Title: Mid-Senior Wildlife Biologist / Wetland Scientist (Hybrid) Location: Portland United States Job Description: The Opportunity: Tetra Tech is seeking a Mid-Senior Wildlife Biologist or Wetland Scientist to support our growing Energy Practice based out of our Portland, OR office. This role focuses on permitting and environmental support for renewable energy projects, including wind, solar, and transmission infrastructure. The ideal candidate will have experience in wildlife and/or wetland assessments, with a strong understanding of avian and bat ecology, permitting, and environmental impact analysis. This position offers a mix of technical writing, task management, and fieldwork, with opportunities for project leadership depending on experience. Location: Portland, OR (Hybrid/Field-Based) Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For over 50 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our work has improved more than 625 million lives around the world. Your Impact: Join Tetra Tech to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential - join us to advance your career while leaving a lasting legacy. Essential Job Functions: Field & Technical Responsibilities - Conduct and/or coordinate wildlife and wetland surveys and habitat evaluations - Perform impact assessments for energy and infrastructure projects, with emphasis on wind energy - Support or lead field efforts, including avian and bat surveys, habitat delineations, and post-construction monitoring Permitting & Regulatory Support - Support environmental permitting and due diligence efforts - Prepare and contribute to: - Eagle Conservation Plans (ECPs) - Bird and Bat Conservation Strategies (BBCSs) - Habitat Conservation Plans (HCPs) - NEPA documents (EAs/EISs) - ESA and Clean Water Act-related documentation - Support client and regulatory agency coordination Project & Task Management - Develop proposals, including scopes of work, schedules, and budgets - Manage biology-related tasks, including coordinating field logistics and ensuring quality deliverables - Provide strategic input on projects related to renewable energy, traditional energy, and linear infrastructure - Conduct activities in line with internal procedures, legislation, and industry standards. - Pursue continuous professional development and maintain a high degree of discipline knowledge and awareness. - Work in a safe manner at all times and report all health and safety incidents and concerns. - Additional duties as required. Required Qualifications: - Bachelor's or Master's degree in Biology, Wildlife Ecology, Environmental Science, or related field (Master's preferred) - 5+ years of relevant professional experience, including: - Wildlife field surveys - Ecological assessment and environmental impact analysis - Minimum of 3 years of direct field experience - Strong technical writing and communication skills - Experience with: - Environmental permitting and due diligence - Biological resource management and habitat conservation planning - Ability to manage multiple tasks and work collaboratively across teams - Must possess a valid driver's license with a clean driving record without restrictions. Preferred Qualifications: - Experience with avian and bat ecology, including risk assessments and mortality monitoring - Experience with wetland delineations - Proficiency with GPS equipment and GIS software (ArcGIS or similar) - Strong statistical or modeling experience - Experience with task or project management Physical Requirements - Ability to perform fieldwork in outdoor and remote environments - Ability to walk long distances, including off-trail travel and uneven terrain - Ability to work in varying weather conditions Work Environment / Environmental Factors: - Hybrid role with a mix of office, remote, and field-based work - Fieldwork may include remote locations and extended outdoor exposure - Travel required based on project needs Life at Tetra Tech: The perks of working at Tetra Tech include: - Comprehensive and market-competitive benefits. https://www.tetratech.com/careers/life-at-tetra-tech/ - Merit-based financial rewards. - Flexibility and company-wide commitment to work/life balance. - Collaborative team atmosphere that values the contributions of all employees. - Learning and development opportunities for ongoing professional growth. A pre-employment drug screen in compliance with federal regulations is required, along with a physical if needed. Compensation: Pay commensurate with experience. Pay Range: $80,000-$120,000 annually Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience and demonstrated work experience in the above role; skills, certifications, and competencies that align to the specified role; geographic location; and education, as well as contract provisions regarding labor categories that are specific to the position. At Tetra Tech, health and safety play a vital role in our success. Tetra Tech's employees work together to comply with all applicable health & safety practices and protocols, including public health orders and regulations that are mandated by local, state, provincial, federal, international authorities, and clients. About Tetra Tech: Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. With 30,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition. Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans. We invite applications from all interested parties. Explore our open positions at https://www.tetratech.com/careers Follow us on social media to learn more about our people, culture, and opportunities:

• Develop 2D and 3D image processing, computer vision, and measurement algorithms to support remote visual inspection systems • Lead and contribute to lower‑TRL technical development (TRL 3–6), including feasibility studies, algorithm prototyping, and performance characterization • Apply systems engineering principles to ensure algorithms integrate effectively into larger inspection systems and workflows • Work alongside software engineers to transition algorithms into deployable, production‑ready solutions • Perform exploratory, targeted, and validation data analysis using appropriate statistical and analytical methods • Collaborate with data and software engineers on data quality assessment, data preparation, and algorithm validation • Plan and manage your own technical tasks and project work, balancing multiple priorities with limited oversight • Generate technical documentation, reports, and annotated code to document development work and results • Communicate results, trade‑offs, and recommendations clearly to technical teams, product leadership, and customers • Engage directly with internal and external customers to understand use cases, constraints, and performance needs

Data Scientist (Privacy) 5662 Barcelona, Spain Full-time regular Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients. As part of the Privacy Science team within Privacy Solutions you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. You Will: - Critically analyse large health datasets using standard and bespoke software libraries - Discuss your findings and progress with internal and external stakeholders - Produce high quality reports which summarise your findings - Contribute to research activities as we explore novel and established sources of re-identification risk What You Will Bring to the Table: - MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar. - Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language - A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods - Seeks to understand real-world data in context rather than consider it in abstraction - Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions - Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines - Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports - Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Solution’ knowledge base - An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation - Familiarity with Amazon Web Services cloud-based storage and computing facilities - Bonus: Experience with SQL - Bonus: Experience of creating documents using LATEX - Bonus: Detailed knowledge of one or more types of health information such as genomics - Bonus: Experience with public sector work Perks of joining Datavant in Barcelona - 25 vacation days - Daily in-office lunch stipend (and a fully stocked kitchen) - Hybrid work model: 2 days/ week in our office in Gracia - Commitment to professional development opportunities - Employee-led initiatives including annual company-wide innovation day & DEI resource groups - Comprehensive private health coverage w/ out-of-network reimbursements options - Flexible remuneration with Cobee (Restaurant, Transportation, Nursery) - Peer & company recognition programs - Monthly educational lunch & learns To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

• Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain • Analyze large datasets to generate actionable insights and improve product performance • Build and maintain scalable data pipelines using big data tools and frameworks • Perform data preprocessing, cleaning, feature engineering, and model evaluation • Collaborate with cross-functional teams including engineers, analysts, and product managers • Ensure model accuracy, reliability, and scalability through rigorous testing and validation • Stay updated on emerging data science techniques, tools, and best practices • Contribute to team discussions, process improvements, and knowledge sharing