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Manager Conservation Data Science Jobs (NOW HIRING)

Compile, analyze, and manage rangeland monitoring data; produce GIS-based maps * Prepare technical ... Bachelor's degree in Range Science, Rangeland Ecology, Natural Resource Management, or a closely ...

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved ...

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

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Manager Conservation Data Science information

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$31K

$97.1K

$172K

How much do manager conservation data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager conservation data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer tend to have the highest salaries, often exceeding $150,000 annually and reaching over $200,000 with experience and industry specialization. These positions typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.

Can data scientists make $300k?

Data scientists, including those in conservation data science, can potentially earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and strong domain expertise. However, such salaries are typically achieved in large organizations, tech companies, or through leadership roles, and are less common for entry-level positions. Compensation varies based on location, company size, and individual qualifications.

How much do data scientist managers make?

Data scientist managers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. Their compensation often includes leadership responsibilities, advanced analytics skills, and familiarity with tools like Python, R, or SQL.

What is the highest paying job in wildlife conservation?

In wildlife conservation, senior roles such as Conservation Director or Chief Conservation Officer tend to be the highest paying, often earning six-figure salaries. These positions typically require extensive experience, leadership skills, and advanced degrees in environmental science or related fields.
More about Manager Conservation Data Science jobs
What cities are hiring for Manager Conservation Data Science jobs? Cities with the most Manager Conservation Data Science job openings:
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 Manager Conservation Data Science jobs? States with the most job openings for Manager Conservation Data Science jobs include:
Infographic showing various Manager Conservation Data Science job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, 3% Temporary, and 1% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Senior Conservation Data Analyst/Engineer

Senior Conservation Data Analyst/Engineer

World Wildlife Fund, Inc.

Washington, DC โ€ข On-site

$97K - $122K/yr

Full-time

Posted 13 days ago


Job description

Company Description

Since our founding in 1961, WWF has been committed to protecting nature and its resources. We understand that nature is our planetโ€™s greatest asset, intrinsically linked to human survival โ€” and that it needs our help. Our work to reverse nature loss and conserve biodiversity has never been more urgent.

As the worldโ€™s leading conservation organizationโ€”with offices on six continents and in nearly 100 countriesโ€”our global reach includes the worldโ€™s most critical forests, river systems, wetlands, savannas, and ocean habitats. By conserving these places and supporting sustainable livelihoods within them, we can keep the Earth in balance for people, wildlife, and the planet.

Job Description

Major Functionโ€ฏย 

Help WWF revolutionize the way we use data and technology toโ€ฏidentifyโ€ฏconservation opportunities and measure andโ€ฏmonitorโ€ฏthe impacts of our conservation efforts. Theย Seniorย Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyze and maintain environmental and socio-economic data including, but not restricted to, WWF acquired data, government supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data.ย Theย Seniorย Conservation Data Analyst/Engineer will have broad experience with statistics, data visualization, data management, cloud-based data analysis infrastructures, and current data delivery mechanisms.โ€ฏUnderstanding ofโ€ฏconservation issues on global and local scales is an asset, as is experience working with multiple organizations to harmonize data and data management approaches. The key roles of the data analyst/engineer are to analyze and visualize existing data, work withย WWFย teams (including Global Science)โ€ฏin developing newย analysis approaches, implementย methodologies, andโ€ฏdevelop andย maintainย data storageย and management systems, analysisย pipelines,ย and visualization platforms.โ€ฏThisย position willย be responsible forย contributing to the advancement of automated and semi-automated approaches forย efficient and responsiveย geospatial data processingย andย analysesย forย key conservation metrics.ย ย 

Key Responsibilitiesโ€ฏย 

  • Supportย the development and application of data analysis and visualization methodologiesย and pipelinesย with the WWFโ€ฏscientistsโ€ฏand program managers.โ€ฏย 

  • Manage product and projects to deliver keyย outputs includingย the Conservation Navigatorย 

  • Perform analyses for select projects; apply advanced statistical and spatial analysis and programming asย needed.ย 

  • Manage GIS software licensing and distribute software licenses to all users in the Network.โ€ฏโ€ฏย 

