AI Analytics Scientist | Databricks Genie Expert

Dev-Technology-Group

Ashburn (VA)

Hybrid

USD 120,000 - 180,000

Full time

47 hours ago
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Benefits offered by this job

Flexible time-off policy
Telework options
Tuition reimbursement
Health plans
401K matching

Job summary

Dev Technology Group is hiring a Data Scientist in Ashburn, VA, hybrid, to build AI-powered analytics on the Databricks platform. You will craft semantic data models, govern metadata, and enable natural language querying while accelerating decision-making across agency-mocused initiatives.

The role requires 3+ years in data science/AI and hands-on Databricks experience, plus strong Python/SQL skills and cloud platform familiarity.

Qualifications

  • Bachelor's degree and 3+ years of IT experience.
  • 3+ years in data science, ML, analytics, or AI/ML engineering.
  • 2+ years hands-on with Databricks.
  • Experience configuring Databricks Genie.
  • Strong Python, SQL, PySpark.
  • Experience developing semantic models and metadata structures.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Ability to communicate complex analytical concepts to non-technical stakeholders.

Responsibilities

  • Design, develop, and deploy analytics and ML solutions using Databricks.
  • Configure and optimize Databricks Genie spaces for natural language access to data.
  • Develop semantic models, business metadata, and governance processes for Genie responses.
  • Develop and maintain notebooks, workflows, dashboards, and data pipelines in Databricks.
  • Collaborate with data engineers to ensure governed datasets for Genie and AI apps.
  • Support retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities.

Skills

Python
SQL
PySpark
Stakeholder communication

Education

Bachelor's degree

Tools

Databricks Genie
Databricks Platform

Job description

Dev Technology Group is hiring a Data Scientist in Ashburn, VA, hybrid, to build AI-powered analytics on the Databricks platform. You will craft semantic data models, govern metadata, and enable natural language querying while accelerating decision-making across agency-mocused initiatives.

The role requires 3+ years in data science/AI and hands-on Databricks experience, plus strong Python/SQL skills and cloud platform familiarity.

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