Senior Data Scientist — ML, Big Data & Visualization

Prescient Edge; Washington; On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Competitive salary with performance-</

Healthcare benefits

Retirement plan

Professional development opportunities

Positive work environment

Job summary

Prescient Edge in Washington, DC is seeking a Mid-Level Data Scientist to support a federal government client. The role involves data analytics, data engineering, predictive analysis, and the creation of narrative data products to enable informed analytic decisions.

The position requires strong skills in Python or R, SQL, and data visualization with Power BI and Tableau, plus experience with large data sets and ML tooling.

Qualifications

• At least 8 years of experience conducting analysis relevant to the labor category.
• Demonstrates ability to communicate complex information clearly.
• Shows ability to work independently with minimal oversight and direction.
• Experience collaborating with intelligence or government teams on analytics projects.

Responsibilities

• Conducts data analytics, data mining, predictive analysis, and creates narrative products for informed decisions.
• Retrieves information from diverse sources and builds AI tools to automate processes.
• Develops ML-based tools such as recommendation engines and predictive scoring systems.
• Creates visualizations and dashboards using Power BI and Tableau; handles data integration from multiple sources.

Skills

Data analysis

ML techniques

Data visualization

Communication

Education

Bachelor's degree in a related field

Tools

Python

R

SQL

Power BI

Tableau

Job description

Prescient Edge in Washington, DC is seeking a Mid-Level Data Scientist to support a federal government client. The role involves data analytics, data engineering, predictive analysis, and the creation of narrative data products to enable informed analytic decisions.

The position requires strong skills in Python or R, SQL, and data visualization with Power BI and Tableau, plus experience with large data sets and ML tooling.