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Data Scientist

HRU Tech

Data Scientist

Sterling Heights, MI
Full Time
Paid
  • Responsibilities

    Position: Data Scientist

    Location: Sterling Heights, MI

    Pay: $55–$65/hour

    Type: Long-Term Contract

    Overview

    We are looking for a highly motivated Data Scientist to join our team supporting Predictive Maintenance (PdM) technologies for combat vehicles. This is a unique opportunity to apply your data expertise in a critical defense-related environment, working with advanced sensor data and machine learning systems.

    You will collaborate with engineers, analysts, and other stakeholders to drive data-informed decisions that improve vehicle reliability and performance.

    Key Responsibilities

    • Design, develop, and implement predictive models for vehicle component failure using data from multiple onboard systems and sensors.

    • Perform statistical analysis , hypothesis testing, and data interpretation to identify actionable insights.

    • Translate business and engineering needs into technical data requirements.

    • Build and maintain interactive dashboards and visualizations to present insights to both technical and non-technical audiences.

    • Work closely with cross-functional teams to deploy and monitor predictive algorithms in real-world applications.

    • Continuously refine models and stay updated with the latest industry trends and AI innovations.

    • Contribute to the advancement of PdM strategies through research and experimentation.

    Required Technical Skills

    • Strong expertise in machine learning , deep learning , and statistical modeling.

    • Proficiency in Python (including Pandas, NumPy, Scikit-learn); experience with MATLAB and C/C++ is a plus.

    • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

    • Skilled in writing complex SQL queries and working with normalized databases.

    • Familiarity with big data technologies such as Hadoop, Spark, or Hive.

    • Experience with ML frameworks: TensorFlow, Keras, or PyTorch.

    • Knowledge of reliability engineering methods , including FMEA and risk analysis.

    • Understanding of vehicle communication protocols (CAN, Ethernet).

    Preferred Soft Skills

    • Strong analytical thinking and creative problem-solving abilities.

    • Excellent communication and presentation skills, able to convey complex concepts clearly.

    • Collaborative team player who thrives in cross-disciplinary environments.

    • Strong time management and ability to handle multiple priorities effectively.

    Education & Experience

    • Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

    • Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.

    • United States Citizenship is a requirement.

    Equal Opportunity Employer

    You should be proficient in:

    • Data Analysis and Manipulation

    Salary info:

    $55 - $65 / hr