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Mechanical Data Analyst - Python

ARI

Virginia • Today

Full-time

USD 75,000.00 - 80,000.00 per year

Data Analyst - Python, PySpark, AI, LLM, AWS - ZL

SES

Hybrid in Reston, Virginia • 4d ago

Easy Apply

Full-time

Depends on Experience

Data Analyst / Data Scientist – Python, SQL, Power BI

Techno Talent Inc.

Tysons, Virginia • 16d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Scientist with Python and SQL

TrustMinds, Inc.

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Remote Data Solutions Engineer - Python/PowerBi

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$25 - $40

Senior Data Engineer/ Databricks, PySpark, Python

EPAM Systems

Remote • Today

Full-time

Data Engineer (Snowflake, Python, AI/ML Data Pipelines)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$52 - $60

Sr Data Engineer/ Palantir Foundry/ Python

Radyant Inc.

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Senior Staff Data Engineer - Python

The Search Solutions, LLC

Remote • 8d ago

Easy Apply

Full-time

150,000 - 180,000

Remote Lead Data Architect - Snowflake/SQL/Python

Motion Recruitment Partners, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Full-time

USD 160,000.00 per year

Remote Senior Analytics Engineer - Python/Data Visualization

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

USD 40.00 per hour

Data Analyst

Accenture LLP

Chantilly, Virginia • Today

Full-time

USD 103,200.00 - 196,400.00 per year

Data Engineer (Python, NiFi) - TS/SCI Poly

Leading Path Consulting LLC

Chantilly, Virginia • Today

Full-time

Data Analyst

Elder Research

Arlington, Virginia • 21d ago

Full-time

Data Analyst

York Solutions, LLC

Remote or Hybrid • Today

Easy Apply

Contract

$60

Data Analyst

Eliassen Group

McLean, Virginia • Today

Contract

Data Analyst

Booz Allen Hamilton

Alexandria, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Data Analyst

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Analyst

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Data Analyst

Endurance IT Services

Richmond, Virginia • Today

Full-time

USD 60,000.00 - 70,000.00 per year

Data Analyst

Noblis

Chantilly, Virginia • Today

Full-time

USD 132,900.00 - 207,750.00 per year

Data Analyst

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Data Analyst

Planet

Arlington, Virginia • Today

Full-time

USD 100,300.00 - 125,400.00 per year

Data Analyst

CACI International, Inc.

Chantilly, Virginia • Today

Full-time

USD 86,600.00 - 181,800.00 per year

Data Analyst

Cayuse Holdings

Remote • Today

Full-time

USD 100,000.00 - 110,000.00 per year

Military Aircraft Data Analyst

Redhorse Corporation

Remote • Today

Full-time

Data Analyst (Dashboard Developer)

Navigant Consulting

Arlington, Virginia • Today

Full-time

Data Analyst

CACI International, Inc.

Norfolk, Virginia • Today

Full-time

USD 75,200.00 - 158,100.00 per year

Data Analyst

Technomics, Inc.

Arlington, Virginia • Today

Full-time

USD 85,000.00 - 150,000.00 per year

Data Analyst

GeoYeti

Springfield, Virginia • Today

Full-time

USD 115,000.00 - 139,000.00 per year

Job Details

Skills

Innovation
Scripting
Dashboard
Collaboration
Software Development
Predictive Analytics
Data Quality
Continuous Improvement
Development Testing
Aerospace
Mechatronics
Computer Science
Data Science
R
Python
Pandas
NumPy
scikit-learn
Predictive Modelling
Data Analysis
Signal Processing
Thermodynamics
Fluid Mechanics
Mechanical Engineering
Data Visualization
Microsoft Power BI
Tableau
Plotly
matplotlib
Analytical Skill
Conflict Resolution
Problem Solving
Sensors
IoT
SCADA
Machine Learning (ML)
Algorithms
Regression Analysis
Cloud Computing
Analytics
Reliability Engineering
Failure Analysis
Time Series

