Data Scientist / Data Analytics Scientist (VIG-DS-01.080626)

Capitalsolutionsgroup; Fort Meade (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

CSG, Inc. is seeking Data Scientist professionals at multiple LCAT levels to apply quantitative analysis and software techniques to large, complex datasets in a defense-related context.

The role involves translating mission questions into rigorous data-driven methods and communicating results to both technical and non-technical audiences. The position requires a strong foundation in mathematics and statistics, data processing, and modeling, with experience in handling datasets with varying

Qualifications

• Foundation knowledge in mathematics, computation, statistics.
• Data management, description, and visualization.
• Data modeling and domain-specific considerations.

Responsibilities

• Use data and methods to derive defensible conclusions from large datasets.
• Translate mission needs into technical requirements for analysis.
• Communicate complex results to non-technical stakeholders.

Skills

Foundations

Data Processing

Modeling & Inference

Education

Bachelor’s degree + 3 years relevant experience

Associates Degree + 5 years relevant experience

Bachelor’s degree + 10 years relevant experience

Associates Degree + 12 years relevant experience

Bachelor’s degree + 15 years relevant experience

Associates Degree + 17 years relevant experience

Job description

SECURITY CLEARANCE: T S/SCI with both Polygraphs is required

POSITION: Data Scientist (multiple LCAT levels cited below)

REQUISITION: VIG-DS-01.080626

LOCATION: Ft. Meade, Maryland

JOB DESCRIPTION:

Use data, statistical/mathematical / computer science, reasoning, programming, and knowledge of the business or mission area to reach defensible conclusions. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer-base subset data holdings.

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Effectively communicate complex technical information to non-technical audiences.

Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting customer-bases collection, processing, storage and analytic capabilities and limitations.

REQUIRED:

Employ some combination (2 or more) of the following skill areas:

1. Foundations: (Mathematical, Computational, Statistical)

2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)

3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)

(U//FOUO) Devise strategies for extracting meaning and value from large datasets.

LCAT QUALIFICATIONS:

CERTIFICATION: n/a

EDUCATION + EXPERIENCE LEVEL

Data Scientist, Level 2

• Bachelor’s degree + 3 years relevant experience, OR
• Associates Degree + 5 years relevant experience

Data Scientist, Level 3

• Bachelor’s degree + 10 years of relevant experience, OR
• Associates Degree + 12 years relevant experience

Data Scientist, Level 4

• Bachelor’s degree + 15 years of relevant experience, OR
• Associates Degree + 17 years relevant experience

CSG, Inc. is an Equal Opportunity / Affi… Mandates: mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatorymandatory