Remote Senior Automotive Data Scientist

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote-friendly

Competitive salary

Medical benefits

Retirement plan

Training resources

International team

Flexible schedule

Career advancement

Work-life balance

Job summary

Placements24 seeks a Senior Automotive Data Scientist to extract insights from vast automotive datasets, supporting product, marketing, and operations. You will lead advanced models, mentor teammates, and shape the company’s data strategy, working fully remotely within South Africa.

You should have 6+ years in data science, strong Python/R skills, and experience with SQL/NoSQL, and big data tools. The role offers competitive compensation and remote collaboration with an international team.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.
• Minimum of 6 years of professional experience in data science, with automotive, IoT, or manufacturing exposure.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong SQL and NoSQL experience; data warehousing concepts.
• Experience with big data technologies (Spark, Hadoop) is a plus.
• Excellent data visualization skills (Tableau, Power BI, Matplotlib).
• Strong communication and problem-solving abilities; remote work capability.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms for automotive datasets.
• Identify trends and correlations across vehicle performance, customer behavior, and manufacturing metrics.
• Design and run A/B tests and experiments to validate hypotheses and interventions.
• Build and maintain data pipelines ensuring data quality and accessibility for analysis.
• Create visualizations and dashboards to communicate insights to technical and non-technical stakeholders.
• Collaborate with product, engineering, and business teams to define KPIs and analytics needs.
• Mentor junior data scientists and contribute to the data strategy.
• Present findings to senior leadership to influence business decisions.

Skills

Python

R

SQL

NoSQL

ML/DL

Data visualization

Education

Master's degree

PhD

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client, a global leader in automotive innovation, is seeking a highly accomplished Senior Automotive Data Scientist to join their expanding team. This position is fully remote, offering the flexibility to work from anywhere within South Africa. You will play a critical role in extracting actionable insights from vast datasets generated by connected vehicles, manufacturing processes, and customer interactions. Your expertise will drive data-driven decision-making across various departments, including product development, marketing, and operations. This role demands a strong foundation in statistical modeling, machine learning, and a deep understanding of the automotive domain. As a Senior Data Scientist, you will lead complex analytical projects, mentor junior team members, and contribute to the strategic direction of our client's data initiatives from the comfort of your home office.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze large, complex automotive datasets.
• Identify trends, patterns, and correlations within vehicle performance data, customer behavior, and manufacturing metrics.
• Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of data-driven interventions.
• Build and maintain data pipelines, ensuring data quality, integrity, and accessibility for analytical purposes.
• Create compelling data visualizations and dashboards to communicate insights to both technical and non-technical stakeholders.
• Collaborate with engineering, product management, and business teams to define key performance indicators (KPIs) and analytical requirements.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and apply them to automotive challenges.
• Mentor and guide junior data scientists, fostering a collaborative and knowledge-sharing environment.
• Contribute to the development of the company's data strategy and roadmap.
• Present findings and recommendations to senior leadership, influencing strategic business decisions.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, with a significant portion focused on the automotive industry or related fields (e.g., IoT, manufacturing).
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and NoSQL databases, as well as data warehousing concepts.
• Demonstrated ability to apply machine learning techniques (e.g., regression, classification, clustering, deep learning) to solve real-world problems.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
• Strong analytical and problem-solving abilities, with meticulous attention to detail.
• Exceptional communication and presentation skills, capable of explaining complex technical concepts clearly.
• Proven ability to work independently and manage multiple projects effectively in a remote setting.

Benefits

• This is a fully remote position offering a highly competitive salary, performance bonuses, and comprehensive medical and retirement benefits.
• Our client invests heavily in employee development, providing access to cutting-edge training resources, online courses, and opportunities to attend virtual conferences.
• You will work with a talented, international team on cutting-edge automotive data projects.
• We offer a flexible work schedule and generous paid time off, promoting an excellent work-life balance.
• Employees have access to the latest software and analytical tools.
• Opportunities for career advancement into leadership roles are available as the data science team grows.
• Join us and shape the future of mobility through data, from anywhere.