Data Scientist – Physical Sciences and Engineering--Flexible Location U.S. - Jacobs Engineering Group : Job Details

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

When it comes to environmental consulting, we're focused on advancing our clients' environmental stewardship and sustainability initiatives. At Jacobs, we combine scientific expertise and cutting-edge data science to solve complex real-world challenges. We're seeking a Data Scientist with a strong background in physical sciences (e.g., geology, chemistry, biology, physics) or engineering (e.g., environmental, civil) and demonstrated proficiency in R. This role is ideal for someone who thrives at the intersection of scientific knowledge and advanced data science techniques, with a passion for developing innovative, data-driven solutions.

If you're a domain specialist in physical sciences or engineering with strong R proficiency and a passion for developing impactful, data-driven solutions; come join our team of professionals and help us make a difference through data science and scientific expertise.

Key Responsibilities In This Role:

• Collaborate Across Disciplines : You'll work with subject matter experts in physical sciences and engineering to develop data-driven solutions for scientific and engineering challenges.
• Develop Scalable Data Workflows : You'll build robust data pipelines, optimize workflows, and process complex datasets to uncover trends and actionable insights.
• Leverage Advanced Analytical Techniques : You'll apply statistical, predictive modeling, and machine learning techniques to analyze large, structured, and unstructured datasets.
• Ensure High-Quality Data Solutions : You'll design reproducible, efficient workflows with proper documentation and version control practices.
• Transform Data into Insights : We'll lean on you to deliver clear, impactful visualizations and reports that make complex scientific data accessible to stakeholders.
• Facilitate Communication and Integration : You'll be key in bridging the gap between domain expertise and data science, ensuring solutions align with project goals and real-world applications.

Why Jacobs?

• Make a Real Impact : Solve scientific and engineering challenges using advanced data science to create practical, meaningful solutions.
• Collaborative Environment : Join a diverse team of domain experts, data scientists, and developers who value teamwork, creativity, and innovation.
• Growth Opportunities : Develop your skills and advance your career with opportunities for continuous learning and professional development.
• Innovative Work : Master cutting-edge tools and techniques to work on projects that shape the future of environmental and scientific solutions.

Minimum Requirements:

• Bachelor's degree in Physical Sciences (e.g., Geology, Chemistry, Biology, Physics) or Engineering (e.g., Environmental, Civil) or a closely related scientific field.
• Strong proficiency in R, with proven experience applying it to data analysis, statistical modeling, or workflow development.
• Minimum 5 years of experience as a Data Scientist, Data Analyst, or a similar role solving scientific or engineering challenges.
• Demonstrated ability to analyze and process large, complex datasets to extract meaningful patterns and insights.
• Experience developing and managing scalable data workflows and pipelines.
• Strong problem-solving skills with a solid foundation in statistics, linear algebra, and scientific analysis methods.

Ideally, you'll also have:

• Graduate degree in Physical Sciences, Engineering, Data Science, or a related quantitative field.
• Hands-on experience developing R-Shiny applications for data visualization and interactivity.
• Experience with geospatial analysis, GIS, and geodatabases.
• Familiarity with Docker for containerized application development and deployment.
• Proficiency in version control tools such as GitHub or Azure DevOps.
• Excellent communication and collaboration skills to work effectively with multidisciplinary teams.
• Experience with Power BI, Tableau, or other business intelligence tools.

Salary Information:

The base salary range for this position is $78,600.00 to $118,910.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.