Data Scientist 2 with Security Clearance - Brooklyn Park, MD, United States - Prime Time Consulting

Description

Data Scientist 2 Prime Time Consulting provides clients with expert intelligence analysis services
Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S
Federal Government
We are actively searching for Data Scientists, located in Maryland, to support our team
We have varying levels of Data Scientist roles, depending on years of experience and education

Job Description:

• ML analytics on large sets of data

Need to know and understand PySpark within the Jupyter framework
The Level 2 Data Scientist shall possess the following capabilities: Employ some combination of the following skill areas:

Foundations:
(Mathematical, Computational, Statistical) 2

Data Processing:
(Data management and curation, data description and visualization, workflow, and reproducibility)

Modeling, Inference, and Prediction:
(Data modeling and assessment, domain-specific considerations)

• Devise strategies for extracting meaning and value from large datasets

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.

• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data

Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations

Qualifications:

• Bachelor's Degree with 3 years of relevant experience OR
• Associates degree with 5 years of relevant experience
• Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g

physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e

behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.

g
algorithms, programming, , data structures, data mining, artificial intelligence)
College-level requirements, or upper-level math courses designated as elementary or basic do not count

Note:

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering

Experience in more than one area is strongly preferred
Position requires security clearance with successful Polygraph

COMPANY PERKS

• 200 hours of PTO annually
• 6% 401k Contribution
• Competitive Health Care Options
• Short Term/Long Term/Life insurance
• Annual Training Budget We are an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, creed, sex, age, national origin, disability, Veteran status, or any other category protected by federal, state, or local laws.