Environmental Data Scientist

About Us

Groundbreaker. Game changer. Pioneer.

TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow‑through of an industry leader.

TRC's professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We deliver breakthrough solutions that address local needs – so our clients can better succeed in an ever‑changing world.

Working at TRC means tackling interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.

TRC’s vision is to solve the challenges of making the Earth a better place to live – community by community and project by project. We value Safety, Quality, Integrity, Creativity, Accountability, Teamwork, and Passion.

We currently have an opportunity for an Environmental Data Scientist to join our growing Engineering, Construction and Remediation Practice in Ann Arbor, MI. The position includes working with a multi‑disciplinary team on a variety of environmental projects applying data management, data interpretations, and statistical evaluation support along with developing visualizations and infographics for various site investigation, groundwater monitoring, and remediation projects.

This position will involve collaboration across TRC while participating in local project teams.

The successful candidate will be a highly motivated, team‑oriented individual with at least 2‑6 years of data science and/or environmental industry‑related experience.

Initial responsibilities will be commensurate with experience and capability and will include data analytics applied to engineering and geological interpretation of environmental data using a broad range data management systems and software applications, collaboration on sampling analysis plans, quality assurance project plans, and statistical evaluation plans and implementation of those plans through data processing, data reduction, and statistical analysis to support data‑driven decision making.

Project data includes field documentation, field‑collected data, laboratory analytical data for a variety of environmental media, and geological and geotechnical information.

Opportunities to contribute will focus on developing workflows and dashboards and integration of digital tools to compile and interpret data against various regulatory standards and prepare report‑ready data tables, charts, figures and other visualizations and infographics using a variety of tools.

• Demonstrate excellence and efficiency in communication, data analysis, professional judgment, and knowledge of scientific principles.
• Thrive in a fast‑paced environment, managing time effectively and balancing multiple project assignments and deadlines with a variety of project teams.
• Possess strong organizational, interpersonal, verbal, and written communication skills.
• Have a strong sense of responsibility and work ethic.
• Have the ability to lead initiatives and effectively organize and disseminate information.
• Demonstrate strong quality assurance/quality control skills and attention to detail.
• Compile, organize, and configure environmental datasets within the Earth Soft’s EQuIS data management platform to support project objectives.
• Support geologic and engineering interpretations and the preparation of reports and visual materials using a variety of tools to effectively communicate findings to both technical and non‑technical audiences.
• Work closely with cross‑disciplinary teams of field and technical professionals—including geologists, environmental scientists, engineers, chemists, GIS/CAD specialists, and partner analytical…