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Entry Level Conservation Data Science Jobs (NOW HIRING)

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

STI

Data Entry Support

Nashville, TN · On-site

The mission of the GIS Program is to empower the Bureau of Parks & Conservation to make smart, data ... Science, or a related field and 2 years of relevant work experience is required. Qualifying ...

STI

Data Entry Support

Nashville, TN · On-site

The mission of the GIS Program is to empower the Bureau of Parks & Conservation to make smart, data ... Science, or a related field and 2 years of relevant work experience is required. Qualifying ...

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Entry Level Conservation Data Science information

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$37.5K

$122.7K

$196.5K

How much do entry level conservation data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for entry level conservation data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects can an Entry Level Conservation Data Scientist expect to work on, and how do they typically contribute to larger conservation efforts?

As an Entry Level Conservation Data Scientist, you can expect to work on projects such as analyzing wildlife population data, mapping habitat changes using GIS, and modeling the impacts of environmental policies. Your work often involves managing and cleaning ecological datasets, running statistical analyses, and visualizing results to support conservation decisions. You’ll typically collaborate with ecologists, field researchers, and policy teams to translate data insights into actionable conservation strategies. This role is a great starting point for learning how data-driven approaches directly inform and improve conservation practices.

What is entry level conservation data science?

Entry level conservation data science is a field where professionals use data analysis and computational tools to help solve problems in environmental conservation. These roles typically involve collecting, cleaning, and analyzing data related to wildlife, ecosystems, and natural resources. Entry-level positions may include tasks like managing databases, visualizing geographic information, and supporting research projects. This field is ideal for recent graduates with skills in data science, ecology, or environmental science who want to contribute to conservation efforts.

What are the key skills and qualifications needed to thrive as an Entry Level Conservation Data Scientist, and why are they important?

To thrive as an Entry Level Conservation Data Scientist, you need a background in ecology or environmental science, proficiency in data analysis, and experience with statistics, usually supported by a relevant bachelor's degree. Familiarity with programming languages like R or Python, data visualization tools, and GIS software is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and share findings clearly. These competencies are crucial for generating actionable insights from complex environmental data to support conservation decision-making.

What is the difference between Entry Level Conservation Data Science vs Entry Level Environmental Data Analyst?

AspectEntry Level Conservation Data ScienceEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; basic programming skillsBachelor's in Environmental Science, Data Analysis, or related field; proficiency in data tools
Work EnvironmentFieldwork, research institutions, conservation organizationsResearch labs, government agencies, environmental consultancies
Employer & Industry UsageConservation projects, wildlife agencies, NGOsEnvironmental impact assessments, policy analysis, sustainability firms

While both roles involve analyzing environmental data, Conservation Data Scientists focus on applying data science techniques to conservation efforts, often combining field data with advanced analytics. Environmental Data Analysts typically handle data interpretation for environmental reports and policy. The roles overlap in skills and industry but differ in focus and application.

More about Entry Level Conservation Data Science jobs
What cities are hiring for Entry Level Conservation Data Science jobs? Cities with the most Entry Level 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 Entry Level Conservation Data Science jobs? States with the most job openings for Entry Level Conservation Data Science jobs include:
What job categories do people searching Entry Level Conservation Data Science jobs look for? The top searched job categories for Entry Level Conservation Data Science jobs are:
Entry Level Conservation Data Science jobs near you
Infographic showing various Entry Level 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 $122,738 per year, or $59 per hour.
Sales Data Science & AI Enablement Analyst

Sales Data Science & AI Enablement Analyst

Vertiv Group Corp.

Westerville, OH • On-site

Full-time

Posted 9 days ago

Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

331st of 430 rated machine equipment manufacturers

Job description


POSITION SUMMARY
  • The Sales Data Science & AI Enablement Analyst is an entry-level role designed for early-career talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AI-enabled solutions for Sales Operations. Under the guidance of senior team members, the analyst contributes to model development, data preparation, feature engineering, and quality assurance, while learning Vertiv's analytics platforms, engineering standards, and governance practices.

RESPONSIBILITIES
  • Advanced Analytics & AI Support
    • Assist in developing, testing, and refining analytics and AI models for Sales use cases.
    • Contribute to exploratory data analysis, feature engineering, and model evaluation.
    • Document model logic, assumptions, and testing results in alignment with team standards.
  • Data Preparation & Engineering Support
    • Prepare, clean, and transform datasets using Python, SQL, and Snowflake.
    • Support integration of new data sources into analytical workflows.
    • Build reusable scripts, templates, and basic automation components under supervision.
  • Platform & Tooling Enablement
    • Learn and apply Vertiv's analytics technology stack, including Python, Git, Linux environments, Snowflake, Matillion, Sigma, and Power BI.
    • Follow engineering standards for version control, documentation, and code quality.
    • Support senior team members in maintaining shared analytical assets, semantic layers, and reusable patterns.
  • Quality, Testing & Governance
    • Execute validation checks and contribute to analytics quality assurance processes.
    • Identify anomalies or data quality issues and escalate appropriately.
    • Help ensure analytics deliverables meet reliability and governance expectations.
  • Cross-Team Collaboration
    • Collaborate with Sales analytics teams to understand data requirements and support analytical solution development.
    • Participate in code reviews, working sessions, and technical discussions.
    • Communicate findings clearly and professionally to team members and partners.

QUALIFICATIONS
  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
  • 0-3 years of foundational experience with Python, SQL, data science, and machine learning concepts (coursework, internships, or projects).
  • Familiarity with version control (Git) and data platforms (Snowflake, or similar).
  • Strong analytical mindset with curiosity and willingness to learn enterprise analytics technologies.
  • Demonstrated attention to detail and commitment to producing high-quality work.
  • Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.

PHYSICAL & ENVIRONMENTAL DEMANDS
  • No special physical requirements.

TIME TRAVEL REQUIRED
  • No travel required.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
  • Customer Focus
  • Operational Excellence
  • High-Performance Culture
  • Innovation
  • Financial Strength

OUR BEHAVIORS
  • Own It
  • Act With Urgency
  • Foster a Customer-First Mindset
  • Think Big and Execute
  • Lead by Example
  • Drive Continuous Improvement
  • Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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