Sr. Data Scientist / Machine Learning Engineer

Job Title: Sr. Data Scientist / Machine Learning Engineer

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Outside Continental US

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Responsibilities: • Employ advanced statistical methods and machine learning techniques to analyze complex datasets, uncovering deep patterns and root causes • Architect, build, and maintain robust, end-to-end data pipelines to ensure seamless data collection, integration, and storage • Design, develop, and deploy predictive algorithms and automated machine learning models into production environments to optimize network operations • Analyze large, unstructured, and undefined data sets to solve unique technical challenges where information is difficult to obtain • Lead complex, cross-functional project initiatives to address strategic business needs in cybersecurity, compliance, and network modernization • Present highly technical findings and strategic recommendations to senior and executive leadership in a clear and actionable manner • Provide expert guidance, coaching, and mentorship to technical staff across the organization to drive the adoption of data-driven practices • Conceptualize and implement innovative data products, processes, and standards that establish mid-term operational plans for the broader organization • Stay updated on the latest advancements in data engineering architecture, machine learning MLOps, and data science best practices

Qualifications:

Required: • Must possess an active TS/SCI security clearance with the ability to obtain a polygraph • Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or a related field • 10+ years of relevant work experience • Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE) • Proficient understanding of data governance and security best practices • Proven proficiency in Python, R, and SQL for advanced data manipulation, pipeline creation, and model development • Extensive hands-on experience designing and deploying scalable data architecture, databases, and automated data engineering workflows • Deep expertise in machine learning, predictive modeling, data mining techniques, and deploying models into production environments • Proven ability to conduct extensive investigations to understand the root cause of undefined problems • Experience conceptualizing and communicating with executive leadership regarding matters of significant strategic importance

Desired: • Active TS/SCI clearance with polygraph • Advanced degree (Master's or Ph.D.) in a highly quantitative or technical field • Experience mentoring and directing junior/mid-level data analysts and engineers • Familiarity working alongside Business Intelligence SMEs, preparing and formatting optimal data structures for visualization tools like Tableau • Exceptional ability to work with high latitude and independence, successfully managing multiple high-stakes projects simultaneously

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: $105,100-$231,100