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# Data Scientist

- **Company:** US Tech Solutions, Inc.
- **Location:** Maple Grove, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** A/B Testing, Amazon Web Services, Data Analysis, Data Centers, Data Files, Data Infrastructure, Data Systems, Data Management, Data Pipelines
- **Published:** July 1, 2026
- **Apply:** https://www.dice.com/job-detail/ef2299c7-5a78-475f-8bda-e73481b85bc9

## About the Role

* 10 - 14 Years with BA, 8 - 12 Years with MBA, 5 - 8 Years with Phd
 * A.I. Developmental experience is a big plus

## Description

Responsible for the initiation, design, development, execution, and implementation of data science research projects. Receives minimal technical direction/review on broad scope or complex projects. Viewed as an expert in one or more technologies.
Key Responsibilities

 * Investigates the feasibility of applying scientific principles and concepts to potential technologies, processes and products.
 * Plans and executes research to prove feasibility of concepts.
 * Participates in intellectual property evaluations and development of patent applications.
 * Consults and interacts with outside and inside experts.
 * May coordinate interdepartmental activities and research efforts.
 * Write and submit professional articles for technical journals.
 * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
 * Mine and analyze data from company databases to drive optimization and improvement of product development, clinical marketing techniques and business strategies.
 * Assess the effectiveness and accuracy of new data sources and data gathering techniques.
 * Develop custom data models and algorithms to apply to data sets.
 * Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 * Develop company A/B testing framework and test model quality.
 * Coordinate with different functional teams to implement models and monitor outcomes.
 * Develop processes and tools to monitor and analyze model performance and data accuracy.
 * Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
 * Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 * Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
 * Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
 * Work with data and analytics experts to strive for greater functionality in our data systems.


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