Innovation
Scripting
Dashboard
Collaboration
Software Development
Predictive Analytics
Data Quality
Continuous Improvement
Development Testing
Aerospace
Mechatronics
Computer Science
Data Science
R
Python
Pandas
NumPy
scikit-learn
Predictive Modelling
Data Analysis
Signal Processing
Thermodynamics
Fluid Mechanics
Mechanical Engineering
Data Visualization
Microsoft Power BI
Tableau
Plotly
matplotlib
Analytical Skill
Conflict Resolution
Problem Solving
Sensors
IoT
SCADA
Machine Learning (ML)
Algorithms
Regression Analysis
Cloud Computing
Analytics
Reliability Engineering
Failure Analysis
Time Series

Summary

Job Description

ARi is a fast-growing global engineering firm headquartered in East Peoria, IL, USA. Our power of "I" represents the innovation, intelligence, ingenuity, and insight that differentiates us from our competition. With 1,500+ engineering talent worldwide, representing multiple nationalities and countries, we are well-positioned to deliver sophisticated and custom solutions to our clients

Job Summary

We are seeking an entry-level Condition Monitoring Analytics Developer to develop, test, and implement data-driven solutions for predictive maintenance and equipment health monitoring. This role focuses on applying data science, machine learning, and signal processing techniques to analyze the performance of industrial equipment, particularly engines, pumps, and rotating machinery.

The ideal candidate will have strong Python programming and analytical skills, an understanding of mechanical systems, and an interest in developing predictive models that identify potential equipment failures before they occur.

Duties & Responsibilities

Develop, test, and validate predictive maintenance algorithms and machine learning models for industrial equipment, including engines and pumps.
Design and implement anomaly detection techniques to identify abnormal equipment behavior and potential mechanical failures.
Collect, clean, preprocess, and analyze high-frequency time-series data from IoT sensors, SCADA systems, and equipment telemetry.
Perform feature engineering and extract meaningful information from vibration, temperature, pressure, and other sensor data.
Apply signal processing techniques such as Fast Fourier Transform (FFT), spectral analysis, digital filtering, and time-domain analysis.
Analyze mechanical failure patterns, including bearing wear, cavitation, misalignment, and other equipment performance issues.
Develop Python-based scripts and analytical models using Pandas, NumPy, SciPy, and Scikit-learn.
Create dashboards, reports, and visualizations to communicate equipment health trends and predictive maintenance insights.
Collaborate with Reliability Engineers, Mechanical Engineers, Data Scientists, and Software Development teams to validate analytical models.
Support the integration and deployment of predictive analytics solutions into cloud-based or edge-computing platforms.
Troubleshoot data quality issues, improve model accuracy, and support continuous improvement of condition monitoring solutions.
Document model development, testing results, and technical findings.

Requires Skills

Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Mechatronics, Computer Science, Data Science, or a related quantitative field.
2+ years with strong programming skills in Python (preferred) or R.
Familiarity with Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Basic understanding of machine learning, predictive modeling, and anomaly detection.
Knowledge of time-series data analysis and signal processing concepts, including FFT and digital filtering.
Understanding of mechanical engineering fundamentals, including engines, pumps, thermodynamics, fluid mechanics, and mechanical failure modes.
Experience with data visualization tools such as Power BI, Tableau, Plotly, or Matplotlib.
Strong analytical, troubleshooting, and problem-solving abilities.
Ability to communicate technical findings and translate data insights into actionable recommendations.

Preferred Skills

Academic projects, internships, or hands-on experience involving predictive maintenance, condition monitoring, or equipment health analytics.
Experience analyzing vibration, temperature, pressure, or other industrial sensor data.
Familiarity with rotating machinery, internal combustion engines, centrifugal pumps, or industrial equipment.
Exposure to IoT platforms, SCADA systems, or fleet telemetry data.
Experience with machine learning algorithms for anomaly detection, classification, regression, or failure prediction.
Familiarity with cloud-based analytics platforms or edge-computing applications.
Knowledge of reliability engineering, failure analysis, or condition-based maintenance.
Experience working with high-frequency time-series data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX19a8ce
Position Id: 529d20272c2de3965568b8498540dcec
Posted 4 days ago

