GXM is looking to hire a Data Scientist III for innovation programs supporting our clients. This is an on-site, full-time exempt position with short-term travel to both stateside and international locations as needed to support activities as determined by the project. The Data Scientist III will serve as the data science authority within their assigned projects and programs. Their hands-on expertise will enable them to oversee the development of new models and/or optimize existing models across datasets that include, but are not limited to, text, speech, images, and video. The Data Scientist III will supervise and mentor subordinate project and Innovation Collaborative (IIC) staff.

The Data Scientist should possess expertise in Python or similar languages, machine learning/AI, and large language models or other appropriate techniques to provide data analysis of items such as:  

• Taxonomy 
• Ranking methods for use during projects evaluation process 
• Assessment of evaluator performance, trends, and consistency across the project’s evaluation process 
• Weak signals 
• Technology trends over different years 
• Varying  submission data sets 

GXM is a team of creative professionals focused on solving problems for end users. We focus on turning innovation into actual application working with clients who need rapid problem solving and solution development for their organizations. If you are interested in working on challenging problems, having fun along the way with a group of passionate professionals, and making a difference for end users, you’ll fit right in.

GXM provides a comprehensive benefits package. Our benefits include medical, dental, and vision insurance, employer-paid life insurance, short-term and long-term disability, 401(k) plan with employer matching, Flexible Spending Account, employer-paid parking, flexible Paid Time Off policy, and 11 Federal holidays.

This role requires the applicant to possess a TS/SCI clearance with CIP preferred. Applications that do not meet this requirement WILL NOT be considered.

• U.S. Citizenship required 
• TS/SCI required; CI Poly desired
• BA/BS
• Minimum 9  years experience in Data Science fields
• Ability to apply collaboration skills to work with teams and management, ensuring challenge outcomes are measurable over time. 
• Experience in producing and delivering data analysis reports with findings from SQL, Microsoft Excel, and other software using data visualization tools. 
• Experience in technology development, innovation, or other related areas of STEM. 
• Knowledge of current emerging technology topics. 
• Understanding of transition obstacles for technology adoption. 
• Experience  with statistics and probability, to guide data analysis and exploration, and check the validity of data analysis. 
• Demonstrated experience and competence in programming, to create automated workflows that process large volumes of data. 
• Experience in critical thinking, with the ability to understand data, identify patterns, and extract actionable insights. 
• Proven experience with Microsoft Office: Word, PowerPoint, Excel, MS Teams, SharePoint, and OneDrive. 

Desired Skills and Qualifications 

• Experience working within mission-driven organizations and with defense end-users. 
• Certified Analytics Professional (CAP) (or equivalent) certification.  

GXM reserves the right to forward all materials submitted with applications to third parties that may be involved in the evaluation process. An employee’s compensation and benefits are personal information. GXM will not discharge, or in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 41 CFR § 60-1.35 GXM is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or military status. 

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