Land Data Scientist – II/III/Senior

Posted Aug 21

This is a fully remote position, open to applicants in California, +8 more states.

📋 Description

• Work in partnership with employees from the EQT Land Department across Division Order, Land Administration, Title, Owner Relations, Business Development, and Land Acquisitions.

• Harmonize data models, pipelines, governance, and special initiatives, including the ideation and execution of process improvements.

• Collaborate with internal BI/IT teams to comprehend and implement changes in tables and code.

• Coordinate with the STAQ Delivery team to prioritize and facilitate updates to Salesforce, Databricks, and AI pipeline environments.

• Transform Claude Enterprise and associated AI capabilities into quantifiable Land outcomes and increased adoption.

• Establish a governed path from intake to delivery for AI use cases across various business functions.

• Convert business opportunities into feasible AI designs in collaboration with internal IT and Land subject-matter experts.

• Manage intricate analytics projects that necessitate advanced scripting and analytical techniques.

• Design, construct, and sustain analytical solutions utilizing SQL.

• Contribute throughout the phases of discovery, design, development, validation, and refinement.

• Perform code reviews to ensure quality, performance, maintainability, and adherence to standards.

• Assist the Land Department with sophisticated analytical requirements that extend beyond conventional BI reporting.

• Employ advanced statistical and analytical methodologies to tackle complex business challenges.

• Convey insights, trade-offs, and recommendations to both technical and non-technical stakeholders.

• Stay informed about emerging analytics technologies and evaluate their relevance.

• 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 a closely related discipline.

• Over 3 years of coding experience.

• Advanced proficiency in SQL for the implementation and optimization of analytical logic.

• Working knowledge of R for statistical and analytical applications.

• Demonstrated experience in delivering complex analytics solutions within a BI or enterprise setting.

• Strong foundation in software development best practices, including version control, testing, and documentation.

• Experience in defining, enforcing, and reviewing shared coding standards.

• Capability to refactor and enhance codebases created by multiple contributors.

• Excellent cross-functional collaboration and communication abilities.

• Experience in mentoring peers and influencing technical direction without direct authority.

• Preferred: familiarity with Databricks and its ecosystem, including Lakehouse architecture, PySpark, Databricks SQL, notebooks, workflows/jobs, querying, and Unity Catalog.

• Preferred: knowledge of applied statistical learning and advanced analytics techniques.

• Preferred: experience working with Oil and Gas Land Departments.

• Preferred: exposure to cloud-based analytics platforms and modern data ecosystems.

• Preferred: experience in developing shared analytics libraries utilized across teams.

• Preferred: experience supporting analytics related to strategic or executive-level decision-making.

• Preferred: familiarity with CRM platforms, especially Salesforce.


🏝️ Benefits

• Opportunity to collaborate with leaders through Transparent Leadership.

• Engage in cross-functional collaboration, development opportunities, and career growth through Supported Growth.

• Option for remote work, subject to state restrictions.

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