Dataverse / Data Science Lead (CBP)

Preferred Qualifications

• Doctoral degree in statistics, data science, operations research, public health, computer science, engineering, economics, epidemiology, or a related quantitative discipline.
• Experience supporting healthcare, federal health, clinical analytics, public health, operations research, or other domains where data context, quality, and interpretation materially affect operational or programmatic decisions.
• Experience operationalizing analytics or machine-learning solutions through repeatable data pipelines, model monitoring, MLOps practices, model lifecycle management, or collaboration with production engineering and platform teams.
• Experience designing, implementing, or evaluating NLP, generative AI, or large language model solutions, including evaluation methodologies, error analysis, bias or fairness assessment, and responsible-use considerations.
• Experience working with Dataverse and the Microsoft Power Platform, including Dataverse 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.
• Evidence of recognized technical leadership through publications, conference presentations, internal analytical standards, training development, mentoring, peer-review leadership, or leadership of enterprise-scale analytical initiatives.
• Target salary range is $ $111,209 - $180,317
• Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
• US-Remote US-DC-Washington, DC