Seeking a Data Scientist to support model and algorithm development. The Data Scientist is responsible for identifying, acquiring, transforming and analyzing unique data to assess system performance and inform decision making. They will support data integration and modeling; asking and developing operations, planning and assessment questions; interpreting data made available by stakeholders and data owners; and supporting development teams building tools to alert, analyze and nominate alternatives.
Responsibilities:
•Provide statistical and mathematical support to analyze and interpret a wide range of data.
•Interpret and analyze information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, models and algorithms as well as proven techniques from experience or research methods.
•Conduct software planning tool Architecture and Engineering Analysis to ensure integration of existing and future models and algorithms are in compliance with policies, architecture and resources.
•Document, analyze, and (as needed) enhance data conditioning processes that translate raw data inputs into decision-quality data products appropriate to the intended audience and software.
•Design, develop, test, and communicate data analytics products (including data, applications and visualizations) from documented, repeatable methods, based in sound data engineering principles and applicable standards.
•Leverage wide-ranging data sources (e.g., web traffic, customer requests for information, ingested data, stated and implied requirements, production databases, human capital data, etc.) to develop and communicate understanding of phenomena and trends to support alternatives, models and assessments.
•Provide insights through repeatable, transparent analysis that will be used to inform decisions and software nominations
•Assist in the construction of data sets and data views for use by the software development teams to utilize and communicate complex data sets meaningfully and appropriately.
•Assist with implementation of statistical analysis process improvements and incorporation of statistical research into new analytical products and methods.
•Generate and maintain reports, schematics and other documentation sufficient to maintain awareness of data ingest, conditioning and visualization processes and modify them as required.
Provide continuous feedback and recommendations to the Product Owner.
•Prepare reports, briefings, documents and evaluation of results as required.
Participate in SAFe Agile processes and be a contributing member of the cross functional and development team.
Seasoned technical individual contributor
•Works independently with limited supervision
•May manage projects / processes
Qualifications:
Required:
- Technical degree in Applied mathematics, physics, data science.
- 2-4 years experience developing models and algorithms in support of operational software
Desired:
- TS/SCI clearance with CI Poly
- Master’s degree in statistics, applied mathematics or physics
- 2-4 years of experience in model development
- Experience working with RF data, systems and software
________________________________________________________________________________________
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Your potential is limitless. So is ours.
Learn more about CACI here.
________________________________________________________________________________________
Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$69,100-$141,500CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
