2

Remote Conservation Data Science Jobs in Indiana

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Degree in Statistics, Data Science, Computer Science, Economics, or related field. * 2+ years of ...

$20/hr

Ability to work independently in a remote environment Preferred Qualifications * Background in linguistics, computer science, or data science * Experience contributing to AI training or NLP projects

This is a remote position Travel: Up to 25 percent, with heavier travel expected during onboarding ... Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer ...

New

Earth Science Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

Earth Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

next page

Showing results 1-20

Remote Conservation Data Science information

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 cities in Indiana are hiring for Remote Conservation Data Science jobs? Cities in Indiana with the most Remote Conservation Data Science job openings:

Data Analysis / Analytics Expert

Recruitment Room

Remote

$60 - $90/hr

Contractor

Posted 16 days ago


Job description

Data Analysis / Analytics Expert

Hourly Contract Remote

Compensation: $60$90 per hour

Overview

We are seeking experienced Data Analysts to transform raw data into actionable insights. This role combines statistical rigor, visualization, and structured reporting to support decision‑making across diverse industries. You will contribute to projects that require analytical precision, clear communication, and collaboration with cross‑functional teams.

Key Responsibilities
  • Apply statistical tools and models to extract meaningful insights.

  • Develop visualizations that communicate findings clearly to stakeholders.

  • Evaluate datasets for accuracy, completeness, and reliability.

  • Provide structured reports with actionable recommendations.

  • Identify trends and patterns that inform business or research strategies.

  • Collaborate remotely with engineers, researchers, and business teams.

Ideal Qualifications
  • Degree in Statistics, Data Science, Computer Science, Economics, or related field.

  • 2+ years of professional experience in data analysis or business intelligence.

  • Proficiency in SQL, R, Python, and visualization tools (Tableau, Power BI, matplotlib).

  • Strong analytical reasoning and attention to detail.

  • Clear written and verbal communication skills.

Project Timeline
  • Start Date: Immediate

  • Duration: As required

  • Commitment: Part‑time, 20+ hours per week

Application Onboarding
  • Submit your resume and application form.

  • Complete a 30‑minute interview covering background, technical expertise, and motivations.

  • Receive onboarding details within a few days.

Contract Payment Terms
  • Independent contractor engagement.

  • Fully remote role, flexible schedule.

  • Weekly payments via Stripe or Wise based on services rendered.

  • Projects may be extended, shortened, or concluded early depending on needs and performance.

  • Please note: Sponsorship for H1‑B or STEM OPT visas is not available.

About the Work

This is an opportunity to leverage your analytical expertise in shaping systems and strategies that rely on data‑driven insights. You will contribute to projects that combine statistical rigor with practical application, ensuring clarity, accuracy, and impact in decision‑making.