Fitment

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Job Details

Skills

Innovation
Scripting
Dashboard
Collaboration
Software Development
Predictive Analytics
Data Quality
Continuous Improvement
Development Testing
Aerospace
Mechatronics
Computer Science
Data Science
R
Python
Pandas
NumPy
scikit-learn
Predictive Modelling
Data Analysis
Signal Processing
Thermodynamics
Fluid Mechanics
Mechanical Engineering
Data Visualization
Microsoft Power BI
Tableau
Plotly
matplotlib
Analytical Skill
Conflict Resolution
Problem Solving
Sensors
IoT
SCADA
Machine Learning (ML)
Algorithms
Regression Analysis
Cloud Computing
Analytics
Reliability Engineering
Failure Analysis
Time Series

Innovation
Scripting
Dashboard
Collaboration
Software Development
Predictive Analytics
Data Quality
Continuous Improvement
Development Testing
Aerospace
Mechatronics
Computer Science
Data Science
R
Python
Pandas
NumPy
scikit-learn
Predictive Modelling
Data Analysis
Signal Processing
Thermodynamics
Fluid Mechanics
Mechanical Engineering
Data Visualization
Microsoft Power BI
Tableau
Plotly
matplotlib
Analytical Skill
Conflict Resolution
Problem Solving
Sensors
IoT
SCADA
Machine Learning (ML)
Algorithms
Regression Analysis
Cloud Computing
Analytics
Reliability Engineering
Failure Analysis
Time Series

Summary

Develop, test, and validate predictive maintenance algorithms and machine learning models for industrial equipment, including engines and pumps.
Design and implement anomaly detection techniques to identify abnormal equipment behavior and potential mechanical failures.
Collect, clean, preprocess, and analyze high-frequency time-series data from IoT sensors, SCADA systems, and equipment telemetry.
Perform feature engineering and extract meaningful information from vibration, temperature, pressure, and other sensor data.
Apply signal processing techniques such as Fast Fourier Transform (FFT), spectral analysis, digital filtering, and time-domain analysis.
Analyze mechanical failure patterns, including bearing wear, cavitation, misalignment, and other equipment performance issues.
Develop Python-based scripts and analytical models using Pandas, NumPy, SciPy, and Scikit-learn.
Create dashboards, reports, and visualizations to communicate equipment health trends and predictive maintenance insights.
Collaborate with Reliability Engineers, Mechanical Engineers, Data Scientists, and Software Development teams to validate analytical models.
Support the integration and deployment of predictive analytics solutions into cloud-based or edge-computing platforms.
Troubleshoot data quality issues, improve model accuracy, and support continuous improvement of condition monitoring solutions.
Document model development, testing results, and technical findings.

Requires Skills

Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Mechatronics, Computer Science, Data Science, or a related quantitative field.
2+ years with strong programming skills in Python (preferred) or R.
Familiarity with Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Basic understanding of machine learning, predictive modeling, and anomaly detection.
Knowledge of time-series data analysis and signal processing concepts, including FFT and digital filtering.
Understanding of mechanical engineering fundamentals, including engines, pumps, thermodynamics, fluid mechanics, and mechanical failure modes.
Experience with data visualization tools such as Power BI, Tableau, Plotly, or Matplotlib.
Strong analytical, troubleshooting, and problem-solving abilities.
Ability to communicate technical findings and translate data insights into actionable recommendations.

Preferred Skills

Academic projects, internships, or hands-on experience involving predictive maintenance, condition monitoring, or equipment health analytics.
Experience analyzing vibration, temperature, pressure, or other industrial sensor data.
Familiarity with rotating machinery, internal combustion engines, centrifugal pumps, or industrial equipment.
Exposure to IoT platforms, SCADA systems, or fleet telemetry data.
Experience with machine learning algorithms for anomaly detection, classification, regression, or failure prediction.
Familiarity with cloud-based analytics platforms or edge-computing applications.
Knowledge of reliability engineering, failure analysis, or condition-based maintenance.
Experience working with high-frequency time-series data.

Dice Id: RTX19a8ce
Position Id: 529d20272c2de3965568b8498540dcec
Posted 4 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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