n- Python coding, transitioning sql or sas code, optimizing code, writing code\n- Problem solving\n- Research & analytical thinking\n- Working on improving/establishing Living Machine Logistics (LML) with Client team.\n- Team meetings\n- Support and running simulations.\n- Support in other projects as needed.\nEducation & Experience Required:\n- Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis.\nWill accept a Master’s degree and 2-3 years of experience, or a PhD in one of the associated fields.\nTechnical Skills\n(Required)\n- Experience with analytical tools like SAS, SQL, R, Python, Tableau, Advanced Excel, Power BI (desired).\n- Demonstrated experience working in MS Office and industry standard statistics and data visualization packages\n- 3+ years of professional experience utilizing quantitative analysis\n- Knowledge of basic statistical approaches and/or data management techniques\n(Desired)\n- Project management\nSoft Skills\n(Required)\n- Teamwork\n- Initiative\n- Interpersonal Skills\n- Effective communication (verbal and with digital media)\n- Experience interacting directly with dealers or external customers.\n- Exhibited the ability to work on increasingly more complex assignments\nHas demonstrated the ability to effectively communicate concepts using data visualization\nJob Type: Contract\nPay: $50.00 - $55.00 per hour\nSchedule:\nMonday to Friday\nExperience:\nPython: 4 years (Required)\nMicrosoft Office: 5 years (Required)\nAnalytical tools: 5 years (Required)\nWork Location: In person","company":"Dsmh","rawCompany":"dsmh","city":"Champaign","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-04T14:04:51.311Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Title: Data Scientist\nLocation: Morton, IL\nDuration: 12+ Months\nOpen for C2C as well\nJob Description:\nThe Machine Data Insights team within Machine Analytics is seeking a talented and motivated Data Scientist to develop analyses that support product development analytics, aftermarket analytics, demand forecasting analytics, and other strategic analytics areas of focus. Our team’s mission is to understand our customers where their work gets done. Our analyses reveal machine usage insights that help our customers work safer and more productively and help our enterprise understand the market trends that shape our future business. This role will require a skillset in advanced statistical modeling and machine learning techniques as well as domain knowledge of industrial equipment.\nJob Duties:\nThe Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Client Business Unit or Service Organization, a Client Dealer, or a Client Customer.\nThe key role of this second level data scientist position is to move from learning and assisting others to learning to contribute independently. The Data Scientist I is expected to become familiar with the company’s processes, products, and organization. Work is typically directed by a project or team lead who might review both methods and results. Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments.\nIndividuals in this position might expect to have several assignments allowing them to gain experience on multiple projects. They will be expected to apply theory and concept in contributing to the solution in the assigned area.\nThe job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models.\nThe Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently. They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field.\nBasic Qualifications:\nTypically requires a Bachelor’s degree, preferably in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework, and 1-2 years of professional experience utilizing quantitative analysis is required, or a Master’s or PhD degree.\nMust be comfortable working in industry standard statistics, analytics, and data visualization packages.\nMust demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.\nTop Candidates Will Also Have:\nBachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.\nExperience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.\nPractical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.\nExperience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)\nStrong technical and problem-solving skills and evidence of continuous learning in the analytics field\n2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges\nExperience with cloud technologies (AWS, Azure, Google Cloud, etc)\nStrong initiative to research and apply new methods and digital technologies to exceed customer expectations.\nGood communication, interpersonal, and collaboration skills5-7 years experience.\nPosition’s Contributions to Work Group:\nWe are looking for a dynamic, organized self-starter to join our Product Support and Logistics Division as a Senior Data Scientist in Morton, IL.\nProduct Support and Logistics Division:\nThe Client PIC Analytics Team uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.\nJob Duties/Responsibilities may include, but are not limited to:\n· Statistical modeling and analysis of dealer parts demand & inventory management\n· Improvement of existing and development of new inventory optimization techniques\n· Development, execution, and analysis of inventory management simulations\n· Analytics-based research in both independent and project team environments\n· Ad-hoc problem solving, data analysis, data processing, and data visualization\n· Developing/refining large-scale solutions to fit complex situations in multiple unique environments\n· Building familiarity with PIC system functionality and dealer service parts management practices\n· Decision-making on routine, medium-risk issues that affect project teams and internal customers\n· Effective communication of complex concepts and solutions to stakeholders & internal customers\nTypical task breakdown:\n- Python coding, transitioning sql or sas code, optimizing code, writing code\n- Problem solving\n- Research & analytical thinking\n- Working on improving/establishing Living Machine Logistics (LML) with Client team.\n- Team meetings\n- Support and running simulations.\n- Support in other projects as needed.\nEducation & Experience Required:\n- Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis.\nWill accept a Master’s degree and 2-3 years of experience, or a PhD in one of the associated fields.\nTechnical Skills\n(Required)\n- Experience with analytical tools like SAS, SQL, R, Python, Tableau, Advanced Excel, Power BI (desired).\n- Demonstrated experience working in MS Office and industry standard statistics and data visualization packages\n- 3+ years of professional experience utilizing quantitative analysis\n- Knowledge of basic statistical approaches and/or data management techniques\n(Desired)\n- Project management\nSoft Skills\n(Required)\n- Teamwork\n- Initiative\n- Interpersonal Skills\n- Effective communication (verbal and with digital media)\n- Experience interacting directly with dealers or external customers.\n- Exhibited the ability to work on increasingly more complex assignments\nHas demonstrated the ability to effectively communicate concepts using data visualization\nJob Type: Contract\nPay: $50.00 - $55.00 per hour\nSchedule:\nMonday to Friday\nExperience:\nPython: 4 years (Required)\nMicrosoft Office: 5 years (Required)\nAnalytical tools: 5 years (Required)\nWork Location: In person","datePosted":"2026-08-04T14:04:51.311Z","dateModified":"2026-08-04T14:04:51.311Z","hiringOrganization":{"@type":"Organization","name":"Dsmh","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Champaign","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ad6b625c8e95bf0ca8b003fa"},"url":"https://jobsearcher.com/jobs/ad6b625c8e95bf0ca8b003fa"}}