As aData Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
Requirements
Requirements:- 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.
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
The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.
