Data Scientist

Posted:
9/22/2025, 2:09:23 AM

Location(s):
Virginia, United States ⋅ Sterling, Virginia, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Data Scientist

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: None

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

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The Opportunity:


CACI is seeking a passionate and motivated Entry Level Data Scientist to join our dynamic team in Sterling, VA! This is an excellent opportunity for someone looking to start their career in data science and contribute to meaningful projects.

Responsibilities:

Responsible for innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. 

  • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments

  • Work with product engineers and/or practitioners to translate concepts and prototypes into new products, services, and features and provide guidelines for large-scale implementation


Qualifications:

Required: 

  • Bachelor’s Degree in Computer Science, Statistics, Mathematics or related Engineering discipline

  • Must be able to obtain and maintain a TS/SCI with Poly clearance

  • Knowledge and practical experience using a variety of machine learning techniques, for example: linear regression, logistic regression, neural networks, support vector machines, anomaly detection, natural language processing, clustering and classification algorithms

  • Experience with Python and modern deep learning frameworks, such as Keras, TensorFlow, pyTorch, caffe

  • Strong written and verbal communication skills


Desired:

  • Experience with big data technologies

  • Knowledge of cloud platforms

  • Familiarity with version control systems

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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.

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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.

The proposed salary range for this position is:

$79,400 - $162,700

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.