  • Coordinate with software vendors to obtain and renew licenses and to handle support requests.โ€ฏย 

  • Maintain data repositories, including GIS servers (e.g., Google Earth Engine, ArcGIS Enterprise, and ArcGIS Online) by keeping software up to date. Maintain knowledge of other data platforms, including cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-based relational databases for use as needed.โ€ฏย 

  • Develops andย maintainsย data storage management systems,ย analysisย pipelines, and visualization platforms toย supportย conservation data needs.ย 

  • Collaborates with WWF teams to develop and implement new analytical approaches and methodologies.ย 

  • Analyzes and visualizes environmental and socioeconomic data to support decision-making and conservation outcomes.ย 

  • Evaluates and appliesย newย developments in technology, data analysis and open-source tools for analysis and data visualization (e.g.โ€ฏD3.js, QGIS, AI).โ€ฏย 

  • Other duties as assigned.โ€ฏย 

Qualifications

Key Competenciesย ย 

  • Analytical thinkingย 

  • Data Communication and Visualizationย 

  • Project ownershipย 

  • Problem solving in complexityย 

Skills and Abilitiesโ€ฏย 

  • 6ย yearsย of professional experience in data analysis or data engineering, orย 3ย years with an advanced degree in GIS, geography, computer science, data science, environmental science (with a quantitative focus), or a related field. Demonstrated experience applying analytical or engineering skills in a geospatial context is strongly preferred.ย 

  • Proficiencyย inย dataย Python and/or Rย for data analysis and automation.ย Working knowledge of JavaScript for web mapping applications.ย ย 

  • In day-to-day work,ย abilityย to routinely automate geospatial analyses, data processing, and reporting using tools such as ArcGIS, QGIS, Python, or others, rather than relying on manual workflows.ย 

  • Working knowledge of cloud-basedย platforms forย dataย storage,ย processing,ย andย analysis.โ€ฏย 

  • Comfort using AI-assisted workflows, including large language models (LLMs) or AI coding tools to help write code, automate repetitive geospatial tasks, or accelerate data processing pipelines. Experience with AI tools in an ArcGIS or Python environment is a plus, curiosity and a willingness to grow with these tools is importantย 

  • Experience with conservation,โ€ฏbiodiversity,โ€ฏor ecology projects is an asset.โ€ฏย 

  • Exposure toย and familiarity withย environmental or spatial modeling concepts and familiarity with preparing model inputs and interpreting outputs.ย Solid project management skills with the ability to produce high quality work under time constraints.โ€ฏโ€ฏย 

  • Proven ability to work collaboratively in a matrixed team environment.โ€ฏโ€ฏย 

  • Excellent interpersonal skills requiring knowing when to use courtesy,โ€ฏtactโ€ฏand/or diplomacy to effectively communicate with all constituents.โ€ฏโ€ฏย 

  • Ability toโ€ฏdemonstrateโ€ฏintegrity in deliverables, behavior, and demeanor.โ€ฏโ€ฏย 

  • Ability to show respect for the organization, the work, the team, and self.โ€ฏโ€ฏย 

  • Committed to building and strengthening a culture of inclusion within and across teams.โ€ฏโ€ฏย 

  • Identifiesย and aligns with WWFโ€™s core values:ย 

    COURAGEย โ€“ Weย demonstrateย courage through our actions, we work for change whereย itโ€™sย needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home.ย 

    INTEGRITY โ€“ย Weย liveย the principles we call on others to meet. We act with integrity,ย accountability,ย and transparency, and we rely on facts and science to guide us and to ensure that we learn and evolve.ย 

    RESPECTย โ€“ We honor the voices and knowledge of people and communities that we serve, and we work to secure their rights to a sustainable future.ย 

    COLLABORATION โ€“ย We deliver impactย atย the scale of the challenges we face through the power of collective action and innovation.ย 


Additional Information

Due to the high volume of applications we receive, we regret that we are unable to respond to phone inquiries.

Please note: Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.ย ย 

Relocation is not provided for this position.

World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, veteran status, or any other characteristic protected under applicable law.