Junior Data Scientist
Jacobs
Key Responsibilities
- Collect, clean, transform, and analyze data from multiple sources.
- Support the development and maintenance of databases, data models, and repeatable data workflows.
- Apply statistical and analytical techniques to explore data and help answer client questions.
- Develop visualizations, reports, and dashboards that communicate findings and support decision-making.
- Contribute to software development using the Palantir SDK and React, including building and improving Workshop applications.
- Collaborate with team members to implement front-end and back-end solutions that meet project needs.
- Translate business and operational requirements into clear analytical or technical tasks.
- Present findings and explain analytical results to technical and nontechnical audiences.
- Develop skills in data science, software development, business process engineering, and system integration.
Requirements & Tech Stack
- Bachelor’s degree in Data Science, Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
- Up to two years of experience in data science, analytics, or software development. Relevant academic projects and internships count; recent graduates are encouraged to apply.
- Foundational programming skills in Python, JavaScript, TypeScript, or a similar language.
- Basic understanding of SQL and relational databases.
- Strong problem-solving skills, attention to detail, and a collaborative approach to work.
- Interest in learning new technical skills and applying them in a fast-paced environment.
- Ability to travel up to 20% within the United States and internationally.
- Ability to obtain a U.S. Government Common Access Card and obtain and maintain a U.S. Government security clearance.
- U.S. citizenship is required.
- Visa sponsorship is not available.
Qualifications
- Hands-on experience with Palantir Foundry, including its SDK or Workshop.
- Experience with React, Angular, or another front-end framework.
- Exposure to business intelligence tools such as Tableau or Power BI.
- Experience with data visualization, statistical analysis, or predictive modeling.
- Interest in business process engineering, system integration, or decision-support applications.