Staff Data Scientist

As a Staff Data Scientist, 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.

What You Will Do

Your responsibilities will include leading end-to-end data science initiatives from problem framing and methodology selection through prototype development, validation, deployment, monitoring, and production support. You will design and build scalable machine learning, statistical, causal inference, and sequence analysis solutions using modern data science and cloud-based platforms.

Why It Might Be a Fit

We are looking for a candidate with 5 or more years of relevant technical experience in data science, machine learning, analytics, AI, product innovation, or related technical roles. 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.

Requirements

• 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
• Strong hands-on experience building, validating, and deploying machine learning, statistical, or AI models using Python or related object-oriented programming approaches
• Strong experience using SQL and large-scale data platforms such as Spark, Databricks, or similar technologies to query, transform, and analyze large datasets
• Experience designing and delivering production-ready data science solutions, including reusable code, testing, documentation, monitoring, and production support practices
• Demonstrated ability to manage multiple cross-functional initiatives simultaneously, including planning, prioritization, stakeholder alignment, dependency management, deadline management, and delivery tracking
• Ability to work independently in ambiguous or rapidly changing environments and translate loosely defined business problems into structured analytical plans and measurable deliverables
• Strong foundation in statistics, experimental design, observational study design, model validation, uncertainty, bias, confounding, robustness, stability, drift, and business relevance
• Experience collaborating with product, engineering, data engineering, domain experts, and business stakeholders to define requirements and deliver data-driven solutions
• Excellent communication skills, including the ability to explain technical methods, tradeoffs, assumptions, risks, results, and recommendations to both technical and non-technical stakeholders

Benefits

• 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