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Data Scientist III

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: ODAIA
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

What you…

Position: Data Scientist III

Job Location: 702 SW 8th Street Bentonville, AR 72716

Responsibilities

Problem Formulation: translate/ co‑own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and give examples to demonstrate how the method would solve the business problem. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices;

supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.

Understanding Business Context: Support the development of business cases and recommendations. Drive delivery of project activity and tasks assigned by others. Support process updates and changes. Support, under guidance, in solving business issues. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results;

recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

Data Source Identification: Understand the appropriate data set required to develop simple models by developing initial drafts. Support the identification of the most suitable source for data. Maintains awareness of data quality. Models’ compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans;

using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Analytical Modeling: Select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduce new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment.

Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.

Model Assessment and Validation: Support efforts to ensure that analytical models and techniques used can be deployed into production. Support evaluation of the analytical model. Support the scalability and sustainability of analytical models.

Code Development and Testing: Write code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach.

Data Visualization: Generate appropriate graphical representations of data and model outcomes under guidance. Support the understanding of customer requirements and design data representations for simple data sets; present to and influence the team using the appropriate data visualization frameworks and convey messages through basic business understanding.

Data Strategy: Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.

Minimum Education and Experience Required

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Analytics, Computer Science, or a related field OR Bachelor’s degree or the equivalent in Statistics, Analytics, Computer Science, or a related field plus 2 years of experience in analytics or related experience; OR 4 years of experience in analytics or…

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