Bachelor's degree with 10 years of experience, Master's with 8 years, Doctorate with 6 years, or Associate's with 12 years of relevant experience
Degree must be in mathematics, statistics, data science, or computer science
Certificates in Data Science may suffice with broader degrees
Experience in machine learning, data mining, statistical analysis, and software engineering
Responsibilities
Leverage statistics and programming for predictive modeling
Utilize languages like Python and R for data manipulation
Design and implement machine learning algorithms
Conduct statistical analysis including hypothesis testing and EDA
Manage data quality and perform data modeling and assessment
Benefits
Comprehensive family medical, dental, and vision coverage
Pet discount program
Paid Time Off (PTO) and 11 paid holidays
Generous maternity/paternity leave
401(k) plan with 6% company contribution
Fully employer-paid short- and long-term disability
Professional development opportunities
Flexible work schedules
Potential for paid overtime
Annual swag allowance
Full Job Description
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.
Desired Qualifications:
Working knowledge of Big Data, dataflows, and ML/AI familiarity
Working knowledge of Jupyter notebooks
Working knowledge of Spark
Responsibilities include, but are not limited to:
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
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
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.
