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Remote Conservation Data Science Jobs in California

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

... of data science experience with demonstrable impact on business-critical forecasting and ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Requirements: * Bachelor's degree in computer science, information systems, data science ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Showing results 41-60

Remote Conservation Data Science information

What are the key skills and qualifications needed to thrive as a remote conservation data scientist?

To thrive as a Remote Conservation Data Scientist, you need expertise in data analysis, ecological modeling, and a strong background in environmental science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python or R, GIS tools (such as ArcGIS or QGIS), and relevant data management systems is essential. Excellent problem-solving, communication, and collaboration skills are crucial for translating data insights into actionable conservation strategies with remote teams. These abilities enable effective data-driven decision-making and foster impactful conservation outcomes across diverse and distributed environments.

How does a remote conservation data scientist typically collaborate with field teams and stakeholders?

Remote conservation data scientists often rely on digital communication tools—such as video calls, shared databases, and project management platforms—to work closely with field researchers, conservation managers, and external partners. While they may not be physically present at field sites, they regularly interpret, analyze, and visualize data collected on the ground, providing actionable insights for ongoing projects. Regular virtual meetings are common for aligning on project goals, discussing data quality, and adapting analytical approaches based on field realities. This collaborative structure ensures that data-driven recommendations are both relevant and grounded in real-world conservation challenges.

What is a remote conservation data scientist?

A Remote Conservation Data Scientist is a professional who analyzes environmental data to support conservation efforts, often working from a location outside of a traditional office or onsite fieldwork setting. They use data science techniques such as statistical analysis, machine learning, and geographic information systems (GIS) to interpret data related to biodiversity, ecosystems, wildlife populations, and climate change. Their work helps inform conservation policies, resource management, and strategies to protect natural habitats. Remote work in this field relies heavily on digital collaboration tools and access to large datasets. These scientists often partner with non-profits, government agencies, or research organizations to tackle global conservation challenges.
What are the most commonly searched types of Conservation Data Science jobs in California? The most popular types of Conservation Data Science jobs in California are:
What job categories do people searching Remote Conservation Data Science jobs in California look for? The top searched job categories for Remote Conservation Data Science jobs in California are:
What cities in California are hiring for Remote Conservation Data Science jobs? Cities in California with the most Remote Conservation Data Science job openings:
Infographic showing various Remote Conservation Data Science job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Data Scientist

Federato Technologies

San Francisco, CA • Remote

$160K - $200K/yr

Full-time

Re-posted 4 days ago


Job description

Company Description

Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent VC's in the Bay Area. We build software to help large insurance carriers improve their portfolio optimization. Our goal is to close down the $150B insurance gap by making insurance affordable again. The initial algorithms used in our product spun out off the founders published research in Reinforcement Learning, Statistics, and Optimization.

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. 

This is a remote position, but we do have an office in San Fransisco.

Job Description

You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team!

Qualifications
  • Demonstrated interest in engineering for impact

  • 2+ years of hands-on industry experience with machine learning and optimization models

  • 2+ years of experience with model deployment, monitoring and version control

  • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree.

  • Comfortable with Python, Flask/Django, Pandas and Numpy

  • Demonstrated ability to pick up new technologies quickly and learn on the spot

Additional Information

Pay Range: $160k - $200k