ABOUT THE TEPA COMPANIES 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. Job Functions: - 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. WHAT WE’RE LOOKING FOR - 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. Preferred not required: - Masters preferred - Experience with environmental regulatory programs (CERCLA, BRAC, FUDS, etc.) - Familiarity with cloud-based data platforms - GIS familiarity is acceptable but not required

• Empower the company with data - Generate and communicate data-driven insights to influence product and business decisions. • Develop metrics and experiments - Understand our growth and measure the impact of product and operational changes. • Work collaboratively - As a member of Growth team, contribute to the company roadmap by working with stakeholders across Product, Engineering, Design, and Operations.

• Work independently to analyze and interpret healthcare utilization and financial data to address business questions regarding population health management, health and economic outcomes, quality of healthcare, and product design. • Work with clients to identify historical and future cohort populations, calculate utilization and costs, and estimate financial results under different models. • Work with clients to provide insights about new opportunity assessment. • Use SAS, SQL, and Tableau to design platforms to report on various healthcare deliverables. • Track issues with reports, including defects in logic, data quality problems, and process errors. • Build up predictive models to segment patients. • Support analytical research projects using your statistics and modeling skills.

• Work in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective. • You will build models, tinker around them to make them work, test them, and eventually deploy them to production. You will see your stuff in action and you will be able to measure the true impact of your models (less expected, yet a requirement) • You will maintain strong relationships with stakeholders. This means asking a lot of questions to business people, and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering to get things done in an elegant and timely manner. • Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers) • Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers. • Partner with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform. • You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Bulgaria, Romania, Poland, Ukraine, Kazakhstan, and Uzbekistan. • Most importantly you will have fun working with us :)