As an aspiring data scientist and AI engineer, you know you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see data scientists turning data into actions, and you want to be part of the team.
Requirements
- 3+ years of experience leveraging statistical programming languages, such as Python, to develop predictive data models, quantitative analyses, and data visualizations
- 2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, or Natural Language Processing
- 1+ year of experience in software development, including Git for version control and collaboration with other developers, and testing and code reviews to ensure the quality and reliability of AI solutions
- Experience designing and performing A/B testing to evaluate model performance and measure the impact of AI solutions on business outcomes
- Experience in programming languages, including Python, to write efficient, clean, and maintainable code
- Experience with machine learning libraries and frameworks like Scikit-Learn, TensorFlow, or PyTorch
- Knowledge of statistical analysis, data preprocessing techniques, and feature engineering
- Ability to work with large datasets using tools such as SQL or Spark to query
Responsibilities
- use your analytical skills to help create real-world impact
- dig into their data-rich environments to find the pieces of their information puzzle
- develop algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions
- develop predictive data models, quantitative analyses, and data visualizations
- develop AI solutions
- perform A/B testing to evaluate model performance and measure the impact of AI solutions on business outcomes
Other
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree in a Computer Science, Machine Learning, Data Science, or Industrial Engineering field
- Experience with Agile methodologies and best practices
- Master’s degree
- Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
