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Remote Agriculture Data Science Jobs (NOW HIRING)

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Merck & Co.

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Senior Data Scientist for Clinical Data Science Realization Team in Rahway - About us - We are a ... remote teammates- Proficient in Python or R- - - Required Skills: Animal Vaccination, Business ...

New

MSD

Senior Specialist, Data Science

Rahway, NJ · On-site +1

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About us We are a global ... Self-driven and able to work independently while staying closely aligned with remote teammates

New

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

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All JobsRemote Agriculture Data Science Jobs

Remote Agriculture Data Science information

What is remote agriculture data science?

Remote agriculture data science involves analyzing and interpreting agricultural data from a distance, often using digital tools and remote sensing technologies. Professionals in this field leverage data collected from satellites, drones, sensors, and farm management systems to provide insights that help optimize crop yields, monitor soil health, and improve resource management. Working remotely, these data scientists use statistical models, machine learning, and geographic information systems (GIS) to assist farmers and agribusinesses in making data-driven decisions. The role can include tasks such as predictive analytics, data visualization, and building decision support tools, all performed from a location outside the traditional farm or office setting.

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

To thrive as a Remote Agriculture Data Scientist, you need a solid background in statistics, machine learning, agronomy, and data analysis, typically supported by a degree in data science, agriculture, or a related field. Proficiency with analytical tools like Python, R, GIS platforms, and cloud-based data management systems is commonly required. Strong problem-solving, communication, and self-motivation skills are essential for collaborating with remote teams and stakeholders. These skills enable effective interpretation of agricultural data, driving informed decisions and innovation in the sector.

How do remote agriculture data scientists typically collaborate with on-site agronomists and farm teams?

Remote agriculture data scientists often work closely with on-site agronomists and farm teams through regular virtual meetings, shared data platforms, and cloud-based tools. Communication is key; they may interpret sensor or satellite data and translate insights into actionable recommendations, which are then validated or implemented by on-the-ground staff. Building strong relationships and maintaining clear channels for feedback is essential to ensure that data-driven solutions align with real-world agricultural conditions. This collaborative approach helps bridge the gap between advanced analytics and practical farm management.
More about Remote Agriculture Data Science jobs
What cities are hiring for Remote Agriculture Data Science jobs? Cities with the most Remote 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 Remote Agriculture Data Science jobs? States with the most job openings for Remote Agriculture Data Science jobs include:
What job categories do people searching Remote Agriculture Data Science jobs look for? The top searched job categories for Remote Agriculture Data Science jobs are:
Remote Agriculture Data Science jobs near you
Infographic showing various Remote Agriculture Data Science job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 88% Full Time, and 10% Part Time. Highlights an 2% In-person, and 98% Remote job distribution.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 19 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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