Senior Data Scientist - Databricks Genie & AI Analytics

High-Level Project Summary: Dev Technology is seeking a highly skilled Data Scientist with hands-on experience in the Databricks Data Intelligence Platform, including Databricks Genie, to help transform how business and technical users interact with enterprise data. This role will develop AI-powered analytics solutions that enable users to query data using natural language, generate insights from complex datasets, and accelerate decision-making across the organization. The ideal candidate combines strong data science and machine learning expertise with advanced knowledge of Databricks, data engineering concepts, semantic modeling, and generative AI applications.

What You’ll Be Doing: You will be part of a mission-focused delivery team that encompasses application development and analytics work, and helping to drive innovation to solve agency mission concerns.

• Design, develop, and deploy advanced analytics and machine learning solutions using Databricks
• Configure and optimize Databricks Genie spaces to enable natural language access to enterprise data
• Develop semantic models, business metadata, and governance processes that improve the accuracy of Genie-generated responses
• Develop and maintain notebooks, workflows, dashboards, and data pipelines within Databricks
• Collaborate with data engineers to ensure high-quality, governed datasets are available for Genie and AI applications
• Support development of retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities

• Bachelor’s degree and ten years of working experience in the information technology field
• 5+ years of experience in data science, machine learning, advanced analytics, or AI/ML engineering
• 2+ years of hands-on experience with Databricks
• Experience configuring and administering Databricks Genie
• Strong expertise in Python, SQL, PySpark
• Experience developing semantic layers, data models, and business-friendly metadata structures
• Experience working with structured and unstructured datasets
• Strong understanding of data governance, data quality, and metadata management
• Experience with cloud platforms such as Azure, AWS, or GCP
• Ability to communicate complex analytical concepts to non-technical stakeholders

Preferred Education, Experience, and Skills:

• Databricks certification
• Experience supporting federal agencies

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

• Generous and flexible time-off policy
• Flexible work schedules and telework options, including remote work availability for eligible projects
• Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
• Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
• 401K matching with a 5% matching contribution
• Regular team and company social events including our annual party, happy hours, fitness challenges, and more
• A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
• To learn more about working at Dev Technology, visit Working At Dev Technology Group

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.