2

Entry Level Conservation Data Science Jobs (NOW HIRING)

Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science, hydrology, data analysis, or related fields, AND

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

Lynker Corporation is a leading provider of innovative solutions in weather and climate science ... conservation, and management and business process improvement. We focus on putting the right people ...

next page

Showing results 1-20

Entry Level Conservation Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do entry level conservation data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for entry level conservation data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects does an entry level conservation data scientist work on?

As an Entry Level Conservation Data Scientist, you can expect to work on projects such as analyzing wildlife population data, mapping habitat changes using GIS, and modeling the impacts of environmental policies. Your work often involves managing and cleaning ecological datasets, running statistical analyses, and visualizing results to support conservation decisions. You’ll typically collaborate with ecologists, field researchers, and policy teams to translate data insights into actionable conservation strategies. This role is a great starting point for learning how data-driven approaches directly inform and improve conservation practices.

What is entry level conservation data science?

Entry level conservation data science is a field where professionals use data analysis and computational tools to help solve problems in environmental conservation. These roles typically involve collecting, cleaning, and analyzing data related to wildlife, ecosystems, and natural resources. Entry-level positions may include tasks like managing databases, visualizing geographic information, and supporting research projects. This field is ideal for recent graduates with skills in data science, ecology, or environmental science who want to contribute to conservation efforts.

What are the key skills and qualifications needed to thrive as an entry level conservation data scientist?

To thrive as an Entry Level Conservation Data Scientist, you need a background in ecology or environmental science, proficiency in data analysis, and experience with statistics, usually supported by a relevant bachelor's degree. Familiarity with programming languages like R or Python, data visualization tools, and GIS software is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and share findings clearly. These competencies are crucial for generating actionable insights from complex environmental data to support conservation decision-making.

What is the difference between Entry Level Conservation Data Science vs Entry Level Environmental Data Analyst?

AspectEntry Level Conservation Data ScienceEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; basic programming skillsBachelor's in Environmental Science, Data Analysis, or related field; proficiency in data tools
Work EnvironmentFieldwork, research institutions, conservation organizationsResearch labs, government agencies, environmental consultancies
Employer & Industry UsageConservation projects, wildlife agencies, NGOsEnvironmental impact assessments, policy analysis, sustainability firms

While both roles involve analyzing environmental data, Conservation Data Scientists focus on applying data science techniques to conservation efforts, often combining field data with advanced analytics. Environmental Data Analysts typically handle data interpretation for environmental reports and policy. The roles overlap in skills and industry but differ in focus and application.

More about Entry Level Conservation Data Science jobs
What are the most commonly searched types of Conservation Data Science jobs? The most popular types of Conservation Data Science jobs are:
What states have the most Entry Level Conservation Data Science jobs? States with the most job openings for Entry Level Conservation Data Science jobs include:
Infographic showing various Entry Level Conservation Data Science job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 29% Part Time, 2% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Water Conservation Data Analyst

Summary

Vail, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data analysis to support water conservation goals, create water-saving strategies, and help shape a sustainable future for our community. You will support programs to manage water use across our customer types and influence conservation through data-driven insights. 

We’re seeking an individual passionate about using data in an environmental sustainability and water conservation setting. If you thrive on data analysis, enjoy collaborating with diverse teams, and are excited about creating positive change, this role could be a perfect fit. 

Why work for us? The work you will do as a Water Conservation Data Analyst will allow you to make a real difference in creating a sustainable future for the community where we live, work and play. In addition, we offer excellent health benefits, a housing program, and opportunities for training and development.  

Day to Day Responsibilities: 

  • Data Analysis & Evaluation: Use data to support business decisions about water conservation and other internal initiatives and track the impacts resulting from our work. Lead sophisticated statistical analyses of water use to refine conservation needs and understand how factors such as outreach, weather, and rates affect customers' water use. 
  • Statistical Modeling & Forecasting: Build regression and time-series models to quantify how weather, rate changes, and outreach affect water use, and forecast future demand and revenue under different rate and conservation scenarios. 
  • Data Engineering & Tooling: Develop and maintain reproducible data pipelines, analysis scripts, and interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for accuracy before it drives analysis, reporting, or billing. 
  • Data Management & Visualization: Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public. 
  • Cross-Functional Collaboration & Support: Partner with departments across the organization to design customer communications and support water conservation and rate initiatives. Serve as a subject-matter resource on water-use data and analysis for other teams and leadership and help onboard and mentor interns and analysts on tools, methods, and best practices. 
  • Communication & Storytelling: Translate complex analyses into clear narratives and visuals for non-technical audiences, present findings at internal meetings, town halls, and stakeholder sessions, and respond to occasional technical customer inquiries about water use, bills, and rates. 
  • Research, Reporting & Documentation: Apply best practices in water conservation and data-driven rate structures, and maintain SOPs, reports, records, and documentation so analyses and processes remain reproducible and transferable across the team. 

Qualifications and Competencies: 

  • Education & Experience:  
    • Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science, hydrology, data analysis, or related fields, AND 
    • Minimum two years of professional experience in a data analysis-heavy field, OR any combination of experience and training that would provide the required knowledge and abilities. 
  • Problem Solving: Use critical thinking to address data discrepancies, quality-check datasets, and support solution development through comprehensive analysis. 
  • Teamwork: Ability to work across all departments and manage workloads. 
  • Project management skills 

Required Technical Skills: 

  • Data Modeling: Advanced skills in querying, data extraction, transformation, aggregation, and optimization 
  • Programming and Analysis: Experience with R and R Studio/VS Code for data manipulation, statistical analysis, and modeling 
  • Statistical Software and Libraries: Proficiency in statistical software and libraries (e.g., pandas in Python, dplyr in R) for advanced data manipulation and analysis. 
  • Git: Ability to incorporate Git version control into workflows for reproducible code, CI/CD DevOps, and collaboration amongst data colleagues. 
  • Excel: Strong foundational Excel skills for supplemental analysis (Pivot Tables, Conditional Formatting, Index Match, Data Validation). 

Nice to Have Skills: 

  • SQL Server (Data Warehousing, ETL) 
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources. Power Platform 
  • Experience using Virtual Machine (VM) Environments 
  • Python 
  • Docker 
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards. 

The Schedule  

This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado. 

Pay Range 

The salary range for this role is $85,259.20 – $119,329.60. Hiring wage will depend on qualifications and experience. 

We are committed to recognizing andretaininghigh-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations. 
Benefits 

At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to: 

  • Comprehensive medical, dental, and vision coverage 
  • Employee housing or $559 monthly housing stipend  
  • Wellness program 
  • Retirement savings plans (414h and 457) – We are a social security exempt organization 
  • 13.5 Paid Holidays 
  • Paid Time Off (PTO) 
  • Paid Parental Leave 
  • $800 Annual Recreation Benefit 
  • Tuition Reimbursement 
  • Loan programs for: Ski Passes, Electric Vehicles, and Computers 
  • Relocation Assistance (if applicable) 

All District employees must possess a valid Colorado Driver License and submit to a pre-employment drug screen, extensive background check including an educational verification, and reference check. For a full position description including work environment and physical demands, emailerwsdjobs@erwsd.org.  
All applicants must apply online atwww.erwsd.orgbyAugust 5, 2026. 

We are an Equal Opportunity Employer 

We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, genetic information or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.