About this opportunity
CALIBRE Systems Inc lists this Data Scientist opportunity in alexandria, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Data Scientist
5476
CALIBRE Systems, Inc, an Employee-Owned mission focused solutions and digital transformation company, is seeking an experienced Data Scientist to work with a data team driving advanced analytics initiatives used in the Army cost analysis and budgeting processes. This Data Scientist will assist with overseeing the development, implementation, and execution of project data plans, ensure scope and schedule are established for projects and assignments, and assist with the operating plan and resource allocation for the group, including prioritization and development deployments. This is a hands-on technical role where you will be responsible for delivering end-to-end analytics, from understanding the business challenges to presenting insights to wide-ranging business and technical audiences. Candidate will need to have experience with Army ERP systems and participate in data collection, modeling, analysis and product generation. Organize and translate data into useful automated information. Conduct analyses including defining parameters of requested data output and analysis. Assist in preparation of reports, briefings, and documentation deliverables.
The ideal candidate should be able to learn and provide input on how to create new sources of data-driven innovation through technology and analytics that would add value to our customers. They will explore new ways to analyze data using statistical methods, machine learning and predictive models. They will have experience of working with large data and data lakes and assist with identification and traceability of data and mapping.
As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with innovative new techniques in data visualization, machine learning, statistics, and operations research in a cloud environment. The ideal candidate must be passionate about helping others solve problems, gain insights, and make decisions using data. They will display deep technical knowledge and be able to communicate it to a wide-ranging audience.
Must have or be able to obtain and maintain a DoD Secret security clearance (U.S. Citizenship required)
Must have or be able to obtain a Security + certification within the first 90 days of employment
Must have or be able to obtain av AWS data engineer or machine learning certification withing the first 6 months of employment
MS/ BS in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted) MS is preferred.
Minimum of 5 years professional work experience providing data analytics services. CDFM, CCEA, DAWIA or other relevant certification preferred.
Must be a lifelong learner, willing to share and grow the knowledge of those around them
Strong qualitative and quantitative analysis skills
Ability to provide technical leadership and broad subject matter expertise on cutting-edge computational, quantitative, and algorithmic techniques applicable to data science
Ability to work independently and as part of a team on a large fast paced project
Experience curating relationships and disseminating work between cross-functional teams of data scientists, data engineers and application developers
Ability to oversee the entire lifecycle of projects, including scoping, design, modeling, validation, deployment
Experience building predictive and prescriptive models and simulations
Experience with data cleaning, model testing, results presentation and documentation
Experience with data visualization tools such as Tableau, QLIK or Quicksight
Experience with AI tools or interest in learning
Ability to evaluate open-source and vendor-based tools, applications, platforms, frameworks and programming languages.
Exceptional communications skills with ability to present to technical and business audiences, including executive-level customers
Experience with Army ERP systems such as VANTAGE, GFEBS, G-Army, or other transitioning ERP systems
Advanced ability in one or more programming languages for data analysis such as R or PythonPreferred
Experience with data visualization tools such as Tableau, QLIK or Quicksight
Experience with Machine Learning
Experience in budgeting or cost-analysis
Knowledge and understanding of the Army's PPBE process
Experience with Army Acquisition costing and enterprise data
Alexandria, Virginia, United States
Full-Time/Regular
Equal employment opportunity, including veterans and individuals with disabilities.
PI
#J-18808-Ljbffr
Worksite address
alexandria, VA, 22350, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.