GXM is seeking to hire a Senior Data Scientist to lead advanced data science efforts in support of innovation programs for our clients. The selected candidate will apply advanced data science techniques including Python R machine learning artificial intelligence and large language models to analyze complex datasets and deliver actionable insights that inform decision-making and program outcomes. This is a full-time exempt position that may be performed remotely with short-term travel as required by the project. This position will be based out of Fredericksburg VA with occasional travel to Dahlgren VA.
The candidate will lead data analysis activities guide analytical approaches and methodologies and collaborate with multidisciplinary teams to ensure analytical outputs are accurate relevant and aligned with program objectives. Responsibilities include assessing complex and evolving datasets identifying trends and patterns and supporting the maturation and transition of innovative technologies.
About GXM
GXM is a team of creative professionals focused on solving problems for end users. We focus on turning innovation into real-world application by working with clients who need rapid problem solving and solution development. If you are interested in working on challenging problems collaborating with passionate professionals and making a difference for end users youll fit right in at GXM.
Roles and Responsibilities
Apply data science and advanced analytics techniques to support innovation and evaluation programs
Develop and analyze taxonomies and structured data models
Design and apply ranking and scoring methodologies for project evaluation processes
Assess evaluator performance trends and consistency across evaluation cycles
Identify weak signals and emerging patterns across datasets
Analyze technology trends over multiple years and across varying submission datasets
Develop automated workflows to process and analyze large volumes of structured and unstructured data
Produce clear data-driven reports and visualizations to communicate findings and insights
Ten (10) or more years of professional experience in data science analytics applied statistics or related technical fields
Advanced experience with software integration testing and validation including analyzing and implementing test plans scripts and data pipelines
Advanced proficiency in scripting and programming languages such as Python and R including extensive use of data science machine learning and analytics libraries
Experience using programming languages and products such as Python Jupyter Notebook Pandas Numpy Requests or Antigravity.
Demonstrated expertise in data science data mining statistics machine learning or graph algorithms to support complex analytics objectives
Experience leading or owning the production and delivery of data analysis reports and briefings using SQL Microsoft Excel and advanced data visualization tools
Ability to lead collaboration efforts across multidisciplinary teams and management ensuring analytical outcomes are measurable repeatable and aligned to mission objectives
Strong working knowledge of emerging technology topics and trends with the ability to assess relevance and maturity
Demonstrated understanding of technology transition challenges including adoption barriers and operational constraints
Advanced experience applying statistics and probability theory to guide analysis validate models and ensure analytical rigor
Proven ability to design and implement automated workflows and data pipelines to process large and complex datasets
Advanced critical thinking and problem-solving skills with demonstrated ability to identify patterns synthesize insights and provide actionable recommendations
Proven proficiency with Microsoft Office and collaboration tools including Word PowerPoint Excel MS Teams SharePoint and OneDrive
Experience applying Structured Query Language (SQL) Non-Structured Query Language (NoSQL) Application Program Interface (API) Building Extract Transform and Load (ETL) pipelines Web Application Servers or Search Index.
Desired Qualifications:
Experience working with mission-driven organizations and end users within the Department of War.
Desired / Professional Certifications
One or more of the following certifications: CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A/CompTIA Security/EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera)
Equal Employment Opportunity / Legal Disclaimer
GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy) sexual orientation gender identity national origin age disability genetic information veteran status or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities which may change at any time with or without notice. Employment is at-will where permitted by law meaning either the employee or the Company may terminate employment at any time with or without cause or notice subject to applicable legal requirements.
Required Experience:
Senior IC
Veteran owned company of skilled engineers and technical experts that focus on innovative solutions to complex problems.