Staff Data Scientist

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) - Texas - Austin Function: Data and Analytics (CA) Title: Staff Data Scientist - 121790 Onsite/Remote:Onsite Position ## Your Responsibilities As a Staff Data Scientist, for John Deere Intelligent Solutions Group, located in Austin, TX or Urbandale, IA, you will lead the design, development, validation, deployment, and production support of scalable data science, AI, and machine learning solutions that address complex business problems and enable data-driven decision making. 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. You will translate ambiguous business opportunities into clear analytical requirements, technical roadmaps, validation plans, delivery milestones, and production-ready solutions. Additionally, you will: \- Lead end-to-end data science initiatives from problem framing and methodology selection through prototype development, validation, deployment, monitoring, and production support. \- Design and build scalable machine learning, statistical, causal inference, and sequence analysis solutions using modern data science and cloud-based platforms. \- 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. \- Provide technical mentorship to other data scientists and staff members, including guidance on modeling approaches, architecture, code quality, validation methods, and production best practices. \- Manage multiple cross-functional initiatives simultaneously, prioritize work, align dependencies, manage deadlines, communicate risks, and drive delivery of measurable outcomes. \- Communicate complex technical methods, assumptions, limitations, tradeoffs, risks, and business implications clearly to technical and non-technical audiences. \- Stay current on emerging AI, machine learning, data engineering, and analytics technologies, and evaluate where new approaches can improve business outcomes. 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 candidates. ## What Skills You Need \- 5 or more years of relevant technical experience in data science, machine learning, analytics, AI, product innovation, or related technical roles. \- 1 or more years of experience providing technical leadership on one or more projects, including mentoring or guiding staff members on technical work....