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Applied Network Solutions, Inc.

Data Scientist - Level 3

Applied Network Solutions, Inc., Aurora, Colorado, United States, 80012

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Who we are At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 25 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.

What We Do Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation’s toughest challenges and our ability to exceed expectations.

Why ANS At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let’s ensure today is safe and tomorrow is smarter.

Requirements

Active TS/SCI clearance with Polygraph

A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science

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.

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.

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.

Employ some combination (2 or more) of the following 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)

Benefits

Family Medical, Dental (w/ adult orthodontia) and Vision coverage

Pet Discount Program

PTO (Paid Time Off)

Maternity/ Paternity Leave

Supplemental Military Leave Pay

11 Paid Holidays

401(k) plan with 6% Company Contribution

Generous Professional Development Program

100% Employer paid Short‑and‑Long‑Term Disability

100% Employer paid Life Insurance

Supplemental Whole Life Insurance

Lucrative Referral Bonus Program

Annual Allowance for ANS Swag

Potential for Paid Overtime

Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.

As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position.

The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.

Seniority Level Mid‑Senior level

Employment Type Full‑time

Job Function Engineering and Information Technology

Industries Computer and Network Security

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