Remote Automotive Data Scientist - Vereeniging

Placements24; Vereeniging; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Fully remote position

Performance bonuses

Medical aid and retirement provisions

Job summary

Placements24, on behalf of a forward-thinking automotive technology company, seeks a Remote Automotive Data Scientist to join a fully remote team. You will work with vehicle sensor data, build predictive models, and collaborate with engineers, product managers, and other data scientists in a virtual environment.

requires a Master’s or Ph.D. and 6+ years of experience, with Python or R and ML libraries; familiarity with Spark, Hadoop, SQL; remote collaboration skills; competitive salary and

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.
• Minimum of 6 years of professional Data Scientist experience with ML model deployment.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience with large datasets and distributed computing (Spark, Hadoop).
• Strong understanding of statistical modeling, ML algorithms, and data mining.
• Familiarity with SQL and database management.
• Automotive industry or automotive data experience is desirable.
• Excellent analytical, problem-solving and communication skills.
• Strong collaboration skills for remote teams and data visualization (Tableau, Matplotlib).

Responsibilities

• Collect, preprocess large automotive datasets from telemetry, sensors, diagnostics, and feedback.
• Develop and deploy ML models for predictive maintenance, driver behavior, anomaly detection, and performance optimization.
• Conduct EDA to identify trends and correlations in automotive data.
• Design experiments to test hypotheses and evaluate data-driven solutions.
• Visualize model results for technical and non-technical stakeholders.
• Collaborate with software engineers to deploy models into production.
• Stay updated on data science and AI advances in the automotive sector.
• Communicate findings clearly through reports and presentations.
• Contribute to data infrastructure and best practices; mentor junior data scientists.

Skills

Python

R

SQL

Communication

Teamwork

Education

Master's or PhD in Data Science/Statistics/CS/Math

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

Tableau

Matplotlib

Job description

About the Role

Our client, a forward-thinking automotive technology company, is seeking a highly skilled and experienced Remote Automotive Data Scientist to join their innovative team. This is a fully remote position, offering the opportunity to leverage advanced analytics and machine learning techniques to drive improvements in vehicle performance, safety, and user experience. You will work with vast datasets generated from vehicle sensors, telematics, and customer interactions to extract actionable insights, build predictive models, and develop data-driven solutions. The ideal candidate will possess a strong quantitative background, expertise in data science methodologies, and a passion for the automotive industry. You will collaborate with engineers, product managers, and other data scientists in a virtual environment, contributing to the future of intelligent vehicles.

Key Responsibilities

• Collect, clean, and preprocess large, complex datasets from various automotive sources (e.g., telematics, sensor logs, diagnostics, customer feedback).
• Develop and implement machine learning models for applications such as predictive maintenance, driver behavior analysis, anomaly detection, and performance optimization.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations within automotive data.
• Design and execute experiments to test hypotheses and evaluate the effectiveness of data-driven solutions.
• Visualize data and model results effectively for technical and non-technical stakeholders.
• Collaborate with software engineers to deploy models into production environments.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, particularly as they apply to the automotive sector.
• Communicate findings and recommendations clearly and concisely through reports and presentations.
• Contribute to the development of data infrastructure and best practices within the data science team.
• Mentor junior data scientists and contribute to a culture of data-driven decision-making.

Requirements

• A Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• A minimum of 6 years of professional experience as a Data Scientist, with a strong focus on building and deploying machine learning models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Familiarity with SQL and database management.
• Experience in the automotive industry or with automotive data is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Experience with data visualization tools (e.g., Tableau, Matplotlib).

Benefits

This is a fully remote position offering significant flexibility. Our client provides a highly competitive salary, performance bonuses, and excellent benefits package including medical aid and retirement contributions. You will have the opportunity to work on cutting-edge projects shaping the future of automotive technology, collaborate with a talented international team, and benefit from continuous learning and professional development resources. Access to advanced tools and platforms is provided. This role is perfect for experienced data scientists looking to apply their skills to the exciting challenges within the automotive domain, regardless of their proximity to Vereeniging .