The Office of the Health & Civil Chief Data Officer has an opening for a data scientist intern. This position provides a current graduate student an opportunity to work on real-world data science problems while they complete their degree program. Following graduation, there is an opportunity to convert to full-time in the Reston, VA region.

Primary responsibilities include:

• Identifying, cleaning, and managing datasets, including open-source data, commercial data, and client data.
• Conducting exploratory data analyses to understand the scope and quality of the data.
• Cleaning and enriching the data to maximize their value in advanced analytics.
• Analyzing datasets to identify patterns and make predictions or recommendations.
• Developing prototype systems in a laboratory environment.

Basic qualifications:

• The candidate must be current enrollment in a postgraduate degree program (Masters/JD/PhD).in computer science, statistics, or a related field
• Demonstrated experience with advanced analytics including machine learning and generative artificial intelligence
• Familiarity with data science programming languages, such as Python, R, and SQL
• Experience using common data science packages, such as Keras, TensorFlow, and scikit
• Excellent communications skills, both written and verbal

Preferred qualifications:

• Demonstrated experience with innovation, through publications or patents
• Demonstrated experience with full-stack software development
• Familiarity with Agile development in a team setting

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.