Data Scientist - Level 2

Description

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 3 years of relevant experience. Associate’s degree plus 5 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:

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)

Benefits:

ANS offers excellent compensation along with a generous benefits package to include:

• 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.