Data Scientist - AI & Analytics Lead (Arlington On-site)

PlanIT Group, LLC; Reston (VA); On-site; USD 100,000 - 160,000; Full time

Job summary

PlanIT Group, LLC is seeking a Data Scientist to join our team in the DC Metro area. The role requires residing in the DC area and reporting to the Arlington, VA office twice per pay period. U.S.

citizenship is required. The candidate will independently and collaboratively prepare data, design experiments, and develop scalable ML models. You will translate complex findings into narratives, create documentation, and contribute to training and conference materials for audit and investigative

Qualifications

• Degree in Computer Science, Information Technology, Data Analytics, or related field.
• 5+ years' experience in data science, analytics, or related role.
• US Citizen able to obtain Public Trust clearance.
• Proficiency with SQL, Python, R, and JavaScript in complex data environments.
• Experience building ML models, NLP, and BI visualizations.

Responsibilities

• Prepare, clean, normalize, and validate data across varied projects.
• Design, develop, and visualize data using multiple methods for investigations.
• Develop ML models and AI solutions including NLP and predictive analytics.
• Translate technical findings into clear narratives and documentation.
• Collaborate with teams and stakeholders; support training and conferences.
• Implement ETL, data warehousing concepts, and data quality measures.
• Work with AWS/Azure services and Databricks to manage data pipelines.
• Produce BI artifacts such as dashboards and reports for clients.

Skills

SQL

Python

R

JavaScript

Machine Learning

Data Visualization

AWS

Azure

Databricks

Power BI

Education

Degree in Computer Science/IT/Data Analytics

Tools

Databricks

Power BI

Azure Data Factory

Job description

PlanIT Group, LLC is seeking a Data Scientist to join our team in the DC Metro area. The role requires residing in the DC area and reporting to the Arlington, VA office twice per pay period. U.S.

citizenship is required. The candidate will independently and collaboratively prepare data, design experiments, and develop scalable ML models. You will translate complex findings into narratives, create documentation, and contribute to training and conference materials for audit and investigative