Senior Data Scientist - AI/ML & Data Engineering (Hybrid)

AVER, LLC; Washington (District of Columbia); Hybrid; USD 150,000 - 190,000; Full time

Job summary

AVER, LLC is seeking a Data Scientist in Washington, DC, hybrid with 2 days in the office. The role emphasizes advanced analytics, automation, and AI/ML to modernize data handling, enable pattern discovery, and enhance operational efficiency across government mission-focused projects.

The ideal candidate has 15+ years in data science or ML, expertise with Databricks, Python, and data engineering, and is capable of translating complex data into actionable insights for diverse stakeholders.

Qualifications

• Bachelor's degree in a data-related field is required.
• Master's degree is preferred.
• 15+ years of experience in data science, analytics, or ML.
• Experience designing centralized data environments or data lakes.
• Strong Python/R skills for data processing and ML.
• Hands-on Databricks experience for data engineering and ML.

Responsibilities

• Assess and unify diverse data sources to enable secure analytics environments.
• Evaluate tools and architectures to connect disparate data types for analytics.
• Develop and deploy AI/ML models within a centralized data environment.
• Collaborate with leadership and engineers to modernize data handling and automation.
• Leverage Databricks for training, validation, and deployment of models.
• Create scalable analytics solutions for large complex datasets.

Skills

Databricks

Python

AI/ML

Data Analytics

Education

Bachelor's degree in Data Science/CS/Statistics/Applied Mathematics/IS

Master's degree preferred

Tools

Databricks

ArcGIS

Power BI

SQL

Oracle

Job description

AVER, LLC is seeking a Data Scientist in Washington, DC, hybrid with 2 days in the office. The role emphasizes advanced analytics, automation, and AI/ML to modernize data handling, enable pattern discovery, and enhance operational efficiency across government mission-focused projects.

The ideal candidate has 15+ years in data science or ML, expertise with Databricks, Python, and data engineering, and is capable of translating complex data into actionable insights for diverse stakeholders.