Data Scientist 2

Data Scientist Level 2

Location: Wahiawa, HI

Clearance Required: TS/SCI with Polygraph

Employment Type: Full-Time

Salary Range: $114,000 - $127,000

Join a Growing Team at WeeghmanBriggs

WeeghmanBriggs is seeking a motivated and mission-driven Data Scientist to support critical government initiatives in Wahiawa, HI.

Founded in 2016 by Anthony Jordan, WeeghmanBriggs specializes in delivering high-impact analytical services to Government Agencies and private organizations. Since our founding, we have partnered with a range of federal entities and private corporations, earning a strong reputation as a trusted, results-driven company with an exceptional team of professionals.

As we continue to expand across current programs and upcoming contract awards, we are looking for talented individuals who want to contribute, grow, and build something meaningful alongside us.

At WeeghmanBriggs, you're more than a number, you're part of the team. We've built a culture where your opinion matters, your voice is heard, and your contributions make a direct impact on mission success. Our growth creates opportunity for advancement, leadership visibility, and long-term career development while maintaining the supportive, close-knit environment that sets us apart.

If you're ready to grow your career while supporting important national missions, we'd love to connect with you.

Job Description

We're searching for Data Scientists to contribute to an important mission within the Federal Government.

Candidates should be proficient in 2 or more of the following skill areas:

• Foundations: (Mathematical, Computational, Statistical)
• Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• 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 Government 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 Government collection, processing, storage and analytic capabilities and limitations.

What You Will Bring

• Bachelor's Degree with 3 years of relevant experience
• Associates degree with 5 years of relevant experience
• Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

CompensationBenefits

The projected salary range for this position is $132,000 - $147,000, dependent upon experience, qualifications, and contract requirements.

At WeeghmanBriggs, we believe our people are our greatest strength. We offer a competitive benefits package designed to support you both professionally and personally.

Learn more about our comprehensive benefits here: https://weeghmanandbriggs.com/summary-of-employee-benefits/

Equal Employment Opportunity

WeeghmanBriggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.