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Land Data Scientist II/III/Senior

22 minutes ago
United States
Full-time
Senior
AI Engineer
Data Science and Analytics
Apache Spark Databricks Git Machine Learning R Salesforce SQL
Apply Now
EQT

EQT

EQT is an integrated energy provider that focuses on the innovative production of energy resources while fostering cooperative relationships with customers, partners, and local communities.

Gas Utilities
251-1K
Founded 1888
View All Jobs 5

Description

  • Collaborate with Land Department teams to align data models, pipelines, governance, and process improvement initiatives.
  • Coordinate with internal BI/IT teams to implement table and code changes.
  • Work with the STAQ delivery team to prioritize and deploy changes across Salesforce, Databricks, and AI pipelines.
  • Turn Claude Enterprise and related AI capabilities into measurable land outcomes and adoption.
  • Create a governed intake-to-delivery process 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 using advanced scripting and analytical methods.
  • Design, build, and maintain SQL-based analytical solutions.
  • Support the Land Department with advanced analytics beyond standard BI reporting.
  • Generate daily and weekly reports, charts, and visualizations for stakeholders and management.
  • Conduct code reviews to ensure quality, performance, maintainability, and standards alignment.
  • 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 their applicability.

Requirements

  • Bachelor's degree in Computer Science, Information Systems Management, Data Science, Information Science, Engineering, or a 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.
  • Working knowledge of Databricks and its 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 (preferred).
  • Remote work is being considered except for California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.

Benefits

  • Remote work is being considered for eligible locations.
  • Opportunity for cross-functional collaboration and career advancement.
  • Development opportunities to expand skills.
  • Equal Opportunity Employer status, including Disabilities/Veterans.

Interested in this position?

Apply directly on the company website

Apply Now

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