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Staff Environmental Scientist/Data Analyst

Staff Environmental Scientist/Data Analyst


Syracuse, NY or other office locations

Employment Type


TIG Environmental performs environmental allocation/litigation support activities, including contaminant source identification, site and industry archaeology, environmental forensics, data analytics, and the characterization and remediation of contaminated waterfront and upland sites. We operate in a highly collaborative environment and work with team members across the United States and in Europe. Our client and project needs expose employees to a wide variety of projects and complex assignments that provide opportunities for professional development while working on interdisciplinary teams.

Please email your resume to

Why work for TIG Environmental?

  • We are a specialized scientific and engineering company with diverse clients and projects across the United States and in Europe, where we operate in a highly integrated and collaborative environment. Staff have consistent and regular exposure to projects and teams located outside their local office environment.

  • We are an equal opportunity employer with a diverse talent pool, including environmental scientists, engineers, geologists, chemists, modelers, data scientists, and private investigators.

  • Our client and project needs allow employees to gain exposure to interesting, challenging, and complex assignments that provide opportunities for professional development and career growth while working on interdisciplinary teams.

  • Each employee is encouraged to develop and implement a personal Professional Development Plan, fostering career growth while receiving coaching from senior team members.

  • We have a comprehensive health and safety program that focuses on the safety and well-being of all TIG employees.

Job Requirements:

Location (hybrid): Syracuse, NY; Bedminster, NJ; Portland, OR

Employment Type: Full-time

We have an exciting opportunity for an entry-level environmental scientist near any of our physical office locations listed above. This is primarily an office-based position, and the successful candidate must be willing to travel into the office location on a semi-regular basis.

The successful candidate will be an integral member of the forensics and data analytics team supporting all of TIG’s practice areas. You will join a group of tech savvy environmental scientists and engineers that apply analytical solutions to solve our clients’ most challenging problems. Our experts have decades of experience applying mathematical models and computational statistics to large and small datasets of both structured and unstructured data types. We develop new algorithms and custom solutions when existing models and methodologies are insufficient or inefficient. You will have the opportunity to work on diverse projects ranging from modeling water quality impacts, unmixing source contamination at large Superfund sites, developing integrated data ecosystems and dashboards, to mining evidence from document productions in complex litigation matters. If you thrive on solving complex problems with elegant solutions come join us.

Preferred Skills

  • B.S. / M.S. degree in environmental engineering, environmental science, geology, chemistry, natural resources, data science, or related field.

  • Experience with one or more relational databases (Microsoft SQL server, PostgreSQL, Microsoft Access).

  • Demonstrated experience with desktop and web-based data visualization (such as ArcGIS, Power BI, Tableau, Shiny).

  • Scientific computer programming experience in one or more languages (R, Python, java).

  • 1 - 4 years of experience applying computer science to environmental matters, such as environmental data analysis, fate and transport modeling, dashboard development, database development, data mining, data validation.

  • Team player with a high degree of self-motivation and strong interpersonal, writing, organization, presentation, and analytical skills.

  • Familiarity with environmental remediation concepts, such as conceptual site models, risk assessment, contaminant fate and transport, or environmental compliance.

  • 40-hour HAZWOPER certification or willingness to obtain certification.

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