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# Senior Data Scientist / AI Machine Learning Research Engineer

- **Company:** CACI International Inc.
- **Location:** Sarasota, FL, United States
- **Experience:** Expert
- **Salary:** $82,100.0 - $172,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Computer Programming, Computer Networks, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Linux, Statistical Hypothesis Testing, Information Theory, Python (Programming Language), Machine Learning, Tensorflow, Signal Processing, SQL Databases, Google Cloud, Cloud Platform System, Pytorch, Apache Spark, Containerization, Scikit Learn, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-ai-machine-learning-research-engineer-sarasota-fl--ca3a7223-3e05-413e-8c7a-8612c1bdde95

## About the Role

Machine Learning, Artificial Intelligence (AI), Data Science, Willing to Travel, Machine Learning, Signal Processing, Computer Networks, Algorithms, Statistics, Data Science, 1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.

 2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.

 3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.

 4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

 5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles., Required:
 * Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience.
 * Experience developing models,.
 * Strong background in machine learning, mathematics and statistics.
 * Comfortable using Linux operating systems and commonly used Linux utilities.
 * Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract
 * Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph

Desired:

 * Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics.
 * Experience applying machine learning to signal processing and/or other time-series data analysis applications.
 * Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.
 * Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
 * Active Top Secret/SCI clearance preferred.
 * What You Can Expect:

A culture of integrity.