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Remote Conservation Data Science Jobs in Hoover, AL

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for

Varsity Tutors

Earth Science Tutor

Birmingham, AL · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Earth Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Location(s) Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-NJ, Remote-OH, Remote-PA, Remote-RI, Remote-VA Details

Varsity Tutors

College Physics Tutor

Birmingham, AL · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online College Physics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

Varsity Tutors

Life Sciences Tutor

Birmingham, AL · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Life Sciences tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

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All JobsConservation Data Science JobsRemote Conservation Data Science JobsRemote Conservation Data Science Jobs in Hoover, AL

Remote Conservation Data Science information

See Hoover, AL salary details

$33.1K

$108.3K

$173.4K

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

As of Sep 12, 2026, the average yearly pay for remote conservation data science in Hoover, AL is $108,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $120,000.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Remote Conservation Data Science jobs in Hoover, AL look for?

The top searched job categories for Remote Conservation Data Science jobs in Hoover, AL are:

Remote Conservation Data Science jobs near you

Data Scientist (Remote)

Birmingham, AL • Remote

Talon Hiring Solutions
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Talon Hiring Solutionsexternal

$200K - $225K/yr

Full-time

Posted 2 days ago

New

Job description

Talon Hiring Solutions has a client that is looking for a Data Scientist to join the Data and Analytics Team.  This team owns the development of insights from extraction that power decision-making.  The role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems.  You will own the statistical modeling and feature engineering that exists in the data.  Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

*This role is fully remote with some travel to the home office in Birmingham, AL*

What You'll Do
  • Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
  • Transform complex data into actionable insights that support business and customer decisions.
  • Develop and maintain features and training datasets within Snowflake and dbt.
  • Use Python and SQL to perform feature engineering, statistical analysis, and machine learning.
  • Validate and monitor model performance using appropriate metrics such as precision, recall, and AUC.
  • Deliver model outputs that can be integrated into BI tools and downstream platforms.
  • Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
  • Translate ambiguous business questions into well-defined modeling and analytics requirements.
  • Document models, features, assumptions, data lineage, experiments, and results to ensure solutions are reliable and reproducible.
  • Track and manage experiments using MLflow or similar tools.
  • Continuously improve data science, feature engineering, and predictive modeling capabilities.
What You'll Bring
  • 4+ years of hands-on experience in Data Science, Machine Learning, Analytics, or a related field.
  • Proven experience building and deploying predictive models in a business environment.
  • Strong Python skills, including experience with pandas, scikit-learn, and related data science libraries.
  • Strong SQL skills and experience working with large or complex datasets.
  • Experience with classification and regression modeling and model evaluation techniques.
  • Experience working with Snowflake or a similar cloud data platform.
  • Experience with Git, version control, code reviews, and standard software development practices.
  • Experience with feature engineering and building datasets for machine learning models.
  • Ability to turn ambiguous business problems into practical, data-driven solutions.
  • Strong communication skills and the ability to explain technical findings to non-technical audiences.
  • Strong documentation and organizational skills.
  • A collaborative, curious, and results-oriented mindset.
  • Experience in retail, CPG, consumer technology, or consumer hardware.
  • Experience with Snowpark, Snowflake ML Functions, dbt, or MLflow.
  • Experience working with feature stores.
  • Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.