Data Scientist 2

GRVTY; Maryland; On-site; USD 106,000 - 136,000; Full time

Benefits offered by this job

Health plan

Health Savings Account

Paid time off

Paid parental leave

401k with company match

Training and development

Award programs

Company events

Job summary

GRVTY is seeking a Data Scientist in Maryland to advance AI/ML and deep learning initiatives, combining strong mathematical and statistical foundations with practical data processing and rigorous inference. The role emphasizes clear communication of results to non-technical audiences while considering NSA/CSS data holdings.

The team is based in Annapolis Junction, MD, onsite, with a competitive USD 106,000 - 136,000 annual compensation and comprehensive benefits.

Qualifications

• Bachelor’s degree with 3 years of relevant experience or an Associate’s degree with 5 years of relevant experience.
• Experience designing and implementing machine learning, data science algorithms, and programming (Python or similar).
• Active TS/SCI with a polygraph.

Responsibilities

• Develop mathematical, computational, and statistical foundations for AI/ML and deep learning.
• Handle data processing: management, curation, visualization, workflow development, and reproducibility.
• Model, infer, and predict with domain-specific considerations.

Skills

Python

Machine Learning

Statistics

Data Science

Data Management

Communication

Software Engineering

Education

Bachelor’s Degree or Associate’s Degree

Tools

Python

PyTorch

TensorFlow

Job description

This Data Scientist role supports a team located in Maryland, with responsibilities centered on AI/ML and deep learning. The position combines mathematical and statistical foundations with practical data processing, modeling, and inference, along with the ability to communicate results to non-technical audiences while accounting for NSA/CSS data holdings.

Location

Annapolis Junction, MD (onsite)

Compensation

USD 106,000 - 136,000 per yearly

Key Responsibilities

• Foundations: Mathematical, computational, and statistical foundations.
• Data processing: Data management and curation, data description and visualization, workflow development, and reproducibility.
• Modeling, inference, and prediction: Data modeling and assessment, including domain-specific considerations.
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using mathematics, statistics, computer science, and application-specific knowledge.
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets across different states of organization, cleanliness, and structure, accounting for unique features and limitations in NSA/CSS data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements, and support others in drawing appropriate conclusions from analysis of such data.
• Communicate complex technical information to non-technical audiences.
• Make informed recommendations regarding competing technical solutions while staying aware of evolving NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

What You’ll Work With

• Python
• PyTorch
• TensorFlow

Required Qualifications

• Bachelor’s Degree with 3 years of relevant experience, or Associate’s Degree with 5 years of relevant experience.
• Related degree areas include Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or related fields such as Computer Information Systems, Engineering, or physical/hard sciences (for example physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component.
• Relevant experience in designing and implementing machine learning, data science, advanced analytical algorithms, and programming (including at least one high-level language such as Python), along with statistical analysis (including variability, sampling error, inference, hypothesis testing, EDA, and application of linear models), data management (such as data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Active TS/SCI with a polygraph

Benefits

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events

EEO and Accommodation Information

• GRVTY is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
• For reasonable accommodations, email [e-mail] or call 703-544-7930. A member of the HR team will respond within 2 business days.
• Please review “Know Your Rights: Workplace Discrimination is Illegal” at eeoc.gov.