About the job
About the job
- 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 other 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 customer data holdings
- Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other 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 constantly shifting collection, processing, storage and analytic capabilities and limitations
- US Citizens Only
- Active TS/SCI Clearance andPolygraphrequired
- Information Assurance Certification may be required
- Minimum of ten (10)years of relevant experience and a Bachelor’s degree or twelve (12) years of relevant experience and an Associate’s degree required.
- 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
- Relevant experience must be two of more of the following:
- 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
- Software engineering
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.
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About The Company
Our Mission:
Our Mission is to enrich our customers’ missions by applying our multi-disciplined analysts, mission-focused software developers, and machine learning data scientists to solve and support our customers’ most difficult challenges. Our dedication to our employees reinforces our commitment to the customers’ mission success and National Security. Our ability to effectively collaborate and innovate, reinforces our partnership with the customer.
Our Core Competencies:
We provide technical expertise to meet customer mission challenges in:
* Offensive and Defensive Cyber Services
* Data Science and Decision-Making Analytics
* National Security Cyber Training
* Intelligence Analysis
* Intelligence Solutions Engineering
Our Employees:
Our personnel are cross-functional subject matter experts (SMEs) who understand the development process and serve as liaisons between developers and the operational community to enrich technologies with in-depth domain understanding and innovative perspectives. Our program managers are PMI® certified who possess strong technical and mission backgrounds.
We are the Small Business Employer of Choice! Check out our awards:
Best Places To Work Winner!
2022 - National Top Workplace Award Winner
2020 - 2022 - Military Times Best for Vets Employer
2012 - 2022 – Baltimore Sun Top Work Places
2019 - 2021 - Inc Magazine - Top Work Place
2016 - 2022 - Washington Post Top Work Places
2016 - ABA – Silver Stevie Winner – Veteran-Owned Business of the Year
2011 - 2015 – Baltimore Business Journal - Best Places to Work
2014 - Disabled American Veterans (DAV) National Small Business of the Year
2013 - Washingtonian Magazine 50 Greatest Places to Work
2012 - Chesapeake Regional Tech Council - Best Places to Work
Join Our Team
http://www.intelligenesisllc.com/ig-careers/
Like us on Facebook: www.facebook.com/intelligenesisllc
Follow us on Twitter: @IntelliGenesis
Maryland, United States (On-Site)
Maryland, United States (On-Site)
Texas, United States (On-Site)
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