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Statistical Forecasting Jobs In Sunset, Arkansas - 9 Job Positions Available

1 – 7 of 9 jobs
Barnhart Crane & Rigging jobs

Position Overview: The Strategic Analyst is a quantitative role within the Analytics team responsible for translating complex, multi-variable business problems into decision-grade tools, risk assessments, and forecasts. This role will apply statistical modeling and structured analytical frameworks

Barnhart Crane & Rigging  10 days ago

Sr. Raw Material Planner The Sr. Raw Material Planner serves as a strategic business partner responsible for ensuring optimal material supply while driving financial performance through data-driven analysis and cost optimization. This role combines advanced supply

International Flavors & Fragrances  18 days ago

Data Scientist 12 month contract Onsite M-Th in Lehi, UT W2 only SUMMARY The company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of

ManpowerGroup Global, Inc.  2 days ago

Senior Budget Analyst The position of Senior Budget Analyst serves as a strategic liaison with school leaders, principals and all District Chiefs and Departments to support in making the best resource allocation decisions. This position performs

Memphis-Shelby County Schools  3 days ago
Dobbs Peterbilt jobs

Purchasing Manager The Purchasing Manager is responsible for developing, executing, and enforcing procurement strategies that support the organizations operational, financial, and inventory objectives. This role leads all aspects of sourcing, negotiation, acquisition, and supplier management to

Dobbs Peterbilt  3 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform competitive cost analysis and price to win estimates for strategic and highly visible proposal efforts. - Work as an integral part of the capture and proposal team, assisting in the

MAXIMUS  15 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  5 days ago

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