Data Scientist - Level 3

Applied Network Solutions, Inc.; San Antonio (TX); On-site; USD 100,000 - 165,000; Full time

Benefits offered by this job

Family Medical, Dental & Vision

Paid Time Off

401(k) with company match

Professional development

Flexible work schedules

Job summary

Applied Network Solutions, Inc. in San Antonio, TX is seeking a Data Scientist to join our cybersecurity and networking team. You will design, develop, test and deploy advanced analytics and machine learning solutions.

The ideal candidate holds a mathematics or CS degree, TS/SCI clearance, and hands-on experience with Python/R, ML, statistics, and large data sets. This role offers growth, competitive pay, and a range of benefits.

Qualifications

• Active TS/SCI clearance with Polygraph is required.
• Bachelor's degree in Mathematics, Applied Mathematics, Statistics, CS or related field.
• Master's degree in Data Science is preferred; other degrees may be considered with relevant certificates.
• Experience in designing and implementing ML, data science, and advanced analytical algorithms.

Responsibilities

• Plan, analyze, design, develop, test, secure, integrate, implement, operate and maintain custom ANS solutions.
• Provide statistical analysis, data modeling, and ML for multiple domain areas.
• Work with Python/R to manipulate large data sets and build predictive models.

Skills

TS/SCI clearance

Python

R

Machine Learning

Statistics

Data science

Education

Bachelor's degree in Mathematics/CS

Master's degree in Data Science (preferred)

Tools

Jupyter notebooks

Spark

Big Data tooling

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

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 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.

ANS is seeking a Data Scientist to join our team in San Antonio, TX.

Requirements

• Active TS/SCI clearance with Polygraph
• A 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 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 statistics, programing 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

Desired Qualifications

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

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.