Data Scientist - Level 2

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 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.

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.

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.

Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.

• Active TS/SCI clearance with Polygraph
• A Bachelor’s degree and 3 years of relevant experience. An 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
• Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g.,
  
  C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

• Working knowledge of Big Data, dataflows, and ML/AI familiarity
• Working knowledge of Jupyter notebooks
• Working knowledge of Spark

• Working knowledge of statistics, programming and predictive modeling
• Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
• Design and implement machine learning, data science and advanced analytical algorithms
• Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

• 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 $ - $ USD.