Data Scientist

1 year contract for a Data Scientist role with a leading client in Peoria/Mossville, IL OR Dallas, TX. APPLY NOW! Title: Data Scientist Location: Peoria, IL OR Dallas, TX Workplace type: 100% onsite (M-F, 40 hour work week) Type: Contract Pay: $42-44.55 MAX/hour on w2 IV type: 1 round Length: 12 months- possibility to extend Screenings: full panel drug and background once hired +optional benefits and 401K Must haves: • Min Years of experience: 3-5 • Degree requirement: Bachelors degree • Communicates effectively to develop standard procedures • Applies problem-solving techniques across diverse procurement scenarios • Analyzes procurement data to generate actionable insights • Proficient in PowerBI, PROcure, and tools like CICT, Lognet, MRC, PO Inquiry, AoS • Expertise in Snowflake and data mining (Desired) • Prior experience in Procurement • Familiarity with monthly reporting processes, including ABP (Annual Business Plan) and RBM (Rolling Business Management) • Demonstrated expertise in cost savings initiatives • Machine Learning and AI JOB PURPOSE: The Maintenance Components & Hydraulics team within Resource Industries Supply Management is seeking a talented and motivated Data Scientist to develop analyses that support the strategic sourcing activities of $2.6B in client spend. Our team’s mission is to cultivate a culture of collaboration, uphold the highest standards of compliance and integrity, and develop a robust supply base that drives customer success and protects client's competitive edge. Our analyses reveal opportunities to improve our strategic sourcing to deliver quality, velocity and sustainable value creation. This role will require a skillset in data analytics and strong communication. JOB DUTIES: The Data Scientist, you will participate on cross-functional project teams to provide analytics and reporting used to make sourcing strategy decisions. The 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 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. Individuals 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. The 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. The Data Scientist 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; and has basic knowledge of client name removed Inc., and its products and services. Basic Qualifications: • Typically requires a Bachelor’s degree, preferably in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework, and 3-5 years of professional experience utilizing quantitative analysis is required, or a Master’s degree. • Must be comfortable working in industry standard statistics, analytics, and data visualization packages including PowerBI. • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Top Candidates Will Also Have: • Bachelors or Masters 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. • Experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. • Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks. • Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc) • Strong technical and problem-solving skills and evidence of continuous learning in the analytics field • Experience with cloud technologies (AWS, Azure, Google Cloud, etc) • Strong initiative to research and apply new methods and digital technologies to exceed customer expectations. • Good communication, interpersonal, and collaboration skills 3-5 years experience.