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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Warren Equipment Company - **Location:** Oklahoma City, OK, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Applications Architecture, Customer Data Management, Data Visualization, R (Programming Language), Python (Programming Language), NoSQL, Raw Data, SQL Databases, Tableau (Software), Transact-SQL, Data Storage Technologies, Information Technology, Data Analytics, Data Management - **Published:** July 7, 2026 - **Apply:** https://www.juju.com/job/00000000gemsih ## About the Role + Bachelor's Degree in Data Science, Computer Science, Business Analytics or other business-relevant discipline from a four-year college or university; OR 4 additional years of relevant data and analytics or technical experience can be substituted in lieu of a degree in addition to the minimum years of work experience. + 2 years of experience in data and analytics, technical, or business-relevant function; OR if Advanced degree in a STEM discipline, up to 2 years' experience in data and analytics, technical, or business relevant function. + Entry level to intermediate knowledge of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, NoSQL, TSQL, R, Python, or related). + Experience managing internal metrics, data, and business intelligence strategies. + Proficient in using analytical tools and instruments. + Ability to identify patterns in data. + Entry level to intermediate critical thinking and analytical skills for problem-solving. + Excellent presentation, communication and collaboration skills. + Entry level to intermediate level business acumen skills. ## Description The Data Scientist is responsible for analyzing data and conducting important research to drive business decisions based on strategic goals for the organization. The Data Scientist acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value. Work is somewhat complex in nature and performed under general supervision, requiring independent judgement., + Collaborate with cross-functional teams and key stakeholders to identify opportunities for data-driven solutions. + Conduct complex data analysis to identify and interpret trends, patterns, potential problems and opportunities to help inform and influence business decisions and drive value for the organization. + Recommend, visualize and communicate data driven solutions and insights to key stakeholders in a clear and compelling manner. + Identify data sources; collect structured and unstructured datasets and variables; build large, complex data sets to mine. + Manipulate raw data into aggregate tables for front-end usage. + Conduct data error analysis to improve models; clean and validate data for uniformity and accuracy. + Develop working knowledge of relevant data, information, and application architecture to influence decisions. + Understand key business priorities, marketing goals, customer segments, decision drivers and hypotheses, to create performance metrics. + Assist with developing, scaling and refining data modeling processes, analytical procedures, system workflows, data management etc. + Provide consultation regarding automation of data collection, data enhancement, and/or data storage processes. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)