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Entry Level Conservation Data Science Jobs (NOW HIRING)

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

CEHMM

Field Technician - Conservation

Milnesand, NM · On-site

$22 - $27/hr

Enter, organize, and manage field data in spreadsheets, databases, or GIS * Assist with the ... Other duties as assigned This is an entry level position; we are prepared to train the right ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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Entry Level Conservation Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 5, 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 does an entry level conservation data scientist work on?

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?

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 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 68% Full Time, 29% Part Time, 2% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Procter & Gamble

Cincinnati, OH • On-site

$85K - $122K/yr

Full-time

Re-posted 18 days ago

Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

68th of 536 rated manufacturers

Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education: Pursuing or has graduated with a Master’s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments.
  • Communication: Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
  • DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. 

Procter & Gamble participates in e-verify as required by law. 

Qualified individuals will not be disadvantaged based on being unemployed. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837

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