Data Scientist

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

At Jacobs, we integrate environmental science with innovative data technologies to advance sustainability and compliance. We are looking for an emerging Data Scientist or Engineer, with a passion for environmental science. And a robust analytical skill set. This position will focus on using data to understand and influence areas such as environmental remediation and compliance. You’ll have opportunities for professional development and training. You'll enjoy a dynamic and supportive team focused on innovation and impact. To be considered for this Hybrid role, you'll be based in the U.S., and we may even consider candidates based in Canada as well.

Keys For Success In This Role:

• Work with environmental domain experts to translate complex data into actionable insights for environmental restoration and compliance.
• Design, build, and maintain scalable data pipelines and cloud infrastructure for environmental data processing.
• Use skills in exploratory data analysis, environmental statistics, and machine learning to evaluate and predict and report environmental impacts and outcomes.
• Create dashboards and automated reports to communicate findings to stakeholders.
• Develop and deploy models to analyze environmental data sets for trends, patterns, and insights.

Here's what you'll need

• B.S. Computer Science, Environmental Science, Biology, Geology, Engineering, or Geography.
• Proven experience (minimum 5 years) in Data Science, Data Engineering, or a related discipline.
• Strong domain background in Geology, Environmental Engineering, or a related scientific discipline.
• Proficiency in Python, R, and SQL.
• Proven experience in data analysis and visualization techniques for environmental data.
• Experience with interactive web application frameworks such as RShiny or Streamlit.
• Experience with document authoring frameworks such as RMarkdown or Quarto.
• Knowledge of spatial data analysis and GIS fundamentals.
• Knowledge of database management principles.
• Familiarity with development environments including Azure, Docker, and Linux.

Ideally You'll Also Have:

• Advanced degree in Data Science, Geology, Engineering, or a related field.
• Additional programming skills in C++, Java, SQL, Swift.
• Previous experience in environmental projects.
• Experience with machine learning and artificial intelligence.

At Jacobs, we’re partnering across the globe to create the best project outcomes by maximizing the design, digital technology, and support capabilities of our Global Integrated Delivery (GID) teammates. By joining Jacobs, you’ll commit to supporting and engaging with these teams, as we work to build a company like no other.

Jacobs’ health and welfare benefits are designed to invest in you, and in the things you care about. Your health. Your well-being. Your security. Your future. Employees have access to medical, dental, vision, and basic life insurance, a 401(k) plan, and the ability to purchase company stock at a discount. Eligible employees may also enroll in a deferred compensation plan or the Executive Deferral Plan. Jacobs has an unlimited U.S. Personalized Paid Time Off (PPTO) policy for full-time salaried/exempt employees, seven paid holidays, one floating holiday, and caregiver leave. And certain roles may be eligible for additional rewards, including merit increases, performance discretionary bonus, and stock.

The base salary range for this position is $80,000.00 to $105,000.00. 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.