Remote Automotive Data Scientist - WhatJobs Direct

Placements24

LegKraal Gate

Hybrid

ZAR 1,494,000 - 2,158,000

Full time

5 days ago
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Benefits offered by this job

Home office allowance
Stock grants
Career development opportunities
Remote-friendly culture
Medical coverage

Job summary

Placements24 seeks a Remote Automotive Data Scientist to leverage large vehicle datasets for predictive maintenance, driver behavior analysis, and performance optimization. You will design experiments, build models, and translate insights into automotive products and services.

The role emphasizes statistical modeling, ML, and data mining with Python/R, Spark, and cloud platforms, in a remote-first, globally distributed team.

Qualifications

  • Advanced degree in a quantitative field is required.
  • Proven experience in data science with statistical modeling and ML.
  • Proficiency in Python or R and relevant libraries (Pandas, NumPy, Scikit-learn).
  • Experience with big data platforms (SQL, Spark, Hadoop).
  • Strong visualization and communication skills.

Responsibilities

  • Collect, clean, and process large automotive datasets from sensors and telematics.
  • Develop and deploy advanced statistical models and ML algorithms.
  • Analyze data to identify trends in vehicle performance and maintenance.
  • Build predictive models for failure, maintenance, and driving efficiency.
  • Collaborate with engineers and product managers to embed insights into products.
  • Design experiments to test hypotheses and assess solution effectiveness.
  • Visualize findings and present to technical and non-technical stakeholders.
  • Maintain data pipelines and analytical tools for ongoing R&D.
  • Stay updated with advances in data science and automotive tech.
  • Contribute to best practices in automotive data analysis.

Skills

Python
R
Machine learning
Statistical modeling
Data visualization
Experiment design
Communication

Education

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

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
SQL
Spark
Hadoop
Tableau

Job description

About the Role

Our client, a leader in developing advanced automotive technologies and intelligent mobility solutions, is seeking a highly skilled Remote Automotive Data Scientist. This position is pivotal in leveraging vast amounts of vehicle data to drive innovation, optimize performance, and enhance user experiences. You will work on challenging projects involving predictive maintenance, driver behavior analysis, performance optimization, and the development of data-driven features for connected vehicles. The ideal candidate possesses a strong background in statistical modeling, machine learning, data mining, and has a keen interest in the automotive domain. Our client embraces a remote-first work culture, providing a flexible and collaborative environment for its global team. You will have the opportunity to shape the future of automotive data analytics and contribute to groundbreaking advancements in the industry from your home office.

Key Responsibilities
  • Collect, clean, and process large datasets from various automotive sources (e.g., vehicle sensors, telematics, user interactions).
  • Develop and implement advanced statistical models and machine learning algorithms for data analysis and prediction.
  • Analyze complex datasets to identify trends, patterns, and insights related to vehicle performance, usage, and maintenance.
  • Build predictive models for issues such as component failure, optimal maintenance scheduling, and driving efficiency.
  • Collaborate with software engineers and product managers to integrate data-driven insights into automotive products and services.
  • Design and conduct experiments to test hypotheses and evaluate the effectiveness of data-driven solutions.
  • Visualize data and communicate findings effectively to technical and non-technical stakeholders through reports and presentations.
  • Develop and maintain data pipelines and analytical tools to support ongoing research and development.
  • Stay current with the latest advancements in data science, machine learning, and automotive technology.
  • Contribute to the development of best practices and methodologies for automotive data analysis.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Proven experience as a Data Scientist, with a strong portfolio demonstrating expertise in statistical modeling and machine learning.
  • Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience with big data technologies and platforms (e.g., SQL, Spark, Hadoop).
  • Solid understanding of statistical methods, experimental design, and hypothesis testing.
  • Experience in the automotive industry or with vehicle data is highly desirable.
  • Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
  • Excellent problem-solving and analytical skills.
  • Effective communication and presentation skills, with the ability to explain complex concepts clearly.
  • Self-motivated and capable of working independently in a remote setting, managing projects effectively.
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
Benefits

Our client offers a highly competitive salary and a comprehensive benefits package, including excellent medical coverage, retirement planning options, and potential for stock grants. Employees are provided with a generous home office allowance and support for continuous learning through online courses, conferences, and professional development opportunities. The company fosters an innovative, collaborative, and flexible work environment, recognizing the importance of work-life balance for its remote team members. You will be at the forefront of automotive data science, driving impactful innovations that shape the future of mobility. Our client is committed to empowering its remote workforce and providing the resources for both professional and personal growth.

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