Data Scientist

What you'll work on

• Architect, build, and deploy high-performance ML models into production, ensuring scalability, reliability, and low latency.
• Lead key phases of the ML lifecycle, from data preparation and model development to evaluation and monitoring, while working within mission-aligned constraints and collaborating across teams to evolve the pipeline responsibly.
• Develop and implement state-of-the-art algorithms, specifically utilizing neural networks, including graph neural networks.
• Work closely with Product Managers, Software Engineers, and Government Stakeholders to align technical solutions with platform goals.
• Improve model performance through feature engineering, hyperparameter tuning, and advanced experimentation.
• Mentor junior software developers and provide technical guidance/expertise.
• Ensure appropriate documentation is developed in conjunction with all delivered analytics.
• Troubleshoot issues with existing analytics and processes, and research/implement solutions.
• Use your experience to guide analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.

What we're looking for

Required:

• Active TS/SCI security clearance.
• Master’s degree in data science, AI, or a related quantitative field.
• DOD Directive 8570 IAT I or II certification (Security+ or equivalent).
• 5+ years of industry experience in Machine Learning, with a focus on deploying models into production.
• Deep knowledge of ML frameworks such as PyTorch or TensorFlow.
• Strong command of Python. Experience with machine learning libraries such as Spark MLlib, Scikit-learn, XGBoost, Keras, Hugging Face, PyTorch Geometric, MLflow.
• Extensive experience incorporating data from multiple sources, labeling data to make it more discoverable for training purposes and identifying hidden patterns.
• Experience with data visualization libraries and tools such as Matplotlib, Grafana, or Kibana.
• Ability to communicate complex problems and corresponding solutions with non-technical leadership and customers.
• This position may require up to 10% travel within the Continental United States (CONUS).

Desired:

• 2+ years developing efficient analytic solutions at scale (operating over multiple PB of data).
• Experience with search technologies such as Elasticsearch (ELK stack) and Lucene.
• Experience with Confluence/Jira page and ticket development and organization.
• Experience with Docker/Kubernetes and building containerized products.
• Experience with CI/CD pipelines and Git-related tools.
• Experience with data pipelines - Pandas, NumPy, NiFi, and Kafka or similar libraries and technologies.
• Experience with collaborative platforms such as Jira and Confluence.
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Familiarity with network defense concepts and operations.
• Familiarity with cybersecurity principles and threat hunting methodologies.
• Familiarity with how to collect, store, and monitor data.

*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.