Data Scientist 3

Foundations: (Mathematical, Computational, Statistical)
Bachelor's Degree with 10 years of relevant experience
Associates degree with 12 years of relevant experience
Bachelor'sDegree 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 requirement, 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
Position requires a security clearance with successful Polygraph
Responsibilities

Utilize various databases and scripting languages to load, extract, and parse large amounts of data
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
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 data collection, processing, storage and analytic capabilities and limitations
Qualifications

Foundations: (Mathematical, Computational, Statistical)
Bachelor's Degree with 10 years of relevant experience
Associates degree with 12 years of relevant experience
Bachelor'sDegree 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 requirement, 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
Position requires a security clearance with successful Polygraph
Responsibilities

Data extract, transform, load
Utilize various databases and scripting languages to load, extract, and parse large amounts of data
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
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 data collection, processing, storage and analytic capabilities and limitations
We're searching for talented individuals who provide intelligence, statistical analysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us

Job Description...
Data extract, transform, load. Utilize various databases and scripting languages to load, extract, and parse large amounts of data.

The Level 3 Data Scientist shall possess the following capabilities:

Employ some combination (2 or more) of the following skill areas:
Foundations: (Mathematical, Computational, Statistical)
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 data collection, processing, storage and analytic capabilities and limitations.

Qualifications:
Bachelor's Degree with 10 years of relevant experience
Associates degree with 12 years of relevant experience
Bachelor'sDegree 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 requirement, 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 a security clearance with successful Polygraph.

iNovex is a mid-sized science and technology company dedicated to solving our customers' toughest mission challenges. Headquartered in Columbia, MD., iNovex supplies advanced cybersecurity, data science and software engineering services and products to customers in the Federal Government and commercial sectors. iNovex has won numerous awards, to include Top Workplaces by the Baltimore Sun. Across more than 20 prime contracts, iNovex is a premiere innovator for the Federal Government and Department of Defense, and our team is located across the United States

Company information
We partner with you to solve problems head-on. iNovex nurtures creation and innovation, specializing in full-spectrum solutions development to take on customers toughest challenges. From Full-Stack Software Development to Data Modeling and Integration, we build comprehensive technical government and commercial solutions. At the heart of our office is a purpose-built research lab and open, creative workspaces designed for immersive learning and rapid prototyping.*iNovex At-A-Glance* 100+ Employees on Active Contracts 7 Department of Defense Prime Contracts 22 Department of Defense Subcontracts 17 R&D Contracts 6 Fortune 500 ContractsFinancial Services | DoD | Energy | Life Sciences | Defense + Manufacturing. CMMI Level 3 Enterprise-Wide Processes appraised for SVC + DEV ISO-9001 Certified Quality Management System*Our Capabilities* Full-Stack Software Development Solutions Engineering Software Asset Management Sustainment + Enterprise IT Data Modeling + Integration Compliance
Information Technology, Management Consulting, Defense & Space, Transportation/Trucking/Railroad, Government Relations
Privately Held
Columbia, MD
Company Specialties:
Systems Engineering, Software Development, Database Design and Engineering, Data Analytics, Semantic Web, Ontology Development, Research and Development, Big Data Processing, Predictive Analytics, and Cloud Infrastructure Expertise

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