Data Scientist - Level 2

Applied Network Solutions Inc•Annapolis Junction, MD

8d•$100,000 - $165,000

About The Position

As a Data 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. 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.

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.

Nice To Haves

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

Responsibilities

Design and execute machine learning models and applications
Document analytic results
Create visualizations for client stakeholders
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