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Predictive Maintenance Data Science Jobs Jobs (NOW HIRING)

Amrize

Predictive Maintenance Specialist

Florence, CO · On-site

$21.25 - $29/hr

Predictive Maintenance Specialist | Location: Portland Cement Plant CO, Chicago Office IL ... This position will leverage advanced technologies and data analytics to enhance the efficiency ...

Amrize

Predictive Maintenance Specialist

Hagerstown, MD · On-site

$20.50 - $28.25/hr

Predictive Maintenance Specialist | Location: Portland Cement Plant CO, Chicago Office IL ... This position will leverage advanced technologies and data analytics to enhance the efficiency ...

Amrize

Predictive Maintenance Specialist

Chicago, IL · On-site

$21.50 - $29.50/hr

Predictive Maintenance Specialist | Location: Portland Cement Plant CO, Chicago Office IL ... This position will leverage advanced technologies and data analytics to enhance the efficiency ...

Amrize

Predictive Maintenance Specialist

Florence, CO · On-site

$21.25 - $29/hr

Predictive Maintenance Specialist| Location: Portland Cement Plant CO, Chicago Office IL ... This position will leverage advanced technologies and data analytics to enhance the efficiency ...

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Predictive Maintenance Data Science Jobs information

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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.

Predictive Maintenance Data Consultant

ATS - Industrial Maintenance

Greenville, SC • On-site

$80K - $103K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Ready to turn signals into solutions?

If you love finding patterns in complex machine data and rallying people around clear next steps, this role is for you. As a Predictive Maintenance Data Consultant, you’ll remotely assess equipment health, tackle challenging alerts as a secondary support resource, and help customers take the right action at the right time. For deeper, high-complexity scenarios, you’ll collaborate with Senior Condition Monitoring Experts to advance analysis and communication.

Imagine this

A pump starts to drift. Ultrasound shows a subtle shift, vibration hints at imbalance, and oil analysis reveals contamination. You connect the dots, isolate the likely cause, and guide the team to the fix—before failure. That’s your mission.

How you’ll deliver
  • Apply data analysis tools across ultrasound, vibration, lubrication, and other sensor streams to detect component degradation early.
  • Trace trend changes to probable causes and recommend proactive, targeted corrective actions that reduce downtime and costs.
  • Create concise asset health summaries, critical findings, and root cause narratives that turn analytics into front-line action.
  • Host standing review calls; respond to inbound/escalated inquiries via phone and platform; engage Senior Condition Monitoring Experts on advanced cases.
  • Act as secondary triage for customer requests, resolving independently when possible or routing appropriately.
  • Work directly with technicians to support troubleshooting, data capture, and on-the-job implementation of fixes.
  • Audit device installations, validate signal quality, and deliver initial insights during the program’s first baseline pass.
  • Lead customer training and technical consultations on data interpretation and corrective strategies.
  • Quantify value by estimating cost savings and surfacing continuous improvement initiatives.
What you’ll need
  • Associate degree or equivalent technical education with 4 years of relevant experience, or a comparable combination of education and experience.
  • Experience in industrial manufacturing and predictive maintenance disciplines.
  • Strong command of machine diagnostics and complex operating systems.
  • Clear, customer-first communication skills.
Bonus credentials
  • Progress toward NDT Level I (Ultrasound, Thermography/Infrared, Vibration).
  • ISO Category I in Lubrication/Oil Analysis.
  • ISO Category II in Vibration.
Core strengths
  • Safety
  • Customer Focus
  • Communication
Physical requirements and environment

Expect regular standing and walking; frequent hands-on keyboard and device work; reaching; and occasional stooping, kneeling, or crouching. You’ll often use a headset/phone for verbal troubleshooting and a computer for ticket documentation, with occasional use of standard office equipment. At times, you may lift or move items exceeding 30 pounds. Extended sitting and tasks needing close and color vision may occur. Work typically takes place in a moderately noisy office setting.

Compensation and benefits

ATS champions pay equity. Final compensation may vary within, above, or below the listed range based on education, training, experience, professional accomplishments, business priorities, and location. We offer robust benefits: Medical, Dental, and Vision coverage; PTO; a 401(k) with employer match; tuition reimbursement; and more.

Pay Range: $80,697.47 - $103,204.94 USD