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Agriculture Data Science Jobs in Raleigh, NC (NOW HIRING)

Adecco

Plant Sciences Research Technician

Durham, NC

$21.09/hr

Familiarity with research documentation, data collection, and regulated work environments. What We're Looking For * Passion for plant science and agricultural research. * Strong work ethic and ...

NCSU

Research Technician - Poultry Science

Raleigh, NC

$15.75 - $21.50/hr

... College of Agriculture and Life Sciences. The FMEU focuses on teaching, developing, and ... Experience with data collection and input TESTING CURRENT POSTING, TEST OK, DENIS. Required License ...

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All JobsAgriculture Data Science JobsAgriculture Data Science Jobs in Raleigh, NC

Agriculture Data Science information

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$21.7K

$95.4K

$191.9K

How much do agriculture data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for agriculture data science in Raleigh, NC is $95,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,079.00 and $141,120.00 per year, depending on experience, location, and employer.

What is an agriculture data science job?

An Agriculture Data Science job involves applying data science techniques to agricultural data to optimize farming practices, improve crop yields, and enhance sustainability. Professionals in this field analyze data from sensors, satellite imagery, weather patterns, and soil conditions to provide actionable insights. They use machine learning, statistical modeling, and predictive analytics to help farmers and agribusinesses make data-driven decisions. This role often requires a background in agriculture, data analysis, and programming skills such as Python or R.

What are some common challenges faced by agriculture data scientists?

Agriculture Data Scientists often encounter challenges such as working with incomplete or inconsistent data, integrating information from various sources (e.g., sensors, satellite imagery, weather data), and building models that account for the biological and environmental variability inherent in agriculture. Additionally, translating complex data analyses into practical insights that can be applied by agronomists or farmers requires close collaboration and clear communication. Overcoming these challenges not only strengthens analytical skills but also helps drive impactful innovation and efficiency across the agriculture sector.

What are the key skills and qualifications needed to thrive in agriculture data science, and why are they important?

To excel in Agriculture Data Science, you need a strong background in statistics, data analysis, programming (such as Python or R), and a foundational understanding of agricultural systems, typically supported by a degree in data science, agriculture, or a related field. Familiarity with GIS software, big data platforms, machine learning tools, and certifications in data analytics or agronomy are commonly required. Excellent problem-solving, clear communication, and the ability to collaborate with multidisciplinary teams are highly valued soft skills. These competencies are crucial for transforming raw agricultural data into actionable insights that improve farm productivity and sustainability.

What are the most commonly searched types of Agriculture Data Science jobs in Raleigh, NC? The most popular types of Agriculture Data Science jobs in Raleigh, NC are:
What are popular job titles related to Agriculture Data Science jobs in Raleigh, NC? For Agriculture Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Agriculture Data Science jobs in Raleigh, NC look for? The top searched job categories for Agriculture Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Agriculture Data Science jobs? Cities near Raleigh, NC with the most Agriculture Data Science job openings:
Agriculture Data Science jobs near you
Infographic showing various Agriculture Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $95,367 per year, or $45.8 per hour.

Applied Genetics Scientist - Pipeline Data Science

Syngenta

Durham, NC • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Company Description

About Syngenta

Syngenta is a leading developer and producer of seeds. We bring farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity's most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. 

Job Description

Applied Scientist - Pipeline Data Science

  • Type: Permanent 
  • Department: Seeds Development / Vegetables
  • Location: Enkhuizen - NL, RTP - US

Into action

Do you thrive at the intersection of data engineering, predictive analytics, and innovation? As our Applied Scientist - Pipeline Data Science, you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust, efficient pipelines, you'll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation. 

The challenge

As an Applied Scientist, you'll focus on building the infrastructure that makes data accessible, reliable, and actionable for diverse stakeholders. Your key responsibilities will include: 

  • Building Scalable Data Pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability. 
  • Ensuring Data Quality and Reliability: Contribute to data mining, curation, analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
  • Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches. 
  • Collaborating Across Teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals, addressing unique data needs efficiently. 
  • Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
  • Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes

This role combines creativity and problem-solving with a focus on real-world applications. You'll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations. 

Qualifications

Your profile

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This comprises, but is not limited to, OPT, CPT, and H-1B visa holders.

We seek a detail-oriented Applied Scientist with a Master's in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields. You combine strong technical skills, analytical insight, and a collaborative mindset.

  • Programming: Skilled in Python, R, SQL; experienced with relational and NoSQL databases.
  • Cloud: Familiar with AWS services and infrastructure.
  • Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
  • Collaboration: Effective team player, able to communicate technical concepts to diverse stakeholders.
  • Bonus: Experience with Docker/Kubernetes, machine learning frameworks (Keras, PyTorch, scikit-learn), and interest in plant breeding or agricultural innovation.
Additional Information

What We Offer:

  • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
  • Full Benefit Package (Medical, Dental & Vision) that starts your first day.
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
  • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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