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Remote Agriculture Data Science Jobs (NOW HIRING)

Jj

Manager, Data Science - Oncology

Titusville, NJ · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

PatientPoint

REMOTE - Data Scientist

$101K - $175K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

Jj

Manager, Data Science - Oncology

Cambridge, MA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Jj

Manager, Data Science - Oncology

Raritan, NJ · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Corning Incorporated

Data Scientist (Remote)

Corning Incorporated is a leading innovator in glass, ceramic, and materials science. They are seeking a Data Scientist to join their Data Science & Insight team, focusing on developing AI and ...

New

Corning Incorporated

Data Scientist (Remote)

Corning Incorporated is a leading innovator in glass, ceramic, and materials science. They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on developing AI ...

New

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and Responsibilities: As a Data Science and Data Analytics Intern, you will play a crucial role in ...

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All JobsAgriculture Data Science 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.
Senior Manager Data Science & AI

Senior Manager Data Science & AI

Bollinger Shipyards

Raceland, LA • Remote

Full-time

Posted 10 days ago

Bollinger Shipyards rating

5.5

Company rating: 5.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Job Title: Senior Manager Data Science & AI

Location: Remote USA

Position Overview: The Senior Manager, Data Science & AI is responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. This role leads the identification, prioritization, development, and operationalization of AI solutions that improve forecasting, bidding, operational efficiency, planning, and decision-making.

The role partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to ensure AI initiatives are aligned to strategic priorities and successfully integrated into enterprise operations.

Key Responsibilities:

  • ·         Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
  • ·         Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
  • ·         Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
  • ·         Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
  • ·         Ensure AI and ML solutions are integrated into enterprise workflows and production systems
  • ·         Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
  • ·         Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
  • ·         Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
  • ·         Lead and develop data science and ML engineering resources
  • ·         Ensure responsible, secure, and compliant use of AI technologies and enterprise data
  • ·         Establish KPIs and performance measures for AI initiatives and operational impact

Qualifications:

•           Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field

•           8+ years of experience in data science, AI, machine learning, or advanced analytics roles

•           3+ years of leadership experience

•           Proven experience leading enterprise AI and ML initiatives from concept through operational deployment

•           Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques

•           Experience working with large and complex enterprise datasets

•           Experience leading technical teams and enterprise-scale initiatives

Skills and Abilities:

•           Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments

•           Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks

•           Familiarity with Generative AI, intelligent automation, and agent-based AI applications

•           Experience operationalizing AI solutions within ERP or operational systems

•           Knowledge of AI governance, model risk management, and responsible AI practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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