Data Scientist - Level 3

San Antonio, TXDescriptionWho 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.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.RequirementsActive TS/SCI clearance with PolygraphA Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 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 ScienceA broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/universityExperience 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.Desired Qualifications:Working knowledge of Big Data, dataflows, and ML/AI familiarityWorking knowledge of Jupyter notebooksWorking knowledge of SparkResponsibilities include, but are not limited to:Working knowledge of statistics, programing and predictive modelingUse programming languages (e.g., Python, R) to manipulate and analyze large data setsDesign and implement machine learning, data science and advanced analytical algorithmsProvide 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 assessmentBenefits:ANS offers excellent compensation along with a generous benefits package to include:Family Medical, Dental (w/ adult orthodontia) and Vision coveragePet Discount ProgramPTO (Paid Time Off)Maternity/ Paternity LeaveSupplemental Military Leave Pay11 Paid Holidays401(k) plan with 6% Company ContributionGenerous Professional Development Program100% Employer paid Short- and Long-Term Disability100% Employer paid Life InsuranceSupplemental Whole Life InsuranceLucrative Referral Bonus ProgramAnnual Allowance for ANS SwagPotential for Paid OvertimeFlexible Work SchedulesApplied 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.