Ace Technologies

Location : Virginia Beach, Virginia, United States
Duration :12+months
Job Description:
We are seeking an entry-level Condition Monitoring Analytics Developer with 2+ years of experience in Python programming, data analytics, and machine learning to develop predictive maintenance solutions for industrial equipment, including engines, pumps, and rotating machinery.
Key Responsibilities:
<ul>
<li>Develop predictive maintenance models, anomaly detection algorithms, and equipment health analytics.</li>
<li>Analyze high-frequency time-series data from IoT sensors, SCADA systems, and equipment telemetry.</li>
<li>Apply signal processing techniques such as FFT, spectral analysis, and digital filtering to vibration and sensor data.</li>
<li>Use Python libraries including Pandas, NumPy, SciPy, and Scikit-learn for data processing and modeling.</li>
<li>Identify mechanical failure patterns and create visualizations and reports to communicate insights.</li>
<li>Collaborate with engineering and data science teams to validate and deploy predictive analytics solutions.</li>
</ul>
Required Skills:
<ul>
<li>Bachelor’s degree in Mechanical, Aerospace, Mechatronics, Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience with Python or R and data analytics.</li>
<li>Knowledge of machine learning, anomaly detection, time-series analysis, and signal processing.</li>
<li>Understanding of mechanical systems, engines, pumps, and equipment failure modes.</li>
<li>Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly.</li>
</ul>

Predictive Maintenance Data Analyst_W2 Only

Predictive Maintenance Data Analyst_W2 Only

This job is no longer available

Talents

Recruiters

About