Data Scientist

Job Title: Data Scientist

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

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The Opportunity:

Are you a curious intrinsically motivated person looking to work in an entrepreneurial IC office? If so, we are seeking an experienced Senior Data Scientist to join our innovative analytics team. The ideal candidate will have a strong background in multi-cloud environments, machine learning, and scalable data solutions, with the ability to design and implement cutting-edge analytics capabilities.

Responsibilities

• Design and implement data science frameworks across multi-cloud environments
• Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock
• Automate analytic solutions and build scalable analytics capabilities
• Collaborate with the Mission team to gather requirements across various teams
• Assess and implement new technologies and tools to enhance data capabilities
• Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality
• Lead complex data science projects from conception to implementation
• Develop real-time data processing solutions and data solutions at scale
• Integrate AI/ML with applications and systems
• Mentor junior data scientists and contribute to the overall growth of the data science team
• Communicate findings and recommendations to both technical and non-technical stakeholders

Qualifications
Required:

• Degree in Computer Science, Statistics, Mathematics, or related field
• 7+ years of experience in data science or related field, plus additional 3+ years’ experience in a complimentary function
• Strong programming skills in Python, SCALA, and/or UNIX shell scripting
• Expertise in machine learning techniques and statistical analysis
• Proficiency in SQL and NoSQL databases
• Experience with big data platforms such as Hadoop, Spark, and Kafka
• Cloud computing expertise across AWS, Azure, and other
• Experience in designing and implementing real-time data processing solutions
• Strong understanding of AI/ML applications in systems and software
• Excellent problem-solving and communication skills
• Experience with data visualization tools (e.g., Tableau, PowerBI)

Desired:

• Experience in IC
• Familiarity with drag-and-drop data tools and API integrations

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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.

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.

The proposed salary range for this position is:

$120,800 - $265,800