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Senior Agriculture Data Science Jobs (NOW HIRING)

AgZen

Senior Data Scientist

Somerville, MA · On-site

AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT ... MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

INTECON is seeking a Senior Data Science Consultant to support the U.S. Air Force A33B Mission Assurance Construct Support (MACS) program by leading advanced analytics initiatives, developing AI/ML ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

INTECON is seeking a Senior Data Science Consultant to support the U.S. Air Force A33B Mission Assurance Construct Support (MACS) program by leading advanced analytics initiatives, developing AI/ML ...

Merck & Co.

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway - About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA

$106K - $132K/yr

What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications: * Bachelor's degree or equivalent related work or military experience * 2 years of experience in data ...

Walmart

Senior Manager, Data Science

Bentonville, AR

Senior Manager, Data Science Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and ...

Apple

Sr. Data Science Leader - iCloud

Cupertino, CA · On-site

$83 - $111/hr

We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes ...

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Senior Agriculture Data Science information

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How much do senior agriculture data science jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for senior agriculture data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Agriculture Data Science vs Agriculture Data Scientist?

AspectSenior Agriculture Data ScienceAgriculture Data Scientist
Required CredentialsBachelor's/Master's in Data Science, Agriculture, or related fields; experience preferredBachelor's/Master's in Data Science, Agriculture, or related fields; entry to mid-level experience
Work EnvironmentResearch labs, agricultural companies, tech firmsResearch institutions, agricultural firms, startups
Employer & Industry UsageUsed in organizations seeking advanced data analysis and leadershipUsed in organizations focusing on data analysis and modeling in agriculture

Senior Agriculture Data Science roles typically require more experience, leadership, and advanced skills compared to Agriculture Data Scientists. While both roles involve data analysis in agriculture, senior positions often include project management and strategic responsibilities, whereas data scientists focus on technical analysis and modeling.

What are the key skills and qualifications needed to thrive as a Senior Agriculture Data Scientist, and why are they important?

To excel as a Senior Agriculture Data Scientist, you need advanced skills in data analysis, statistical modeling, machine learning, and a strong background in agriculture or environmental science, typically supported by a relevant degree. Expertise with tools like Python, R, GIS software, remote sensing platforms, and familiarity with big data systems such as Hadoop or Spark is often required. Strong problem-solving abilities, communication skills, and the capacity to translate complex data into actionable insights help you stand out in this role. These competencies are crucial for driving data-driven decisions that improve agricultural productivity and sustainability.

How does a Senior Agriculture Data Scientist typically collaborate with agronomists and field experts to improve data-driven decisions?

A Senior Agriculture Data Scientist frequently works alongside agronomists, farm managers, and field experts to ensure that data models and analyses are grounded in real-world agricultural practices. Collaboration often involves translating complex data insights into actionable recommendations for crop management, yield prediction, and resource optimization. Regular meetings, field visits, and cross-functional project teams are common, enabling the data scientist to validate models with on-the-ground feedback and adapt solutions to practical needs. This close partnership helps bridge the gap between advanced analytics and effective, sustainable agricultural practices.

What does a Senior Agriculture Data Scientist do?

A Senior Agriculture Data Scientist analyzes large sets of agricultural data to help improve farming practices, crop yields, and resource management. They use advanced statistical methods, machine learning, and data modeling to interpret data from sources like sensors, satellite imagery, and field reports. Their insights assist agricultural businesses and farmers in making evidence-based decisions, optimizing operations, and increasing sustainability. In addition to technical expertise, they often lead teams, collaborate with agronomists, and communicate findings to stakeholders.
What cities are hiring for Senior Agriculture Data Science jobs? Cities with the most Senior Agriculture Data Science job openings:
What are the most commonly searched types of Agriculture Data Science jobs? The most popular types of Agriculture Data Science jobs are:
What states have the most Senior Agriculture Data Science jobs? States with the most job openings for Senior Agriculture Data Science jobs include:
Senior Agriculture Data Science jobs near you

Senior Data Scientist

AgZen

Somerville, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

About AgZen:
AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT research and focused on one problem: making crop spraying more efficient. Our flagship product, RealCoverage, is the world's first system that measures and controls droplet coverage at the leaf level, giving growers real-time visibility into spray performance and cutting chemical and water use by up to 50% without sacrificing yield.
We are a small, technically deep team working at the intersection of fluid mechanics, computer vision, AI, and real agricultural environments. If you want to build technology with measurable impact on how the world grows food, this is the place to do it.
About the Role
We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join our team. As part of the the perception team, you'll be responsible for uncovering patterns from crop protection data collected from RealCoverage units installed on sprayers all around the world. Along with being a key player in our ML team, you will design dashboards and reports and develop a data-driven recommendation engine that enables further agricultural optimization. This role will be an essential bridge between AgZen's customer success and measurement groups. Strong communication, flexibility, teamwork, the desire to take on different responsibilities and own them will all be essential skills for a successful applicant.
This role is located in Somerville, MA (Boston area) with work required to be in-person. Travel to support AgZen's major manufacturing builds (seasonal) will be required.
What You'll Do
  • Perform historical data analysis of spray applications by identifying patterns and analyzing the impact of key factors including input parameters, rates, mixtures, agricultural practices, and environmental conditions
  • Apply advanced statistical, machine learning, forecasting, optimization, and experimentation methodologies to solve complex agricultural data challenges
  • Architect and operationalize machine learning solutions including AgZen's RealCoverage Recommendation Engine
  • Build tooling and support non-technical domain experts in understanding perception pipeline performance and identifying opportunities for pipeline improvement
  • Drive data-centric ML model improvements to achieve critical AgZen milestones
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Contribute to an organization wide data ontology and class structure for perception models
  • Collaborate closely with cross-functional teams of software engineers, machine learning scientists, product specialists, and researchers to design, build, and maintain robust data pipelines grounded in sound data organization, domain knowledge, and careful analysis
  • Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators

What We're Looking For
Required:
  • MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or BS with equivalent work experience)
  • Proficient using data query languages (SQL/postgreSQL) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis, including experience making data-driven decisions from physical sensor data
  • Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning
  • Strong data-centric ML development, careful data curation, and the ability to quickly develop agricultural domain expertise
  • Creative, naturally curious, and willing to take intellectual risks
  • Adaptability to different business challenges and data types / sources and to learn and utilize a range of different analytical tools and methodologies
  • Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment

Preferred:
  • Experience with the field of agriculture or related fields such as environmental or life sciences
  • Knowledge of interfacial science, crop science and/or fluid dynamics
  • Experience with data science based on real-world physical sensors data
  • Experience with vision-based ML
  • Prior experience in developing data-driven customer facing recommendation system
  • Experience creating intuitive data visualization tools that make complex data approachable for non-technical users
  • Prior experience in developing machine-learning models relevant to biological or crop protection outcomes
  • Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
  • Hands-on experience leveraging generative AI approaches for data exploration, model development, or research acceleration

What We Offer
  • The opportunity to make an immediate and visible impact in a fast-growing company
  • Early-employee equity
  • 401(k) with employer matching at 6 months of employment
  • 6 weeks of PTO on day one
  • 12 paid holidays
  • Medical, Dental and Vision insurance

The salary range for this position is $150,000 - $180,000 depending on skills and qualifications evaluated on a per candidate basis.

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