Automotive Data Scientist - Predictive Maintenance

Placements24; Willows (CA); Hybrid; USD 36,000 - 54,000; Full time

Job summary

Placements24 is seeking an Automotive Data Scientist in a hybrid Welkom, Free State role focused on predictive maintenance using vehicle data. You will build models to anticipate failures and optimize maintenance, handling large sensor datasets and dashboards for stakeholders.

The ideal candidate has a strong quantitative background, time-series expertise, and experience with Python/R and ML libraries. Automotive context is a plus.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or related quantitative field.
• Proven experience as a Data Scientist with predictive modeling portfolio.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and database management; big data tech a plus.
• Strong background in statistical modeling, ML algorithms, and data mining.
• Experience with time-series and sensor data; automotive knowledge is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in a hybrid environment balancing office and remote work.

Responsibilities

• Collect, clean, and preprocess large datasets from vehicle sensors and logs.
• Develop ML models for predicting component failures and maintenance needs.
• Design experiments to validate model accuracy and effectiveness.
• Analyze data patterns to identify root causes and recommend actions.
• Create visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with engineers and product managers to integrate solutions.
• Stay updated on advances in data science and automotive tech.
• Develop algorithms for anomaly detection, performance and reliability analysis.
• Ensure data integrity, security, and regulatory compliance.
• Contribute to strategic data science initiatives within the company.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Time-series analysis

Data visualization

Education

Master's or PhD in Data Science, Statistics, CS, or related field

Tools

Python

R

SQL

Spark

Hadoop

Job description

About the Role

Our client, a progressive automotive technology company located in Welkom, Free State , is looking for a skilled Automotive Data Scientist to focus on predictive maintenance solutions. This role is crucial for leveraging vast amounts of vehicle data to build models that anticipate component failures and optimize maintenance schedules. You will work with large datasets, applying advanced statistical and machine learning techniques to extract actionable insights. This hybrid role combines collaborative work at our Welkom office with the flexibility of remote work. We seek a candidate with a strong quantitative background, experience in data analysis and modeling, and a keen interest in the automotive sector. The opportunity to work on groundbreaking projects that enhance vehicle reliability and reduce operational costs makes this a highly rewarding position. Join a team of experts dedicated to shaping the future of automotive care through data-driven innovation.

Key Responsibilities

• Collect, clean, and preprocess large datasets from vehicle sensors, maintenance logs, and performance metrics.
• Develop and implement machine learning models for predicting component failures and identifying potential issues before they occur.
• Design and execute experiments to validate predictive models and assess their accuracy and effectiveness.
• Analyze complex data patterns to identify root causes of vehicle issues and recommend preventative actions.
• Create data visualizations and dashboards to communicate findings and insights to technical and non-technical stakeholders.
• Collaborate with automotive engineers and product managers to integrate data-driven solutions into vehicle systems and maintenance strategies.
• Research and stay updated on the latest advancements in data science, machine learning, and automotive technology.
• Develop algorithms for anomaly detection, performance optimization, and reliability analysis.
• Ensure data integrity, security, and compliance with relevant regulations.
• Contribute to the strategic direction of data science initiatives within the company.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of predictive modeling projects.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and database management.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience working with time-series data and sensor data.
• Knowledge of the automotive industry and vehicle systems is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a hybrid environment, balancing remote and on-site responsibilities.

Benefits

• Our client offers a competitive salary and a comprehensive benefits package designed to support employee well-being and professional growth.
• The hybrid work arrangement in Welkom, Free State provides a balanced approach to work and personal life.
• Employees have access to continuous learning opportunities, including workshops, conferences, and advanced training programs.
• Our client fosters a collaborative and innovative work culture, encouraging employees to contribute their ideas and make a significant impact.
• This role presents a unique chance to apply your data science expertise in the exciting and rapidly evolving automotive sector.