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Machine Learning Petroleum Engineer Jobs in Decatur, MI

Varsity Tutors

Linear Algebra Tutor

Kalamazoo, MI · Remote

$40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Aerotek

CNC Mill Machinist

Elkhart, IN

$20.75 - $27.75/hr

Demonstrate a commitment to continuous learning and skill development in CNC machining. Essential ... Programming knowledge of G and M code to edit or create CNC programs at the machine. * Ownership of ...

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Statics Tutor

Kalamazoo, MI · Remote

$40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics and Dynamics Tutor

Kalamazoo, MI · Remote

$40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

IDEX

Engineering Technician - Manufacturing

Portage, MI · On-site

$22 - $30/hr

Operate machining equipment * Experience working on a manufacturing floor * Perform visual ... Opportunities for career growth, technical development, and continuous learning * Our second shift ...

IDEX

Manufacturing Technician

Portage, MI · On-site

$22 - $30/hr

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Operate machining equipment * Experience working on a manufacturing floor * Perform visual ...

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All JobsMachine Learning Petroleum Engineer JobsMachine Learning Petroleum Engineer Jobs in Decatur, MI

Machine Learning Petroleum Engineer information

See Decatur, MI salary details

$29.1K

$118.8K

$178.6K

How much do machine learning petroleum engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for machine learning petroleum engineer in Decatur, MI is $118,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $143,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Petroleum Engineer, you need a strong background in petroleum engineering, programming (such as Python or R), and applied machine learning, usually supported by a relevant engineering degree. Familiarity with data analysis platforms, machine learning frameworks (like TensorFlow or Scikit-learn), and petroleum industry software (such as Petrel or Eclipse) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for integrating technical insights with business goals. These competencies enable the effective application of data-driven solutions to optimize exploration, production, and operational efficiency in the energy sector.

How does a Machine Learning Petroleum Engineer typically collaborate with geoscientists and drilling teams to optimize oil and gas production?

A Machine Learning Petroleum Engineer works closely with geoscientists and drilling teams by integrating data-driven models into exploration and production workflows. They analyze geological, seismic, and operational data to develop predictive algorithms that identify optimal drilling locations, forecast reservoir performance, and improve recovery rates. Regular collaboration involves translating complex data insights into actionable recommendations that guide drilling strategies and inform real-time decisions, ensuring all teams are aligned to maximize efficiency and safety. This multidisciplinary approach fosters continuous learning and innovation across teams.

What is a Machine Learning Petroleum Engineer?

A Machine Learning Petroleum Engineer is a specialist who combines expertise in petroleum engineering with machine learning and data science techniques. They use advanced algorithms and data analytics to optimize oil and gas exploration, drilling, production, and reservoir management. Their work helps improve decision-making, reduce operational costs, and increase efficiency by analyzing large datasets from various sources such as sensors, seismic data, and production logs. These professionals often work closely with geoscientists, data engineers, and other stakeholders in the energy sector.

What is the difference between Machine Learning Petroleum Engineer vs Reservoir Engineer?

AspectMachine Learning Petroleum EngineerReservoir Engineer
Required CredentialsBachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learningBachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation
Work EnvironmentData analysis, modeling, software development in oil & gas companiesReservoir modeling, field development planning in oil & gas operations
Industry UsageApplying machine learning to optimize extraction, predict reservoir behaviorEstimating reservoir properties, managing production strategies

The Machine Learning Petroleum Engineer focuses on integrating data science and machine learning techniques to optimize oil extraction processes, while the Reservoir Engineer specializes in modeling and managing subsurface reservoirs to maximize recovery. Both roles are vital in the oil & gas industry but differ in their core skills and daily tasks.

What job categories do people searching Machine Learning Petroleum Engineer jobs in Decatur, MI look for? The top searched job categories for Machine Learning Petroleum Engineer jobs in Decatur, MI are:
What cities near Decatur, MI are hiring for Machine Learning Petroleum Engineer jobs? Cities near Decatur, MI with the most Machine Learning Petroleum Engineer job openings:
Machine Learning Petroleum Engineer jobs near you

Supply Chain Data Science Manager

Whirlpool

Benton Harbor, MI • On-site

Full-time

PTO

Posted 11 days ago

Whirlpool rating

7.5

Company rating: 7.5 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

74th of 139 rated electronics manufacturers

Job description

Requisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As theonly major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating result.
This role in summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI.
We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your responsibilities will include
Strategy and People Leadership
  • Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
  • Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
  • Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.

Technical Execution and Innovation
  • End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP-extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses and BI dashboards (Tableau, Looker).
  • GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
  • Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.

Minimum requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • 5+ years of total experience in data analytics, data science, or data engineering.
  • 2+ years of experience leading people or managing complex technical projects.
  • Strong proficiency in SQL for complex data extraction and manipulation.
  • Strong proficiency in Python for statistical modeling and machine learning.

Preferred skills and experiences
  • Advanced Education: Master's degree in Engineering, Data Analytics, Statistics, or Computer Science.
  • Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
  • Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
  • Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
  • Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
  • Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.

Additional information
Whirlpool's Ways of Working
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what's important at work and at home, including:
  • Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
  • Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
  • Sabbatical - Four weeks paid leave after every five years of service.

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Connect with us and learn more about Whirlpool Corporation
See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.

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