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Ecology Data Science Jobs (NOW HIRING)

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... ecology, and create high-quality digital life experiences for players. Level Infinite is Tencent ... A passion for applying mathematical models and computer science technology to data-driven decision ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... ecology, and create high-quality digital life experiences for players. Level Infinite is Tencent ... A passion for applying mathematical models and computer science technology to data-driven decision ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... ecology, and create high-quality digital life experiences for players. Level Infinite is Tencent ... A passion for applying mathematical models and computer science technology to data-driven decision ...

Experience integrating computational approaches (e.g. data science, machine learning, probability ... ecological or evolutionary research. Preferred Qualifications: * Expertise in marine biology.

Wetland Ecologist

Baltimore, MD · Hybrid

$65K - $90K/yr

... Science, Ecology, Biology, Geology, Hydrology, or a related field • Training in forest, wetland, and/or stream assessment • Proficiency in GIS software and ecological data analysis tools • ...

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Ecology Data Science information

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$37.5K

$122.7K

$196.5K

How much do ecology data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for ecology 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 is an Ecology Data Science job?

An Ecology Data Science job involves using data analysis, statistical modeling, and programming to study environmental and ecological systems. Professionals in this field collect, process, and interpret large datasets related to biodiversity, climate change, conservation, and ecosystem health. They often work with GIS mapping, machine learning, and predictive models to support ecological research and decision-making. These roles are found in academia, government agencies, non-profits, and private organizations focused on environmental sustainability.

What are the key skills and qualifications needed to thrive in the Ecology Data Science position, and why are they important?

To excel in Ecology Data Science, you should possess a strong background in ecology or environmental science, coupled with expertise in statistics, programming (e.g., R or Python), and data analysis. Familiarity with GIS software, remote sensing tools, and database management systems is routinely required, and certifications in data science or ecological analysis can be advantageous. Outstanding problem-solving, communication, and teamwork skills help professionals interpret results and collaborate with multidisciplinary stakeholders. These combined competencies are crucial for generating actionable insights from ecological data and guiding environmental decision-making.

What does a typical day look like for someone working in Ecology Data Science?

A typical day for an Ecology Data Scientist often involves collecting and cleaning large datasets from field observations or environmental sensors, analyzing complex ecological trends using statistical models, and visualizing findings to inform conservation or policy decisions. You may also collaborate closely with ecologists, field technicians, and GIS specialists to ensure data accuracy and interpretation. Many roles offer a mix of independent analysis and team meetings to discuss project objectives or present research outcomes. This dynamic environment requires adaptability and strong communication skills to contribute effectively to interdisciplinary initiatives.
What cities are hiring for Ecology Data Science jobs? Cities with the most Ecology Data Science job openings:
What states have the most Ecology Data Science jobs? States with the most job openings for Ecology Data Science jobs include:

$66.97K - $72.01K/yr

Other

Posted 7 days ago


Job description

Project Data Scientist, Community Science

Regular Full Time

The Natural History Museums of Los Angeles County (NHMLAC) include the Natural History Museum in Exposition Park and the La Brea Tar Pits in Hancock Park. They operate under the collective vision to inspire wonder, discovery, and responsibility for our natural and cultural worlds. The museums hold one of the world's most extensive and valuable collections of natural and cultural history—more than 35 million objects—used for groundbreaking scientific and historical research, and community engagement. From NHM's opening in 1913 as the very first museum in Los Angeles, the organization has entered an exciting new era of transformation with building projects and campaigns, exhibitions, community outreach and impactful audience engagement.

NHMLAC's values—adventurous, inclusive, authentic, and intentional—guide our work and visitor experience, committing us to foster a welcoming, safe and respectful workplace environment where innovation and collaboration thrive and every team member can contribute their unique perspectives to advance our mission. NHMLAC seeks candidates who are aligned with our values and priorities, and are passionate about connecting science with the vibrant and diverse communities we serve throughout Los Angeles.

The Natural History Museum of Los Angeles County is seeking a Project Data Scientist for our Research & Collections, Community Science department. The Project Data Scientist will lead data management, analysis, and community-centered data practices across multiple applied, interdisciplinary research projects focused on human-wildlife interactions, biodiversity monitoring, One Health, and environmental justice. Cultivate relationships with community partners and community scientists via supporting data access, data sovereignty, and capacity-building. Produce and disseminate novel research findings via peer-reviewed publications and both academic- and public-facing outreach.

Responsibilities for this position include, but are not limited to:

  • Develop and maintain data systems, workflows, and documentation across projects in the Community Science office (~30% of time).
  • Clean, integrate, and analyze datasets regarding ecology, human-wildlife interactions, community science, and environmental justice (~25% of time).
  • Lead and contribute to peer-reviewed publications and research outputs (~15% of time).
  • Collaborate with community partners on data governance, access, and sovereignty, including creating dashboards, summaries, and highlights for community partners (~10% of time).
  • Support the creation, revision, streamlining, and improvement of research projects led by the Community Science team (~10% of time).
  • Create data visualizations for scientific and community audiences (~5% of time).
  • Develop and write novel grant and external funding proposals, under the supervision of the Assistant Curator of Community Science (~5% of time).
  • Support training, mentorship, and capacity-building within team and community, including mentoring and potentially collaborating with graduate students and post-baccalaureate students on research projects related to human-wildlife interactions, community science, participatory science, and biodiversity monitoring (~5% of time).

This position has the following requirements:

  • Ph.D. in a relevant field OR a Master's degree with strong, proven data science experience. Examples of relevant fields are environmental science, environmental justice, ecology, conservation science, environmental education, biology, environmental policy, etc.
  • Record of publishing peer-reviewed papers.
  • Expertise in data management and analysis, including conducting GIS analyses and/or conducting other ecological analyses.
  • Proficiency in R, Python, and/or similar tools.
  • At least 2 years of experience working with community members, including mentoring students. Experience with community-engaged research is preferred.
  • Must have led at least one research project from start to finish (i.e., resulting in a peer-reviewed publication or completed thesis) in a relevant field.
  • A demonstrated excellence in oral and written communication.
  • Passionate about communicating science to a diversity of public audiences.
  • Excellent collaboration and project management skills, including working with networks of diverse collaborators and participants.
  • Bilingual in Spanish and English highly preferred but not required.

NHMLAC is a nonprofit organization committed to fostering a workplace and public environment that uplifts Kindness, Fairness, Openness and Dignity. These values extend not only to our employees, but to our guests, local community, and organizational partners. If you are interested in this position, we encourage you to apply!

The salary range for this position is $66,972-$72,013 based on experience plus excellent benefits. This is a Full-Time Regular, Exempt position. This position is primarily on-site, in person at the museum.

A cover letter, current resume or CV, and list of 3-4 references are required for all applicants. Review of applications begins immediately and continues until the position is filled. Interested candidates please visit www.nhmlac.org/careers-our-museums and click the link of the position for which you are interested or go directly to the online application.