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Reliability Data Scientist Jobs (NOW HIRING)

Analytica

Junior Data Scientist

Bethesda, MD · On-site +1

The data scientist will support a variety of military healthcare tasks including advanced ... Execute thorough quality control procedures to ensure high reliability, data integrity, and ...

GC-Squared Resources, LLC

Data Scientist

Required : • Prior experience in equipment reliability, predictive maintenance or physics-based ... Data Science or related field • 2-5 years of experience applying data science modeling or ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... ensure data availability and reliability * Utilize AWS analytics services Athena Redshift ...

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

The role optimizes throughput, latency, and reliability, establishes SLAs and observability, and ... Data Scientist II * Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 ...

VTG

Data Scientist

Mclean, VA · On-site

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

RELX Group plc

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness ...

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness ...

RELX

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness ...

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness ...

Koantek

Data Scientist

Chandler, AZ · On-site

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Monitor, maintain, and improve model performance and reliability. * Work with structured and ...

Koantek

Data Scientist

Chandler, AZ

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Monitor, maintain, and improve model performance and reliability. Work with structured and ...

Apple

Data Scientist

Cupertino, CA · On-site

Description We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating routing service quality, ensuring its accuracy and reliability, and ...

VTG

Data Scientist

Mclean, VA · On-site

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

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All JobsReliability Data Scientist Jobs

Reliability Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do reliability data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for reliability data scientist 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 the key skills and qualifications needed to thrive as a reliability data scientist?

To thrive as a Reliability Data Scientist, you need a strong background in statistics, machine learning, data analysis, and reliability engineering, often supported by a degree in engineering, mathematics, or computer science. Familiarity with programming languages like Python or R, statistical analysis tools, and reliability modeling software such as Weibull++ is typically required. Strong problem-solving abilities, attention to detail, and clear communication skills help you translate complex data insights into actionable strategies for cross-functional teams. These skills are vital for accurately predicting system failures, optimizing maintenance, and driving improvements in product reliability and operational efficiency.

What is a reliability data scientist?

A Reliability Data Scientist is a professional who applies data science techniques to assess, predict, and improve the reliability and performance of systems, products, or processes. They analyze large datasets to identify failure patterns, root causes, and opportunities for preventive maintenance. By using statistical models and machine learning, Reliability Data Scientists help organizations reduce downtime, optimize maintenance schedules, and enhance overall operational efficiency.

How does a reliability data scientist typically collaborate with engineering and operations teams to improve system reliability?

A Reliability Data Scientist works closely with engineering and operations teams by analyzing large volumes of equipment and process data to identify potential failure patterns and root causes. They often participate in cross-functional meetings, share predictive models, and translate complex findings into actionable recommendations for maintenance schedules or design improvements. This collaboration ensures that technical insights are aligned with practical constraints and operational needs, ultimately enhancing system uptime and performance. Effective communication and a strong understanding of both data science and engineering principles are key to success in this collaborative environment.

What is the difference between Reliability Data Scientist vs Data Analyst?

AspectReliability Data ScientistData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or engineering; certifications in reliability or data analysis are a plusUsually holds a degree in statistics, mathematics, or related field; certifications vary
Work EnvironmentWorks in industries like manufacturing, aerospace, or energy, focusing on reliability and predictive modelingWorks across various industries, analyzing data to support business decisions
Employer & Industry UsageUsed by engineering and maintenance teams to improve system reliabilityUsed by marketing, finance, and operations teams for insights and reporting

The Reliability Data Scientist specializes in analyzing data to predict and improve system reliability, often working closely with engineering teams. In contrast, Data Analysts focus on interpreting data to support business decisions across various sectors. While both roles require strong analytical skills, the Reliability Data Scientist emphasizes predictive modeling and reliability metrics.

More about Reliability Data Scientist jobs
What job categories do people searching Reliability Data Scientist jobs look for? The top searched job categories for Reliability Data Scientist jobs are:
Reliability Data Scientist jobs near you
Infographic showing various Reliability Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Operations Data Scientist

Diamondback Energy

Midland, TX • On-site

Full-time

Re-posted 16 days ago

Diamondback Energy rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

27th of 86 rated oil and gas companies

Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
The Operations Data Scientist transforms complex operational, production, and reliability data into actionable insights that improve decision-making, optimize performance, and support strategic initiatives. This role partners with cross-functional teams to develop predictive models, analytics, and reporting solutions that enhance operational efficiency, reduce risk, and improve asset reliability. The ideal candidate combines strong technical expertise with the ability to translate business challenges into data-driven solutions and effectively communicate insights to both technical and non-technical audiences.
Job Duties and Responsibilities:
Include but are not limited to:
  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
  • Perform forecasting, scenario modeling, and techno-economic analysis to support planning, prioritization, and capital allocation decisions.
  • Design and support proactive monitoring tools (e.g., Operate-by-Exception workflows) to identify high-risk assets and emerging operational issues.
  • Build and maintain dashboards, reports, and executive-level summaries using business intelligence tools.
  • Write and manage SQL queries, data transformations, and analytical data models within cloud-based data platforms.
  • Collaborate with cross-functional teams (Operations, Engineering, Maintenance, Reliability, IT, and Finance) to define requirements and deliver scalable data solutions.
  • Support data integration, data quality, and governance to ensure accurate, consistent, and reliable reporting.
  • Identify and implement opportunities for automation, advanced analytics, and process improvements.
  • Present insights and recommendations, translating data into clear, actionable business strategies.

Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Analytics, or a related STEM field.
  • 7+ years of experience in data science, advanced analytics, or a related quantitative field.
  • Strong proficiency in Python and SQL for data analysis, modeling, and transformation.
  • Experience working with operational, production, maintenance, or time-series data.
  • Strong foundation in statistics, applied mathematics, and machine learning methods.
  • Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or similar).
  • Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, or Spotfire).
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to work independently while collaborating effectively across technical and business teams.
  • Strong communication skills, with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:
  • Master's degree in Data Science, Statistics, Engineering, Analytics, or a related field.
  • Experience in oil and gas, industrial operations, manufacturing, or other asset-intensive environments.
  • Familiarity with reliability modeling techniques (e.g., Weibull, Cox proportional hazards, Kaplan-Meier).
  • Experience with anomaly detection, predictive maintenance, and asset performance optimization.
  • Experience supporting digital transformation initiatives, Operate-by-Exception workflows, or AI-enabled solutions.
  • Experience with image analytics, drone inspection analytics, or computer vision

Relocation:
This position is not available for relocation assistance.
Work Authorization:
Diamondback Energy is not currently sponsoring employment visas for this position.
Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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