Job Description
Location(s): Pasadena, Santa Barbara, San Diego, Portland Practice/Department: Urban Forestry Internal Title: As-Needed Urban Forester I Work Environment: Remote or Hybrid Compensation: $30 - $45 hourly* Dudek’s journey began in 1980 with a vision to serve Southern California’s water and wastewater agencies.
Today, we are a 100% employee-owned firm supporting clients nationwide and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations , and we’ve been honored with multiple national Top Workplace Awards.
Our employees are unified by a singular commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community resilience.
Learn more about our
award-winning culture , the
benefits and perks of being a Dudekian, and the
projects you will have the opportunity to shape.
Who You Are As an employee you embrace accountability, working safely, and collaboration while thinking resourcefully and independently.
Like all Dudekians, you are curious and
solution-oriented , with the ability to adapt quickly to changes and approach challenges with a spirit of
innovation .
How You’ll Make an Impact We’re seeking an
as-needed Environmental Data Analyst to support urban forestry and environmental data science projects. This flexible position will average 10–25 hours per week, beginning in June 2025 and continuing for at least three months, with the potential for extension or possible transition to full-time, based on mutual agreement.
You will report to the lead data scientist on the Urban Forestry team who manages technical analyses for urban forest planning and supports data needs across multiple practice areas. This role offers an exciting opportunity to strengthen your technical skillset, gain hands-on experience in applied environmental data science, and contribute to projects that support data-driven planning and the sustainable management of natural resources.
Duties and Responsibilities - Perform spatial and statistical analysis to support canopy cover assessments using land cover classification, lidar, and other environmental datasets.
- Create and maintain existing reproducible workflows using R and Python to process geospatial and tabular data.
- Use tools such as RStudio, Jupyter Notebook, ArcGIS Pro, QGIS, Excel, and GitHub to manage and execute data analysis workflows.
- Analyze and visualize datasets such as tree inventories, species water use ratings, land cover classifications, and municipal budgets.
- Apply statistical techniques and data modeling methods to explore trends in canopy cover, species diversity, and planting potential.
- Develop static and interactive visualizations, dashboards, and other graphics for project reports and presentations.
- Support technical writing for Urban Forest Management Plans, including methodology summaries, metric interpretation, and visual data storytelling.
- Contribute to the development of standard operating procedures (SOPs), technical documentation, and scalable workflows for long-term data analysis.
- Provide input on data analysis approaches, tools, protocols, and emerging technologies based on experience and industry knowledge.
Minimum Qualifications - Bachelor’s degree or higher in Environmental Science, Data Science, Geography, Statistics, or a related field.
- Demonstrated proactive problem-solving skills.
- Interest in urban forestry and environmental science challenges.
- Comfortable taking direction and providing regular updates to technical leads in a fast-paced, project-based environment.
- Proficiency in R for data cleaning, scripting, analysis, and visualization, and geospatial workflows.
- Familiarity with Python for geospatial and data analysis tasks.
- Experience conducting geospatial analysis using QGIS or ArcGIS Pro.
- Experience applying descriptive, inferential, and spatial statistics to environmental or geospatial datasets, including trend analysis, correlation, regression, and spatial pattern detection.
- Proficiency with the Microsoft Office environment, including Excel, Word, and PowerPoint for data formatting, report writing and presentations.
- Experience creating maps, plots, and graphs that effectively communicate to both technical and non-technical audiences.
- Familiarity with Git and GitHub for version control and code collaboration.
- Excellent written and verbal communication skills.
- Ability to work both independently and collaboratively on remote teams.
- A valid driver’s license.
Preferred Qualifications: - Master’s degree or higher in Environmental Data Science, Data Science, Environmental Management, or a related field.
- Experience conducting original research or developing new analytical methodologies.
- Familiarity with tools like Google Earth Engine (GEE) and working with APIs.
- Experience with SQL for database management, querying, and integration with data analysis workflows.
- Experience using Power BI to create interactive dashboards or data reports.
- Foundational knowledge of urban forestry concepts, including sustainability principles, climate impacts, tree maintenance practices, and standards such as ISA and ANSI.
- Ability to contribute to team strategy, business development, and continuous improvement of data workflows.
Compensation: $30 - $45 hourly*
*Final agreed-upon compensation will be based on a variety of factors including, but not limited to, an individual’s related experience, education, certifications, skills, and work location. Successful candidates must pass a pre-employment drug test and background check prior to beginning employment.
Working Conditions Environment
- This job operates in an office-based environment and this role routinely uses standard office equipment such as computers, phones, printers, etc.
Physical Requirements
The physical demands described here are representative of those that must be met to successfully perform the essential functions of the job. This job requires the following:
- Working on a computer, sitting, or standing for long periods of time in an office or remote office setting.
- Attending meetings, virtually and potentially in person, and speaking on the phone with peers, clients, etc.
- Specific vision abilities, including close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Dudek is committed to creating a workplace where all employees, regardless of their background, feel valued, respected, and have equal opportunities to succeed. We believe that a diverse and inclusive workforce is essential to our business success, and we are dedicated to fostering a culture where everyone can thrive. We are committed to fair and equitable processes, based on merit, free from any discrimination.
Dudek is genuinely committed to equal employment opportunities within our company and on our project teams. Dudek is also committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Dudek’s operations and prohibits unlawful discrimination by any employee of Dudek, including supervisors and coworkers. Equal employment opportunities will be extended to all persons (including those with disability and veteran status) in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, compensation, benefits, discipline, layoff, recall, and termination. Any employee who violates this policy and Dudek’s commitment to equal employment opportunities will be subject to disciplinary action.
*As-needed and part-time employees are eligible for our 401(k) plan, sick leave, and our Employee Assistance Program (EAP). As-needed and part-time employees have the option of additional benefits like medical benefits and ESOP participation provided they meet minimum hours worked during the 12-month look back measurement period. Speak with your recruiter to learn more.
Dudek is a U.S.-based employer. All positions are based in the United States and require U.S. work authorization.
Job Tags
Hourly pay, Full time, Contract work, Work at office, Flexible hours, 10 hours per week,