Expert Data Scientist - Machine Learning
Description For Expert Data Scientist - Machine Learning
Aptiv, a global technology leader with 180,000+ employees across 44 countries, is seeking an Expert Data Scientist specializing in Machine Learning. This role combines cutting-edge automotive technology with data science, focusing on developing autonomous vehicle systems. The position involves designing and implementing machine learning solutions for vehicle autonomy, working with big data analytics, and creating cloud-based processing systems. The ideal candidate will work on next-generation vehicle software systems, combining technical expertise with practical application in the automotive industry. Aptiv offers a comprehensive benefits package, including healthcare, pension plans, and flexible working arrangements. The company's mission focuses on creating safer, greener, and more connected mobility solutions, making this an opportunity to impact the future of transportation technology. The role offers significant growth potential in an inclusive environment, with access to advanced resources and the latest AI/ML technologies.
Responsibilities For Expert Data Scientist - Machine Learning
- Design research and development of new technologies related to data mining and big data for vehicles autonomy
- Define metrics for quantification of performance of next generation vehicle software systems
- Design cloud services and applications for big data storage, processing and analysis
- Provide estimates and insights regarding required and missing data and outlier analysis
- Perform formal statistical characterization and analysis of big data sets
- Enhance data collection procedures
- Define machine learning and artificial intelligence models, features design and training procedures
Requirements For Expert Data Scientist - Machine Learning
- M.Sc. degree in computer science or related
- Knowledge of relational and non-relational databases (PostgreSQL, MySQL, MongoDB)
- Proficiency in Python or R with related data processing and ML libraries
- Knowledge of data engineering tools (Hadoop, Kafka, Spark, Airflow or Kubeflow)
- Familiarity with cloud environments (Azure or AWS)
- Practical experience in data science, data mining, statistics, and analysis of large data sets
- Good communication skills
Benefits For Expert Data Scientist - Machine Learning
- Private health care (Signal Iduna) and Life insurance
- Well-Being Program including webinars, workshops, and networking events
- Access to sports groups and Multisport card
- Hybrid work (min. 47 days/yr of remote work, flexible working hours)
- Employee Pension Plan paid by employer (3.5% on gross salary)
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