Senior Data Scientist, Top Secret Clearance, Onsite DC

VISUAL SOFT, INC; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

3 weeks PTO including sick leave

2 floating holidays

8 public holidays

Health and dental insurance 50% paid

Job summary

VISUAL SOFT, INC is seeking a Senior Data Scientist for a fully onsite role in Washington, DC. A Top Secret clearance is required to handle secure, mission-critical data in a classified cloud infrastructure.

You will apply data science models to large datasets, improve data handling and retention in a classified setting, and work in an Agile environment to drive actionable insights and recommendations.

Qualifications

• Bachelor's degree in a related field.
• 10 years of experience in data science.
• Experience in an Agile/Scrum development environment.
• Excellent problem-solving, analytical, and communication skills.
• Active TOP SECRET Clearance (U.S. Citizenship Required).
• US Citizens with active TOP SECRET clearance are required for the project with a Major Prime.

Responsibilities

• Work in a hands-on Agile environment.
• Utilize big data technologies and data science model knowledge to analyze large volumes of data and produce valuable insights.
• Find and design new approaches for handling, analyzing, and using large datasets.
• Explore fundamental issues related to data handling, search, and retention.
• Solve complex data and storage problems.
• Design and implement new software coding to improve data search processes.
• Design, test, and validate data and data process quality.
• Analyze and report results with actionable recommendations.

Skills

Big data

Agile/Scrum

Data science

Python

SQL

Education

Bachelor's degree

Tools

Python

SQL

Job description

VISUAL SOFT, INC is seeking a Senior Data Scientist for a fully onsite role in Washington, DC. A Top Secret clearance is required to handle secure, mission-critical data in a classified cloud infrastructure.

You will apply data science models to large datasets, improve data handling and retention in a classified setting, and work in an Agile environment to drive actionable insights and recommendations.