Dataverse/Data Science Lead

Location: Washington, DC; 20% travel may include remote and rugged areas. U.S. citizenship and the ability to obtain a CBP Background Investigation are required; active CBP BI is preferred.

Company

X enith Solutions is a Service-Disabled Veteran-Owned Small Business providing technology solutions and business consulting support to federal, civilian, defense, and intelligence organizations.

What you will do

• Lead analytical strategy for complex operational, workflow, technology, and programmatic questions supporting DHS and CBP.
• Serve as the subject-matter expert for Microsoft Dataverse data structures, data management, analytical use cases, and integrations.
• Design and maintain Dataverse data models, tables, relationships, transformations, validation rules, business logic, and analytical pipelines.
• Develop and evaluate statistical models, machine-learning methods, predictive analytics, AI, and large-language-model solutions.
• Establish standards for reproducibility, peer review, validation, documentation, version control, data quality, and responsible AI use.
• Mentor analysts and data scientists, communicate findings to technical and nontechnical stakeholders, and coordinate with data engineering, platform, application-development, and Power Platform resources.

Requirements

• At least 9 years of progressive experience in applied data science, advanced analytics, statistical analysis, data engineering, or related analytical roles, including work in federal health, healthcare, regulated-data environments, enterprise modernization, or similarly complex mission-driven organizations.
• Experience leading complex analytical efforts from problem definition through data assessment, analysis, validation, interpretation, and communication to technical and nontechnical stakeholders.
• Strong hands-on experience with Python and SQL for analytical workflows, data transformations, statistical models, and machine-learning solutions.
• Experience designing and assessing data models, data pipelines, data-quality controls, validation logic, data lineage, authoritative data sources, and reporting-ready datasets.
• Experience with advanced analytical methods such as predictive modeling, time-series analysis, causal inference, natural-language processing, machine learning, generative AI, or large-language-model evaluation.
• Experience with modern data, analytics, and visualization platforms, including Microsoft Dataverse, Databricks, Snowflake, Power BI, Azure, AWS, Google Cloud Platform, or comparable technologies.
• Ability to clearly communicate methods, results, uncertainty, assumptions, bias, data-quality concerns, and limitations to leadership and decision-makers.
• Experience applying standards for reproducibility, peer review, documentation, version control, quality assurance, validation, and responsible use of data and AI.
• Technical leadership experience, including mentoring analysts or data scientists, leading peer reviews, developing reusable standards or assets, or managing complex analytical workstreams.
• Master’s degree or higher in statistics, data science, operations research, public health, computer science, engineering, mathematics, or another related quantitative discipline.
• U.S. citizenship and ability to obtain a CBP Background Investigation are required.

Nice to have

• Doctoral degree in a related quantitative discipline.
• Experience in healthcare, federal health, clinical analytics, public health, operations research, or similarly context-sensitive domains.
• Experience with repeatable data pipelines, model monitoring, MLOps, model lifecycle management, and production engineering collaboration.
• Experience designing, implementing, or evaluating NLP, generative AI, or large-language-model solutions, including error analysis, bias or fairness assessment, and responsible-use practices.
• Experience with Dataverse and Microsoft Power Platform, including table design, relationships, security roles, integrations, data management, reporting, and Power BI analytics.
• Advanced certifications in cloud machine learning, data science, analytics, data engineering, Databricks, Azure, AWS, Google Cloud Platform, Power Platform, or comparable technologies.
• Recognized technical leadership through publications, conference presentations, internal standards, training, mentoring, peer-review leadership, or enterprise-scale analytical initiatives.

Culture & Benefits

• Family-focused business emphasizing employee and customer care.
• Work supports federal, civilian, defense, and intelligence missions, including national-security challenges.
• Equal employment opportunity, reasonable accommodation, affirmative action, and E-Verify participation.
• 20% travel, including possible travel to remote and rugged areas.