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Data Scientist Plant Science Jobs (NOW HIRING)

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Requirements Requirements: * 5+ years of progressive experience in data science, advanced analytics ... Occasional exposure to a plant environment Preferred Qualifications: * Experience working with SAP ...

New

Applied Information Sciences

Data Scientist

Washington, DC · On-site

$94K - $141K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in data science, data analytics, or a related discipline * Proficiency in Python, R, SQL ...

VTG

Data Scientist

Chantilly, VA

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA · On-site

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

Brillient

Data Scientist

Silver Spring, MD

The employee should have significant expertise in data science. Specific tasks shall include, but not be limited to, the following: * * Reviews and evaluate clinical study protocols and reports ...

Kellton

Imaging Data Scientist

Johnston, IA

$75/hr

... of plant cell biology and applied AI to build, productionize, and maintain computer vision ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

Group Nine LLC

Data Scientist

Arlington, VA · On-site

Required : • Must have at least 3 years' experience in their most recent position • 7+ years of practical data science/data analytics experience. • Master's degree (or PhD level) in Computer ...

campus4tech

Data Scientist

Manhattan, NY · On-site

The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

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All JobsData Scientist Plant Science Jobs

Data Scientist Plant Science information

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$37.5K

$122.7K

$196.5K

How much do data scientist plant science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data scientist plant 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 are the key skills and qualifications needed to thrive as a Data Scientist in Plant Science, and why are they important?

To excel as a Data Scientist in Plant Science, you need a strong background in statistics, machine learning, and plant biology, often supported by an advanced degree in data science, biology, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with bioinformatics platforms are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings to interdisciplinary teams are crucial soft skills. These competencies enable you to extract actionable insights from biological data, drive innovation in plant research, and support evidence-based decision-making.

How do Data Scientists in Plant Science typically collaborate with agronomists and biologists on research projects?

Data Scientists in Plant Science frequently work alongside agronomists and biologists to analyze complex datasets generated from field trials, laboratory experiments, or remote sensing. Collaboration often involves translating biological questions into data-driven models, sharing insights from statistical analyses, and jointly interpreting results to guide experimental direction. Regular meetings and interdisciplinary workshops are common, ensuring clear communication and alignment on research objectives. This close teamwork helps integrate computational approaches with practical plant science expertise, driving innovation and actionable discoveries.

What are Data Scientist Plant Science?

A Data Scientist in Plant Science is a professional who applies data analysis, machine learning, and statistical techniques to solve problems related to plant biology and agriculture. They work with large datasets from experiments, sensors, or genomic studies to uncover insights that can improve crop yield, disease resistance, and sustainability. Their role often involves collaborating with agronomists, biologists, and other researchers to translate data into actionable recommendations for farming and plant breeding.
Infographic showing various Data Scientist Plant Science job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 23% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Staffing Agency Recruitment

Franklin, TN • Remote

$125K - $150K/yr

Full-time

Posted 2 days ago

Job description

This is a remote position.

Location: Remote (Nashville, TN strongly preferred)
Job-Type: Full-Time
Role Overview:
We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes.

This role will partner closely with marketing, sales, operations, supply chain, corporate, and finance teams to identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear, business-relevant insights for marketing and sales teams.

This individual will work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior. While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner, translate business needs, and ensure alignment across data workflows and infrastructure.



Requirements

Requirements:

  • 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams
  • Experience in the development of machine learning models and AI frameworks
  • Experience working with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar tools)
  • Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery)
  • Experience working with data from large enterprise applications (e.g., ERP, CRM or operational systems)
  • Fluency in Python and SQL (required); R (optional)
  • Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets
  • Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression, probability theory, experimental design, etc.)
  • Demonstrated experience with experimentation and causal analysis
  • Demonstrated experience with experimental design, model evaluation, and performance measurement
  • Strong understanding of data pipelines, ETL processes, and data architecture
  • Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering)
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
  • Excellent presentation, communication, and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience
  • Highly self-motivated with proven ability to operate autonomously, managing multiple priorities in a fast-paced environment
  • Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
  • Bachelor’s degree in computer science, mathematics, data science, statistics, or a related quantitative field (Master’s degree preferred)
  • Occasional travel up to 15% of time
  • Occasional exposure to a plant environment

Preferred Qualifications:

  • Experience working with SAP (S/4 HANA, ECC, BTP, etc.)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Experience in text analytics, image recognition, graph analysis, or other specialized ML techniques (e.g., deep learning)
  • Experience in manufacturing, building products, or construction-related industries