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Predictive Maintenance Data Science Jobs Jobs (NOW HIRING)

Siemens

Principal Data Scientist

Raleigh, NC · On-site

$122K - $210K/yr

Beyond leading our core data science practice - predictive maintenance, asset health, failure prediction, capital forecasting, and decision optimization - you'll spearhead two strategic initiatives ...

Agropur

Predictive Maintenance Technician

Jerome, ID · On-site

$16.75 - $23/hr

The Predictive Maintenance Technician I is responsible for executing the plant's Predictive ... Collect, manage and analyze thermography data, vibration analysis data, and ultra-sonic analysis ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government ...

PacifiCorp

Predictive Maintenance Specialist

Huntington, UT · On-site

$19 - $26/hr

... Predictive Maintenance/Machinery Reliability Specialist will provide expertise with equipment ... Monitor critical rotating equipment including collection of route data, regular preventive ...

PacifiCorp

Predictive Maintenance Specialist

Gillette, WY · On-site

$18.25 - $25/hr

... Predictive Maintenance Specialist will provide expertise with equipment condition monitoring ... Monitor critical rotating equipment including collection of route data, regular preventive ...

neptune technologies

Data Scientist

Duluth, GA

... predictive models, and collaborating with cross-functional teams to deploy data science solutions ... maintenance. • Analyze large-scale time-series data from IoT devices and water utility operations ...

Neptune

Data Scientist

Duluth, GA · On-site

... predictive models, and collaborating with cross-functional teams to deploy data science solutions ... maintenance. • Analyze large-scale time-series data from IoT devices and water utility operations ...

JLL

Predictive Maintenance technician

San Diego, CA · On-site

$19 - $26.25/hr

Predictive Maintenance Technician - JLL What this job involves: The Predictive Maintenance ... Collect and accurately record equipment performance data using handheld diagnostic tools, sensors ...

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Predictive Maintenance Data Science Jobs information

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$37.5K

$122.7K

$196.5K

How much do predictive maintenance data science jobs jobs pay per year?

As of Jun 19, 2026, the average yearly pay for predictive maintenance data science jobs in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data scientists working in predictive maintenance, and how can they be addressed?

Data scientists in predictive maintenance often face challenges such as dealing with imbalanced or incomplete datasets, integrating data from different sources (like sensors and maintenance logs), and ensuring model interpretability for stakeholders. Addressing these challenges involves collaborating closely with domain experts to validate data quality, using advanced techniques like data augmentation or anomaly detection, and clearly communicating results with maintenance teams. Building robust, scalable models also requires staying updated on the latest machine learning methods and best practices in industrial data science.

What are the key skills and qualifications needed to thrive in Predictive Maintenance Data Science jobs, and why are they important?

To thrive in Predictive Maintenance Data Science roles, you need a solid background in statistics, machine learning, and data analysis, often supported by a degree in data science, engineering, or a related field. Familiarity with tools such as Python, R, SQL, and predictive analytics platforms, along with experience using sensors and IoT data, is commonly required. Strong problem-solving abilities, communication skills, and the ability to work cross-functionally help data scientists translate insights into actionable maintenance strategies. These skills enable professionals to accurately predict equipment failures, reduce downtime, and drive operational efficiency.

What is the difference between Predictive Maintenance Data Science Jobs vs Machine Learning Engineer in the same industry?

AspectPredictive Maintenance Data Science JobsMachine Learning Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; experience with predictive analyticsDegree in Computer Science, Software Engineering, or related; strong programming skills
Work EnvironmentIndustrial settings, manufacturing plants, or maintenance teamsTech companies, R&D labs, or software development teams
Industry UsageUsed primarily in manufacturing, energy, and industrial sectors for equipment maintenanceUsed across various industries for developing scalable machine learning solutions

Predictive Maintenance Data Science Jobs focus on analyzing sensor data to predict equipment failures, often in industrial environments. Machine Learning Engineers develop and deploy scalable ML models across diverse applications. While both roles require data science and programming skills, predictive maintenance roles are more industry-specific, whereas ML engineering is broader in scope.

What are predictive maintenance data science jobs?

Predictive maintenance data science jobs involve using data analysis, machine learning, and statistical modeling to anticipate when equipment or machinery will require maintenance. Professionals in these roles collect and analyze data from sensors, operational logs, and other sources to identify patterns that precede equipment failures. Their goal is to minimize unplanned downtime, reduce maintenance costs, and improve equipment reliability by predicting issues before they occur. These jobs often require expertise in data science, engineering principles, and domain knowledge relevant to the specific industry.
Infographic showing various Predictive Maintenance Data Science Jobs job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Analyst, Predictive Maintenance

Analyst, Predictive Maintenance

Enterprise Products Partners L.P.

Houston, TX • On-site

$65K - $84K/yr

Other

Posted 3 days ago

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

1st of 50 rated energy and utility

Job description

Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.   

The Predictive Maintenance Analyst is responsible for monitoring and diagnosing equipment performance using advanced predictive analytics software. This role supports operational reliability by identifying emerging equipment issues before failure, triaging anomalies, and engaging subject matter experts across corporate and field teams to resolve reliability concerns. This position offers a unique opportunity to apply analytical and collaboration skills within a complex midstream oil and gas environment, directly contributing to improved equipment uptime, reliability, and performance.

Responsibilities include, but are not limited to:

  •   Monitor and analyze plant equipment performance using predictive analytics platforms such as Seeq, GE Vernova, and Aspen Mtell.

  •   Identify and diagnose anomalies, trends, and patterns in operational data to assess equipment health.

  •   Evaluate and triage predictive alerts, documenting probable causes, severity, and recommended next steps.

  •   Communicate and collaborate with corporate and field subject matter experts (SMEs) and field operations personnel to address identified reliability ussies.

  •   Develop and maintain dashboards and reports to track equipment condition trends and predictive analytics performance. 

  •   Contribute to the continuous improvement of predictive maintenance methodologies, data quality, and anomaly detection strategies.

  •   Support digital transformation initiatives by integrating predictive maintenance insights into reliability and operational workflows.

  •   Ensure consistent documentation and communication of predictive findings to enhance organizational learning and asset reliability.

The successful candidate will meet the following qualifications:

  • 5-10 years of experience in equipment condition monitoring, reliability, or predictive maintenance within oil & gas or similar heavy industrial environments.

  • Strong knowledge of rotating equipment such as centrifugal and reciprocating compressors, pumps, internal combustion engines, gas turbines, and motors.

  • Working knowledge of process and instrumentation systems and how they relate to equipment performance.

  • Hands-on experience with predictive analytics or asset performance monitoring software (Seeq, GE Vernova, Aspen Mtell preferred).

  • Analytical mindset with the ability to translate data trends into actionable reliability insights.

  • Excellent communication and documentation skills; able to engage with both technical and operational stakeholders.

  • Knowledge of plant operations and maintenance.

  • Mechanical, process controls, or technical education background preferred. (degree not required).

  • Preferred certifications:

    • Certified Maintenance & Reliability Professional (CMRP)

    • Vibration Analysis (ISO 18436-2 Category 1 or higher)

    • Certified Reliability Analyst or Predictive Maintenance Specialist

    • Other relevant condition monitoring or reliability-based credentials

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