Data Scientists II - Maryland Line, United States - Hire Heroes USA

Description

Our client is looking for Data Scientists to join their growing team. As a Data Scientist on their team, you will be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.

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

• 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

• Family Medical, Dental (w/ adult orthodontia) and Vision coverage
• Pet Insurance
• 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