Data Scientist, Senior

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
90K-190K Annually
Senior level
Information Technology • Consulting • Defense
The Role
Lead end-to-end data lifecycle work for DoD modeling and simulation programs: ingest and process large structured and unstructured datasets, build ML/AI and generative AI workflows, integrate AI with M&S tools, develop analytics pipelines and visualizations, provide technical leadership and domain expertise for simulation environments.
Summary Generated by Built In
Job Title: Data Scientist, Senior

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity:

CACI is currently seeking a  Data Scientist II in support of a program whose initiative is aimed at combating evolving and emerging threats, supporting related exploitation and replication activities, and advancing operational rehearsal, exercise, wargaming, and counter system development. Additionally, we are focusing on integration and experimentation, including Modeling and Simulation.
 

By joining this team, you will have a unique opportunity to contribute to the U.S. and our allies’ ability to develop and apply models and simulations throughout the lifecycle of military and commercial technologies and systems. Your work will help ensure Warfighter readiness and the realization of future capabilities.
 

Responsibilities:

  • Lead Advanced Data Analysis & Management: Execute the full data lifecycle, including acquiring, processing, and interpreting large, disparate datasets (structured, unstructured, and natural language) to extract actionable insights for DoD modeling and simulation programs
  • AI and Simulation Integration: Design and develop data-driven solutions for M&S and AI systems, including creating and refining generative AI analysis workflows and ensuring data integrity for complex simulations
  • Custom Analytics & Tool Development: Build custom analytical pipelines, models, and tooling to meet advanced and emerging data requirements, particularly with high-volume, real-time data feeds
  • Technical Leadership: Execute and lead project tasks, manage technical complexity, conduct code reviews, and ensure the quality of analytical output across a team or mission set
  • DoD M&S Domain Expertise: Apply deep domain knowledge to military operations and exercises, with familiarity with DoD M&S environments and toolsets (e.g., JLVC, JTLS-GO) to translate data into meaningful analytical conclusions
  • Big Data Ecosystem Management: Support data ecosystem development capable of handling big data, large complex data sets, and manage data storage archives of recorded test events, training activities, and exercises
  • AI/ML Development: Provide advanced data science and data analytics tools, software, algorithm, and analysis support including application of artificial intelligence (AI), machine learning (ML), and digital engineering to simulation data sets 

Qualifications:

Required: 

  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field 

  • Minimum 8 year of Experience or 12 years relevant experience in lieu of degree.

  • Advanced proficiency in programming languages such as Python, R, or similar

  • Experience with big data platforms and technologies

  • Knowledge of machine learning frameworks and deep learning architectures

  • Expertise in data visualization and analytics tools

  • Experience with natural language processing and generative AI workflows 

  • Active Secret Clearance

Desired:

  • Masters or Ph.D. in related field is highly valued
  • Experience with DoD Modeling & Simulation environments (JLVC, JTLS-GO, WARSIM, etc.) 
  • Familiarity with Live, Virtual, Constructive (LVC) simulation systems
  • Experience with reinforcement learning and neural network-based approaches
  • Knowledge of DoD operational requirements and INDOPACOM operations
  • Experience with cloud computing platforms (AWS, Azure, Google Cloud)
  • Experience supporting large-scale Joint and Coalition exercises
  • Published research or patents in AI/ML or data science domains

-

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.

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.

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:

$90,300-$189,600

CACI 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.

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field
  • Minimum 8 years of experience (or 12 years relevant experience in lieu of degree)
  • Advanced proficiency in Python or R (or similar programming languages)
  • Experience with big data platforms and technologies
  • Knowledge of machine learning frameworks and deep learning architectures
  • Expertise in data visualization and analytics tools
  • Experience with natural language processing and generative AI workflows
  • Active Secret Clearance
  • Familiarity with DoD Modeling & Simulation environments (JLVC, JTLS-GO, WARSIM) and LVC systems
  • Experience with cloud computing platforms (AWS, Azure, Google Cloud)
  • Masters or Ph.D. in related field
  • Experience with reinforcement learning and neural network-based approaches
  • Experience supporting large-scale Joint and Coalition exercises
  • Published research or patents in AI/ML or data science domains

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
HQ: Reston, VA
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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