Position: Data Scientist

Location: Sterling Heights, MI

Pay: 55-65/hour

Long term contract

Description

We are seeking a talented and motivated Data Scientist to provide technical expertise and support for Predictive Maintenance (PdM) Technologies for our Combat Vehicles.

The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to uncover insights from data and help drive data-driven decision-making.

Key Responsibilities

• Develop and implement machine learning-based models and algorithms to predict vehicle components failure and maintenance needs, collecting and analyzing data from various vehicle sensors and systems.
• Perform statistical analysis and hypothesis testing.
• Collaborate with stakeholders to understand business needs and translate them into data requirements.
• Create data visualizations and dashboards to communicate findings to non-technical audiences.
• Collaborate with stakeholders to ensure effective implementation of predictive maintenance models.
• Continuously monitor and improve the performance of existing models.
• Continuously improve predictive maintenance processes and technologies through research and innovation and stay up-to-date with the latest industry trends and technologies and best practices.

Technical skills

• Solid knowledge and proven experience with Statistical Analysis, Data Mining, Pattern Recognition, Machine Learning, Deep Learning, Classification, and Clustering,
• Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
• Solid knowledge and proven experience with complex SQL scripting, queries, and database normalization methods for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch).
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Knowledge of Reliability Testing, Risk Analysis:  Failure Modes and Effects Analysis (FMEA)
• Good programming skills in Python, MATLAB, and C/C++.
• Knowledge of communication protocols (e.g., CAN, Ethernet).

Soft skills

• Strong problem-solving and analytical skills.
• Strong verbal written communication, and presentation skills
• Ability to work well in a team environment and collaborate with various stakeholders.
• Problem solving and analytical skills to identify issues, troubleshooting problems and find solutions.
• Time management - ability to prioritize tasks and manage time efficiently.

Education

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience as a Data Scientist or in a similar role.

Equal Opportunity Employer