John Deere & Company

John Deere & Company

Staff Data Scientist

Austin,Texas,United States · Staff+

No sponsorship$124k-$186kDetected 22 days ago
PythonObject-Oriented ProgrammingSQLDatabricksVector DatabasesCI/CDMachine LearningSparkData EngineeringData ScienceNLPRAGAgentic AIStatisticsTest AutomationResearchExperimental DesignGISLeadershipCommunicationMentoringAgronomyPrecision Agriculture

About the role

  • 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.

Responsibilities

  • This role will focus on building robust analytical methods and production-ready capabilities for benchmarking, similarity modeling, causal inference, sequence analysis, impact modeling, and scalable insight generation across large and diverse datasets.
  • In this role, you will serve as a technical lead across multiple projects, working independently with minimal review while partnering closely with product managers, engineering teams, data engineering, domain experts, and other data scientists.
  • 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.
  • 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.
  • Lead end-to-end data science initiatives from problem framing and methodology selection through prototype development, validation, deployment, monitoring, and production support.
  • Develop production-ready models, features, data pipelines, and analytical workflows using tools such as Python, SQL, Spark, Databricks, feature stores, and cloud platforms.
  • Partner with product, engineering, data engineering, agronomy/domain experts, and leadership stakeholders to define use cases, success criteria, analytical requirements, and delivery plans.
  • Establish and maintain model validation, performance measurement, monitoring, data quality, documentation, and governance practices to ensure reliable, explainable, and defensible insights.
  • Manage multiple cross-functional initiatives simultaneously, prioritize work, align dependencies, manage deadlines, communicate risks, and drive delivery of measurable outcomes.

Requirements

  • The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
  • 1 or more years of experience providing technical leadership on one or more projects, including mentoring or guiding staff members on technical work.

Compensation

  • $124k-$186k

Benefits

  • The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control.
  • Design and build scalable machine learning, statistical, causal inference, and sequence analysis solutions using modern data science and cloud-based platforms.
  • Stay current on emerging AI, machine learning, data engineering, and analytics technologies, and evaluate where new approaches can improve business outcomes.
  • 5 or more years of relevant technical experience in data science, machine learning, analytics, AI, product innovation, or related technical roles.

Equal opportunity

  • 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.
  • John Deere is an equal opportunity employer, including disabled & veterans.

Visa & Work Authorization

  • VISA Sponsorship is NOT available for this position Preference is for candidates who are able to work onsite in either Austin, TX or Urbandale, IA, however remote may be considered for strong cand
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This listing is sourced directly from John Deere & Company's careers page and normalized into a canonical job model.