Remote Automotive Data Scientist

Placements24; Durban; Hybrid; ZAR 14,820,000 - 22,230,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Bonuses potential

Global collaboration

Access to advanced tools and tech

Job summary

Placements24 is seeking a highly analytical Data Scientist for a fully remote role in the automotive sector. You will leverage vast vehicle datasets to build predictive models, analyze driver behavior, and contribute to autonomous driving initiatives.

You will collaborate with engineering, product, and R&D teams to translate insights into actionable strategies, design experiments, and deploy models in production. A strong background in ML, statistics, and cloud platforms is required.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, CS, Engineering, or related field.
• 4+ years of experience as a Data Scientist, preferably in automotive or related industries.
• Proficiency in Python or R and libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch.
• Strong SQL and database management experience.
• Experience with distributed computing frameworks like Spark.
• Solid knowledge of ML algorithms, statistical modeling, and experimental design.
• Excellent data visualization and communication skills.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Ability to work independently in a remote team.

Responsibilities

• Collect, clean, and process large automotive datasets from sensors, telematics, and interactions.
• Develop, implement, and validate predictive models using machine learning and statistical techniques.
• Analyze data to identify trends, patterns, and insights related to vehicle performance and driver behavior.
• Design and conduct A/B tests and other experiments to evaluate the impact of new features or algorithms.
• Collaborate virtually with cross-functional teams to understand business needs and translate them into data science problems.
• Develop dashboards and reports to communicate findings and recommendations to stakeholders.
• Stay current with the latest advancements in data science, machine learning, and automotive technology.
• Contribute to the development and maintenance of data infrastructure and pipelines.
• Build and deploy machine learning models into production environments.

Skills

Statistical analysis

Machine learning

Data visualization

Remote collaboration

Education

Master's or Ph.D. in Data Science / Statistics / CS / Engineering

Tools

Python

R

SQL

Spark

TensorFlow

PyTorch

Pandas

NumPy

scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client, a pioneering force in the automotive industry pushing the boundaries of connected car technology, is seeking a highly analytical and skilled Remote Automotive Data Scientist. This fully remote position allows you to leverage vast amounts of vehicle data to drive innovation in areas such as predictive maintenance, driver behavior analysis, autonomous driving systems, and enhanced user experiences. You will work with massive datasets, employing advanced statistical analysis, machine learning, and data mining techniques. The ideal candidate has a passion for automotive applications, a strong quantitative background, and experience in building and deploying data-driven models. You will collaborate virtually with engineering, product, and R&D teams to translate complex data insights into actionable business strategies and product improvements. This role offers the unique opportunity to shape the future of the automotive experience from anywhere in the world, contributing to groundbreaking advancements in vehicle intelligence and connectivity.

Key Responsibilities

• Collect, clean, and process large and complex automotive datasets from various sources (e.g., vehicle sensors, telematics, user interactions).
• Develop, implement, and validate predictive models using machine learning and statistical techniques.
• Analyze data to identify trends, patterns, and insights related to vehicle performance, driver behavior, and system reliability.
• Design and conduct A/B tests and other experiments to evaluate the impact of new features or algorithms.
• Collaborate virtually with cross-functional teams to understand business needs and translate them into data science problems.
• Develop dashboards and reports to communicate findings and recommendations to stakeholders.
• Stay current with the latest advancements in data science, machine learning, and automotive technology.
• Contribute to the development and maintenance of data infrastructure and pipelines.
• Build and deploy machine learning models into production environments.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with a focus on automotive or related industries.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and database management.
• Proven ability to work with large datasets and distributed computing frameworks (e.g., Spark).
• Solid understanding of machine learning algorithms, statistical modeling, and experimental design.
• Excellent data visualization and communication skills.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Demonstrated ability to work independently and effectively in a remote team environment.

Benefits

• Highly competitive salary and potential for bonuses.
• Fully remote work arrangement, providing ultimate flexibility and autonomy.
• Opportunity to work with cutting-edge automotive data and contribute to significant industry advancements.
• Collaborate with a passionate and diverse team of experts globally.
• Access to advanced tools and technologies for data analysis and model development.
• Professional growth opportunities and continuous learning support.
• Be at the forefront of connected car technology and data-driven automotive innovation.