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Remote Conservation Data Science Jobs in Columbus, OH

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Remote Conservation Data Science information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

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

As of Jun 16, 2026, the average yearly pay for remote conservation data science in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Conservation Data Scientist, and why are they important?

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 Columbus, OH? The most popular types of Conservation Data Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Conservation Data Science jobs? Cities near Columbus, OH with the most Remote Conservation Data Science job openings:
Remote Conservation Data Science jobs near you
Infographic showing various Remote Conservation Data Science job openings in Columbus, OH as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $118,553 per year, or $57 per hour.
Data Scientist

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Posted 15 days ago

Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking)
Location: Columbus, OH (Remote flexibility) | Job Type: C2C
About the Role
Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment.
Responsibilities
- Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data.
- Conduct large-scale experimentation and build data-driven models to answer strategic business questions.
- Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence.
- Collaborate with business segments to identify opportunities for optimization and customer value delivery.
- Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership.
- Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects.
- Stay current on new technologies and tools to continuously improve analytics capabilities and solutions.
- Perform additional analytics duties as assigned to support organizational goals.
Required Skills and Experience
- Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
- Strong analytical and statistical expertise, comfortable working with predictive models and large datasets.
- Experience communicating technical findings to business partners and non-technical audiences.
- Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science.
- Hands-on experience with R, RStudio, SAS, and advanced statistical software.
Preferred Skills
- Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference.
- Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines.
- Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping.
- Background in financial services or consumer-centric organizations.
- Experience with data visualization tools (Tableau, Adobe Analytics/Target).
Benefits
- Work alongside a talented, collaborative, and centralized team of data science professionals.
- Influence strategic decisions and drive growth at an enterprise level.
- Exposure to cutting-edge analytics tools, technologies, and methodologies.
- Fast-paced, dynamic environment with significant opportunities for learning and professional advancement.
- Impactful projects with visibility to senior leadership and cross-functional partners.
How to Apply
If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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