About the Role
Our client, a leader in automotive analytics and AI solutions, is seeking an experienced and innovative Senior Automotive Data Scientist to join their team in Kimberley, Northern Cape . This role is critical for leveraging vast amounts of automotive data to develop predictive models, gain actionable insights, and drive strategic decision-making across various aspects of the automotive lifecycle, including manufacturing, vehicle performance, customer behavior, and maintenance. You will work with cutting-edge machine learning techniques and big data technologies to solve complex challenges. The ideal candidate will have a strong background in statistical modeling, machine learning, and data mining, combined with a passion for the automotive industry. This hybrid position offers an exciting opportunity to shape the future of automotive insights through data-driven innovation, working within a collaborative and technologically advanced setting. We are looking for a proactive and analytical individual who can translate complex data into meaningful business value.
Key Responsibilities
- Develop, implement, and deploy advanced machine learning models for automotive applications (e.g., predictive maintenance, driver behavior analysis, vehicle performance optimization).
- Analyze large and complex datasets from various automotive sources to identify trends, patterns, and actionable insights.
- Collaborate with engineering, product, and business teams to understand data needs and define analytical approaches.
- Design and execute experiments to validate hypotheses and measure the impact of data-driven solutions.
- Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders through visualizations and presentations.
- Stay current with the latest advancements in data science, machine learning, and AI relevant to the automotive sector.
- Contribute to the development of data pipelines and ensure data quality and integrity.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Explore new data sources and analytical techniques to uncover novel insights.
- Ensure ethical considerations and data privacy are maintained in all data science activities.
Requirements
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a significant focus on developing and deploying machine learning models.
- Proven experience in the automotive industry or with automotive datasets is highly preferred.
- Strong proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Expertise in SQL and experience working with big data technologies (e.g., Spark, Hadoop).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization and communication skills.
- Ability to work effectively in a hybrid work environment.
- Strong problem-solving and critical thinking abilities.
- Experience with cloud platforms (AWS, Azure, GCP) for data science applications is a plus.
Benefits
- Competitive annual salary package of R .
- Hybrid work model offering flexibility and work-life balance.
- Opportunity to work with state-of-the-art automotive data and AI technologies.
- Contribute to innovation in a key sector of the economy.
- Comprehensive health and retirement benefits.
- Professional development and continuous learning opportunities.
- Collaborative and supportive team environment in Kimberley .
Senior Automotive Data Scientist - Kimberley employer: Placements24
Our client offers an exceptional remote working environment for Tax Specialists, providing unparalleled flexibility and autonomy while ensuring a competitive salary package and performance bonuses. With a strong focus on continuous professional development, employees are encouraged to grow their expertise in South African tax law, all within a supportive culture that values strategic thinking and collaboration across departments.
