Logo for EQT Corporation

Land Data Scientist II/III/Senior

Role overview

Qualifications

  • 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.

Responsibilities

  • Collaborate with employees in EQT’s Land Department to ensure alignment with data models and pipelines.
  • Coordinate with internal BI/IT teams to implement table and code changes.
  • Lead complex analytics initiatives requiring advanced scripting and analytical methods.
  • Support Land Department with advanced analytical needs including beyond standard BI reporting.

Key facts

Other skills

  • Collaboration
  • Communication
  • Mentorship
  • Problem Solving

About the company

EQT Corporation logo

EQT Corporation

Oil & Gas

EQT Corporation is America's only large-scale, vertically integrated natural gas producer with an evolutionary focus on our future. EQT has operations in Pennsylvania, West Virginia and Ohio and is dedicated to responsibly developing our world-class asset base in the core of the Appalachian Basin. EQT is making strides toward becoming the best producer by creating long-term value for all stakeholders, including employees, landowners, communities, industry partners and investors with a mission of delivering affordable, reliable and cleaner energy to the world.

Company details

IndustryOil & Gas
Company size1001 - 5000

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Job description

At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross-functional collaboration, development opportunities, and career advancement.

Join our Qrew! 

The Land Data Scientist responsibilities include but are not limited to:

  • Collaborate with employees in EQT’s Land Department (Division Order, Land Administration, Title, Owner Relations, Business Development, Land Acquisitions) to ensure alignment with data models, pipelines, governance and special projects including process improvement ideation and implementation.
  • Coordinate with internal BI/IT teams where needed to understand and implement table and code changes.
  • Coordinate with EQT’s β€œSTAQ” (Delivery) team where needed to prioritize and push changes to environments in Salesforce, data bricks, AI pipelines.
  • 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 working with internal IT and Land SMEs
  • Lead complex analytics initiatives requiring advanced scripting and analytical methods.
  • Design, build, and maintain analytical solutions using SQL.
  • Contribute across the full analytics lifecycle: discovery, design, development, validation, and refinement.
  • Conduct code reviews to ensure quality, performance, maintainability, and alignment with standards.
  • Support Land Department with advanced analytical needs including and beyond standard BI reporting.
  • Apply advanced statistical and analytical techniques to solve complex business problems.
  • Clearly 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 to communicate data insights to stakeholders and management.

 

Required Experience and Skills:

  • 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 (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.

 

Preferred Experience and Skills:

  • Working knowledge of Databricks and the Databricks ecosystem, including Lakehouse architecture, PySpark, Databricks SQL, notebooks, workflows/jobs, querying, and Unity Catalog.
  • Familiarity with applied statistical learning and advanced analytics techniques.
  • Experience collaborating with Oil and Gas Land Departments.
  • Exposure to cloud-based analytics platforms and modern data ecosystems.
  • Experience developing shared analytics libraries adopted across teams.
  • Experience supporting analytics tied to strategic or executive-level decision-making.
  • Familiarity with CRM platforms, particularly Salesforce.

 

Remote work is being considered for this role excluding the following states:  California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.


Selected incumbent will be placed into the position that best suits their abilities and experience level.

EQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.

 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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