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Gis Machine Learning Jobs in Oklahoma (NOW HIRING)

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Gis Machine Learning information

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Oklahoma? For Gis Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Oklahoma look for? The top searched job categories for Gis Machine Learning jobs in Oklahoma are:
What cities in Oklahoma are hiring for Gis Machine Learning jobs? Cities in Oklahoma with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

Senior Reservoir Analyst

WARWICK INVESTMENT GROUP

Oklahoma City, OK • On-site

$81K - $108K/yr

Full-time

Re-posted 17 days ago

Job description

Warwick Investment Group is a private equity firm focused on investing in real assets. With approximately $1.5 billion in managed assets and a growing team of professionals, Warwick combines industry expertise with innovative technology, data analytics, and machine learning to drive intelligent investment decisions and maximize asset value.

Data is embedded in every aspect of our business. We leverage extensive public and private datasets to identify opportunities, optimize asset management strategies, and continuously evaluate risk.  This position offers a unique opportunity to work cross-functionally with multiple departments while expanding your knowledge of the oil and gas industry.

JOB OVERVIEW


Warwick is seeking an experienced Reservoir Engineering Analyst to add to the Cross-Basin Subsurface team. The primary responsibility of this role is to provide data management, analytics, reporting, and quality control for relevant reservoir engineering data to support reservoir engineers in field optimization, asset development, and acquisition and divestiture evaluations. We are targeting candidates with a passion for integrating high quality subsurface data to make data informed development decisions. The individual in this role will work with all members of our fully integrated team including Geology, Operations, GIS, Data Science, Land, Accounting, and Investments.


JOB RESPONSIBILTIES

  • Maintain ARIES databases to a high level of currency and data accuracy, including managing 3P property cases, updating assumptions, and delivering accurate cash flow runs
  • Work cross functionally to ensure reservoir engineering data consumed by other departments is current, accurate, and is appropriately applied for the use
  • Assist reservoir engineers with creating or updating ARIES cases for well proposal AFE evaluations and help manage impacts of operated and non-operated development plans on 3P inventory
  • Design and implement Quality Control checks to maintain data integrity
  • Identify current needs for reservoir engineering tools and work to design and implement tools to effectively and efficiently meet consumer needs
  • Ability to create analytical tools for the reservoir engineering department using tools such as Spotfire and PowerBI
  • Create and maintain reservoir engineering standard operating procedures and process documents
  • Conduct necessary reporting to other disciplines and to leadership
  • Cross train to support other reservoir engineering workflows such as corporate reserves and A&D evaluations

QUALIFICATIONS

  •  Bachelor’s degree required
  • 5+ years of multi-basin reservoir engineering analyst experience, preferred both operated and non-operated environments
  • Experienced in ARIES, Microsoft Access, Spotfire, and Enerdeq/Enverus
  • Experience in ComboCurve, Whitson, SQL, and PowerBI is a plus
  • Strong data management skills
  • Strong attention to detail and proactive approach to problems
  • Ability to manage multiple projects/initiatives at once and operate in a fast-paced environment
  • Must have demonstrated experience working with multidisciplinary teams with a proven record as a strong team player
  • Ability to interact and communicate effectively with individuals across disciplines
  • Highly motivated self-starter with the aptitude to innovate and be open to new ideas
  • Ability to demonstrate sound judgment and progress projects in ambiguous situations
     

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