Filtros

Ubicación

Industria

Comercio de granos y agroindustria (1831)Insumos: semilla, nutrición y protección de cultivos (1591)Alimentos y bebidas: proceso y empaque (1366)Maquinaria, riego y equipo (1288)Producción agrícola y hortofrutícola (233)Producción pecuaria, acuícola y sanidad animal (19)

Ver 1 más

Servicios al agro (2)

Tipo de contratación

Tiempo completo (2179)Por temporada (37)Medio tiempo (28)

Modalidad

Presencial (11)Remoto (5)Híbrido (1)

Solo con sueldo visible

6330 vacantes

Ordenar:Destacadas Recientes

Volver a la lista

John Deere

Staff Data Scientist

Ubicación del puesto

Iowa, United States

Full time

Publicada el hace 5 días

Se cierra el Hoy

Investigación, desarrollo y mejoramiento genético

Descripción

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. ##### John Deere is an equal opportunity employer, including disabled & veterans. Primary Location: United States (US) - Iowa - Function: Data and Analytics (CA) Title: Staff Data Scientist - 123814 Onsite/Remote:Remote Position This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change. ## Your Responsibilities As a Staff Data Scientist for JD Intelligent Solutions Group you will: This is a remote US based position • Define technical strategy and architecture for complex data science, machine learning, AI, and advanced analytics initiatives across multiple products or business areas. • Lead solutions from problem definition and experimentation through production deployment, monitoring, and continuous improvement. • Personally design and build models, algorithms, data pipelines, and production-ready analytical systems for difficult or ambiguous problems. • Translate customer and business needs into scalable technical solutions with measurable outcomes. • Provide technical direction across projects, ensuring solutions are reliable, maintainable, secure, and aligned with enterprise standards. • Create reusable tools, frameworks, and technical practices that improve quality and accelerate delivery across teams. • Partner with product, engineering, and business leaders to shape roadmaps, evaluate tradeoffs, and guide technical investments. • Mentor data scientists and engineers through design reviews, code reviews, technical coaching, and knowledge sharing. • Communicate technical recommendations, risks, and results clearly to technical teams and senior leaders. • Promote engineering excellence, responsible AI, data governance, security, and technical innovation. VISA Sponsorship is NOT available for this position ## What Skills You Need * Minumum of 2 years of experience with PhD * Minimum of 3 years of experience with Master of Science degree * Minimum of 5 years of experience with Bachelor's degree * Significant experience creating & delivering production-grade machine learning (deep learning) AI, advanced analytics, optimization, or data-intensive software solutions. * Advanced Programming proficiency and experience with modern data science, machine learning, and software engineering practices. * Experience working with large, complex datasets such as machine telemetry, geospatial data, imagery, time-series, operational, or agronomic data. * Strong knowledge of machine learning, statistics, experimentation, model validation, and performance evaluation. * Experience designing scalable data pipelines, model workflows, and production architectures. * Strong software engineering foundation, including version control, automated testing, CI/CD, reproducibility, and maintainable code. * Proven ability to establish technical direction and influence decisions across multiple teams without formal authority. * Demonstrated success solving ambiguous problems and translating technical work into customer or business value. * Strong communication, stakeholder-influence, and technical mentoring skills. ## What Makes You Stand Out * Expertise in computer vision, geospatial analytics, remote sensing, time-series modeling, optimization, robotics, autonomy, simulation, or precision agriculture. * Experience with cloud platforms, Databricks, Spark, Kubernetes, distributed computing, MLOps, model registries, or production model monitoring. * Experience building reusable platforms, frameworks, libraries, or shared capabilities adopted by multiple teams. * Familiarity with responsible AI, privacy, data governance, cybersecurity, and model governance. * Experience defining technical strategy across a portfolio of products or initiatives. * Record of innovation through patents, publications, research collaborations, or novel production solutions. ## Education Ideally you will have a degree or equivalent related work experience in the following: * Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related technical discipline. * Advanced degree in a quantitative, engineering, computer science, robotics, or applied AI/ML discipline highly preferred. What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: * Flexible work arrangements * Highly competitive base pay * Savings & Retirement benefits (401K and Defined Contribution) * Healthcare benefits with a generous company contribution in the Health Savings Account * Adoption assistance * Employee Assistance Programs * Tuition assistance * Fitness subsidies and on-site gyms at specific Deere locations * Charitable contribution match * Employee Purchase Plan & numerous discount programs for personal use * Vacation and Holiday Pay $123,804.00 - $185,700.00 + Benefits Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL Must be 18 years of age or older to apply The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Vacantes del campo

Staff Data Scientist

Descripción

Staff Data Scientist

Descripción