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Soil Data Scientist Jobs (NOW HIRING)

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Soil Scientist - Field Crew Lead

Logan, UT · On-site

$25/hr

We draw on our extensive experience designing ecological studies, collecting data, and analyzing ... The Soil Scientist will oversee field operations for soil carbon and soil health projects ...

ServiTech, Inc.

SOIL SAMPLER

Cedar Rapids, IA · On-site

This position will play a crucial role in collecting soil samples for scientific research purposes ... Completes data entry on a computer for generating sample labels, complete lab submittal sheets, and ...

John Deere

$15 - $40/hr

Domain knowledge in Crop Science, Soil Science, or Agronomics * Applied knowledge of OR algorithms * Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science At ...

John Deere

$15 - $40/hr

Domain knowledge in Crop Science, Soil Science, or Agronomics * Applied knowledge of OR algorithms * Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science At ...

Apex Companies

Scientist 1

Novi, MI

Your Responsibilities as a Scientist 1: * Collect soil, water, air, and/or building material samples. * Gather, analyze, and interpret data. * Input data into template reports. What we're looking for ...

Apex Companies

Scientist 1

Novi, MI · On-site

Your Responsibilities as a Scientist 1: * Collect soil, water, air, and/or building material samples. * Gather, analyze, and interpret data. * Input data into template reports. What we're looking for ...

Usmd

Assistant Professor of Soil Science

Princess Anne, MD · On-site

$80K - $95K/yr

... data science - to address challenges in food, energy, and environmental systems. UMES is on the Delmarva Peninsula between the Atlantic Ocean and Chesapeake Bay, with the major metropolitan areas of ...

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How much do soil data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for soil data scientist 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 is a soil data scientist?

Soil Data Scientists are professionals who analyze and interpret large sets of soil-related data to help improve agricultural practices, environmental management, and land use planning. They use advanced analytical techniques, including machine learning and statistical modeling, to extract insights from soil samples, satellite imagery, and other sources. Their work supports decision-making in areas such as crop yield optimization, soil health assessment, and sustainable land management. Soil Data Scientists often collaborate with agronomists, ecologists, and farmers to develop data-driven solutions for real-world challenges.

How does a soil data scientist typically collaborate with agronomists and field technicians?

Soil Data Scientists frequently work alongside agronomists and field technicians to ensure that data collection and analysis align with real-world agricultural needs. Collaboration often involves designing sampling strategies, interpreting field data, and translating complex soil analytics into actionable insights for crop management. Effective communication skills are essential, as Soil Data Scientists must bridge the gap between data models and practical field recommendations, ensuring that their analyses drive meaningful improvements in soil health and productivity.

What are the key skills and qualifications needed to thrive as a soil data scientist, and why are they important?

To thrive as a Soil Data Scientist, you need a solid background in soil science, data analysis, and statistical modeling, often supported by a degree in environmental science, agronomy, or a related field. Familiarity with programming languages (such as Python or R), GIS software, and machine learning platforms, as well as experience with soil databases, are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to diverse stakeholders are critical soft skills. These competencies are essential for accurately analyzing soil data, informing land management decisions, and advancing sustainable agricultural practices.

What cities are hiring for Soil Data Scientist jobs?

Cities with the most Soil Data Scientist job openings:

What states have the most Soil Data Scientist jobs?

States with the most job openings for Soil Data Scientist jobs include:

What are popular job titles related to Soil Data Scientist jobs?

For Soil Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Soil Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Innovation & Digital Factory

Akron, OH • On-site

FirstEnergy Corp.
Utilities • 10K+ employees
Learn more about FirstEnergy Corp.external

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

FirstEnergy rating

7.8

Company rating: 7.8 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

Job description


FirstEnergy at a Glance
FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a generating fleet with a total capacity of more than 3,600 megawatts.
About the Opportunity
As a Data Scientist at FirstEnergy you will work with other data scientists and data engineers using machine learning, artificial intelligence, and statistical methods to answer critical questions and produce actionable insights for business units. A successful candidate will work on agile scrum squads and should be excited by digital enablement, innovation and new ideas, and have a passion for learning. The challenges FirstEnergy faces and the data that will help build solutions are physical, tangible, realities; voltages going across transformers, the soil our poles sit in, the proximity of our wires to trees. Applicants should be ready to challenge themselves to solve problems from data of varying type, quality, and source, so that our solutions have a meaningful impact on our customers and employees.
Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone:
  • Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences.
  • Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers.
  • Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system.
  • Vegetation: Analyze geospatial data and imagery to predict, forecast, and aggregate information to support the efforts of forestry specialists to improve grid reliability.

Responsibilities include:
  • Develop Data Science products in an agile scrum squad, collaborating with Data Engineers, other Data Scientists and business stakeholders
    • Build and test machine learning algorithms, forecasting/predictive algorithms, and optimization models
    • Transform and model a variety of data such as tabular, text, streaming, geospatial and large volume
    • Perform hands-on text, quantitative, statistical, financial, and operational analysis
    • Deepen understanding of utilities structure and operations to answer the right question more effectively
    • Identify new data sources and evaluate emerging technologies for data discovery and model development
    • Collaborate with technical staff and peers to implement and deploy scalable data solutions
    • Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

Qualifications
  • Bachelor's degree in quantitative discipline such as Computer Science, Machine Learning, Applied Statistics, Mathematics; Masters, PhD are beneficial
  • Experience with machine learning models such as decision trees, random forests, and neural networks and evaluation metrics like F1 score and ROC AUC
  • Experience in Python programming language, familiarity with Apache Spark beneficial
  • Experience with linear regression modelling and other statistical techniques such as t-tests, confidence intervals
  • Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions
  • Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
  • Ability to guide other colleagues and lead research efforts in a cross-functional team
  • Experience in building positive relationships and working with peers cross-functionally, demonstrating teamwork and collaboration
  • Willingness to travel throughout organization and service territory and work extended hours, as required

Benefits, Compensation & Workforce Diversity
At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract.
Unable to sponsor or transfer H-1B visas at this time.
Safety
Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards.
Position Classification
Exempt
FirstEnergy Human Resources Team

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