Project Environmental Data Scientist

TEPA Companies•Denver, CO

About The Position

Established in 2005 and owned by the Paskenta Band of Nomlaki Indians, The Tepa Companies deliver comprehensive and sustainable solutions to federal, state, local, and private-sector clients throughout the United States. The tribally owned companies work independently and collaboratively to provide wide-ranging construction, engineering, environmental, industrial, staffing, and technology services. When you join Tepa Companies, you have the opportunity to expand your entrepreneurial skill set while growing professionally alongside the best in the industry. You will have the opportunity to impact your team, the organization as a whole, and subsequently, our Tribe. We seek out top talent to provide the best services for our clients. We focus on being a responsible company for our employees and their families by creating a culture that reflects our core values and offering competitive pay and benefits package. Our benefits package includes comprehensive medical, dental, vision, generous paid time off and holidays, 401(k) plan with company match, life insurance, flexible spending and health savings account, mental health support and resources, short and long-term disability, and tuition reimbursement. The Tepa Companies are seeking a Project Environmental Data Scientist to lead the design, delivery, and operation of environmental data systems across multiple projects, ensuring that data pipelines, analytics, and reporting processes support accurate and defensible decision-making. This role operates within an Agile delivery environment and is responsible for coordinating technical execution, managing project-level data systems, and maintaining alignment with the organization’s single source of truth (SSOT). The position integrates data architecture, analytics, and project delivery to ensure consistent, scalable, and high-quality outcomes.

Requirements

Bachelor’s degree in data science, environmental science, engineering, computer science, or related field
7-10 years of relevant experience
0-5 years of demonstrated experience designing and implementing data systems, pipelines, and analytical solutions for environmental data
Strong ability to design and manage data systems, including databases, pipelines, and automated workflows
Proficiency in data tools such as SQL, Python, or similar technologies
Ability to lead technical teams and coordinate delivery across multiple projects
Strong analytical and problem-solving skills with focus on data quality and system performance
Strong communication skills with ability to translate technical outputs into actionable insights
Ability to manage competing priorities and deliver results within an Agile environment
Must be able to pass a law enforcement/financial background check for access to military and government facilities, as needed.

Nice To Haves

Masters preferred
Experience with environmental regulatory programs (CERCLA, BRAC, FUDS, etc.)
Familiarity with cloud-based data platforms
GIS familiarity is acceptable but not required

Responsibilities

Leads the planning, execution, and delivery of environmental data systems, including databases, pipelines, analytics, and reporting workflows across multiple projects.
Ensures alignment of project data systems with enterprise data architecture and SSOT standards.
Oversees environmental data management, analysis, and system operations to ensure data quality, consistency, and traceability.
Directs and mentors data scientists and analysts, providing technical guidance and ensuring delivery of production-ready outputs.
Coordinates with clients, contractors, and internal teams to define requirements, develop solutions, and implement data-driven systems.
Prepares proposals, scopes of work, and cost estimates for data-related components of projects.
Manages project schedules, deliverables, and priorities within an Agile delivery framework.
Leads the development and implementation of automated workflows and data pipelines to improve efficiency and scalability.
Ensures that analytical outputs and data products support regulatory, programmatic, and decision-making needs.
Identifies risks, data gaps, and system limitations, and develops mitigation strategies.
Supports and oversees QA/QC processes, including coordination with laboratories and data validation teams.
Supports proposals and contributes technical input to scopes and solutions.
Documents and standardizes workflows to support repeatable and scalable delivery across projects.