Land Data Scientist – II/III/Senior

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Connecticut, +7 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote ⚜️ Louisiana – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EQT Corporation

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1888

⚡ Energy

📋 Compliance

Energy • Compliance • Environmental

EQT Corporation is America's only large-scale, vertically integrated natural gas producer focused on delivering affordable, reliable, and clean energy. The company aims to operate responsibly while achieving Net Zero emissions for Scope 1 and Scope 2 greenhouse gas emissions, demonstrating a strong commitment to environmental sustainability. EQT is dedicated to creating long-term value for its stakeholders, including employees, landowners, and investors, while continuously improving practices in natural gas production and community engagement.

📋 Description

• Collaborate with EQT Land Department employees across Division Order, Land Administration, Title, Owner Relations, Business Development, and Land Acquisitions • Align data models, pipelines, governance, and special projects, including process improvement ideation and implementation • Coordinate with internal BI/IT teams to understand and implement table and code changes • Coordinate with the STAQ Delivery team to prioritize and push changes to Salesforce, Databricks, and AI pipeline environments • Turn 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 practical AI designs with internal IT and Land subject-matter experts • Lead complex analytics initiatives requiring advanced scripting and analytical methods • Design, build, and maintain analytical solutions using SQL • Contribute across discovery, design, development, validation, and refinement • Conduct code reviews for quality, performance, maintainability, and standards alignment • Support the Land Department with advanced analytical needs beyond standard BI reporting • Apply advanced statistical and analytical techniques to complex business problems • Communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders • Stay current with emerging analytics technologies and assess applicability • Generate 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 another closely 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 grounding in software development best practices, including version control, testing, and 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 • Preferred: working knowledge of Databricks and the Databricks ecosystem, including Lakehouse architecture, PySpark, Databricks SQL, notebooks, workflows/jobs, querying, and Unity Catalog • Preferred: familiarity with applied statistical learning and advanced analytics techniques • Preferred: experience collaborating with Oil and Gas Land Departments • Preferred: exposure to cloud-based analytics platforms and modern data ecosystems • Preferred: experience developing shared analytics libraries adopted across teams • Preferred: experience supporting analytics tied to strategic or executive-level decision-making • Preferred: familiarity with CRM platforms, particularly Salesforce

🏖️ Benefits

• Collaboration with leaders through Transparent Leadership • Cross-functional collaboration, development opportunities, and career advancement through Supported Growth • Remote work option, subject to state restrictions