Junior Data Scientist
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Description
About Jacobs
At Jacobs, we’re committed to reinventing tomorrow by tackling the world’s most critical challenges. We strive to create thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific breakthroughs, and cutting-edge manufacturing, transforming abstract ideas into realities that benefit the world.
Description
Jacobs is seeking a dedicated Junior Data Scientist to join our Advisory Solutions Group, specifically within the Data Analytics Practice focusing on Federal clients. This role is pivotal in a specialized team that delivers data-driven analytical solutions to a variety of Federal organizations, aiming to improve operational efficiency and management effectiveness.
As a Junior Data Scientist, you will be involved in:
• Data Collection: Gathering and organizing data from various sources.
• Database Architecture Development: Designing and implementing database structures for efficient data storage and retrieval.
• Statistical Analysis: Utilizing statistical methods to analyze data, identify trends, and generate insights.
• Visualization and Reporting: Creating compelling visualizations and reports to communicate findings effectively to stakeholders.
You will contribute to Jacobs’ competitive advantage through analytics and data science, supporting both internal projects and external client requirements. This role is ideal for early-career professionals or recent graduates with a foundational skillset in data management, statistics, programming languages, and a keen interest in business process engineering and system integration.
This position offers the chance to be involved in a wide range of analytical services, from basic data processing to complex, interactive decision-support systems tailored to client needs. Candidates are expected to be enthusiastic about data and analytics, eager to develop new data practices/systems, and identify business opportunities. The role necessitates effective collaboration with internal teams and clients, providing strategic insights and solutions within defined project or organizational parameters.
Key Responsibilities:
• Contribute to data-driven solutions for Federal clients, enhancing operational efficiency and management effectiveness.
• Support both internal projects and external client requirements through data analysis and insights.
• Participate in data collection, database architecture development, statistical analysis, and visualization/reporting.
• Collaborate with internal teams and clients, providing strategic insights and solutions.
• Demonstrate enthusiasm for developing new data practices/systems and identifying business opportunities.
Requirements:
• Bachelor’s Degree in a quantitative discipline such as Computer Science, Data Science, Data Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or related field, from an accredited university.
• 2 years of experience in data science or a related field, including academic projects or internships focusing on data analytics; fresh graduates are encouraged to apply.
• Basic proficiency with Python, typescript, or other programming languages.
• Understanding of SQL and relational databases.
• Knowledge of or exposure to Business Intelligence tools such as Tableau and PowerBI.
• Strong problem-solving capabilities and a team-oriented mindset.
• Eagerness to learn and apply new technical skills in a fast-paced environment.
• Ability to travel up to 20% of the time CONUS and OCONUS.
• Ability to obtain a U.S. Government Common Access Card.
• United States Citizenship
Preferred Currently pursuings:
• Knowledge of Palantir.
