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Wyetech, LLC

Data Scientist 2 with Security Clearance

Wyetech, LLC, Aurora, Colorado, United States, 80012

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Data Scientist 2 with Security Clearance At Wyetech, you'll be at the center of an award‑winning corporate culture, breaking technological barriers and solving real‑world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world‑class, truly unique employee experience that is rare within our industry.

Responsibilities

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.

Translate practical mission needs and analytic questions into technical requirements and assist others with drawing appropriate conclusions from data analysis.

Effectively communicate complex technical information to non‑technical audiences.

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

Required Qualification & Security Clearance

United States Citizenship and position appropriate security clearance is required (e.g., Active TS/SCI security clearance with agency appropriate polygraph).

TS/SCI with agency appropriate poly.

Bachelor's Degree with 3 years of relevant experience or an Associate’s 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, Computer Science, or a related field. Degrees in physical/hard sciences or other science disciplines may be considered if they include advanced mathematics and/or computer science coursework.

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant Experience

Designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language such as Python).

Statistical analysis (variability, sampling error, inference, hypothesis testing, EDA, application of linear models).

Data management (cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Experience in more than one area is strongly preferred.

Benefits Package

Wyetech automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA.

Generous PTO plan of up to 200 hours annually.

Medical, vision, dental, life and AD&D benefits, short and long‑term disability, hospital indemnity, accident and critical illness insurances.

Optional identity theft and legal protection services.

Employee referral bonus eligibility up to $10,000.

Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS.

Company Environment & Perks

Monthly lunches, summer company picnic, and an annual holiday party.

Employees receive two complementary branded clothing orders annually.

Hourly pay range: $51.36 – $107.53 per hour, with rates reflecting contract, education, experience, and location.

EEO Statement Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Wyetech, LLC is committed to affirmative action and providing an inclusive and accessible hiring process. Reasonable accommodations will be provided as needed.

Contact For more information, contact Brittney Wood at 844‑WYETECH x727 or email [email protected]. We are happy to provide reasonable accommodations to ensure equal access for all candidates.

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