Land Data Scientist II/III/Senior

Quick Facts

• Role: Land Data Scientist II/III/Senior

Description

Collaborate with the Land Department and internal BI/IT teams to align data models, pipelines, governance, and special projects, and to translate business opportunities into practical AI designs. Build governed AI use-case intake-to-delivery paths, lead complex analytics initiatives, and deliver analytics solutions across the full lifecycle. Use SQL and R for advanced statistical and analytical work, perform code reviews, and communicate insights to technical and non-technical stakeholders.

Responsibilities

• Coordinate with Land teams (Division Order, Land Administration, Title, Owner Relations, Business Development, Land Acquisitions) on data models, pipelines, governance, and special projects
• Work with internal BI/IT teams to implement table and code changes
• Coordinate with the STAQ delivery team to prioritize and push changes to environments in Salesforce, Databricks, and AI pipelines
• Convert Claude Enterprise and related AI capabilities into measurable Land outcomes and adoption
• Create a governed intake-to-delivery path for AI use cases across business functions
• Translate business opportunities into AI designs with IT and Land SMEs
• Lead complex analytics initiatives using advanced scripting and analytical methods
• Design, build, and maintain analytical solutions using SQL
• Support the analytics lifecycle: discovery, design, development, validation, and refinement
• Perform code reviews to ensure quality, performance, maintainability, and standards compliance
• Support advanced Land analytics beyond standard BI reporting
• Apply advanced statistical and analytical techniques to solve complex business problems
• Communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders
• Stay current with emerging analytics technologies and assess applicability
• Produce daily and weekly reports, charts, and visualizations for stakeholders and management

Requirements

• Bachelor’s degree in Computer Science, Information Systems Management, Data Science, Information Science, Engineering, or related field
• 3+ years of coding experience
• Advanced SQL proficiency for implementing and optimizing analytical logic
• Working proficiency in R for statistical and analytical use cases
• Proven experience delivering complex analytics solutions in a BI or enterprise environment
• Strong software development best practices (version control, testing, documentation)
• Experience defining, enforcing, and reviewing shared coding standards
• Ability to refactor and improve codebases authored by multiple contributors
• Strong cross-functional collaboration and communication skills
• Experience mentoring peers and influencing technical direction without direct authority

Benefits

• Remote work considered (excluding specified U.S. states unless relocation is available)
• Opportunity to drive measurable adoption of AI capabilities for Land outcomes
• Equal Opportunity Employer (Disabilities/Veterans)