Data Scientist – Revenue Growth Management
Job Title: Data Scientist – Revenue Growth Management (RGM)
Work Type: Primarily Remote (Up to 25% domestic travel as needed)
Start Date: Tentative – TBD
Duration: Approx. 6 Months (Contract)
Working Hours: EST and CST hours; must be comfortable working EST hours
Benefits: Medical, Dental, Vision, and PTO available for W2 Consultants
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Join a Trusted IT Staffing Leader!
ComputerPeople Staffing has been a cornerstone in the IT staffing industry for over 50 years. As a premier vendor for one of our long-time direct clients, we offer unique access and transparency throughout the hiring process. With no layers between us and the client, we provide firsthand insight into company culture, expectations, and interview preparation.
Our client is currently hiring a Data Scientist to support a high-impact initiative focused on Revenue Growth Management (RGM) through AI-driven strategies.
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Role Overview
This role is central to leveraging artificial intelligence and data science to enhance business strategy and revenue optimization. You will partner with key business stakeholders to identify challenges and opportunities in RGM, build predictive models, and transform complex datasets into actionable business intelligence.
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Key Responsibilities

• Develop and deploy AI/ML models and algorithms supporting RGM objectives
• Analyze large, complex datasets to derive business-critical insights
• Design and implement experiments to validate model performance
• Communicate findings clearly to both technical and non-technical audiences
• Collaborate cross-functionally to drive data-informed business decisions
• Monitor industry trends and contribute to AI strategy evolution
• Perform data cleaning, preprocessing, and validation

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Qualifications

• 3–5 years of experience in data science, ideally with a focus on RGM
• Proficient in Python or R; SQL and database management experience required
• Expertise in statistical analysis, machine learning, and data visualization
• Strong background in data wrangling, mining, and model development
• Ability to translate data insights into strategic business recommendations
• Excellent communication and collaboration skills across varied teams

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Additional Notes

• Candidates will be required to complete a technical assessment prior to interviews.
• Assessment results will determine advancement to the interview stage.

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Why Work with ComputerPeople Staffing?
With over five decades of success placing IT professionals in high-value roles, we’re committed to being your trusted career partner. Our recruiters provide personalized guidance, including resume tips, cultural insight, and interview coaching — all at no cost to you.
Let us help you find your next great opportunity.
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Apply today and partner with a staffing team that truly understands your career goals.