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Staff Data Scientist
2 months ago
We are seeking a highly skilled Staff Data Scientist to join our team at Mercedes-Benz Research & Development North America. As a key member of our Data and AI team, you will be responsible for designing, developing, and presenting novel machine learning techniques and applications.
Key Responsibilities- Lead Research Topics: You will lead research topics through multiple phases related to automotive machine learning solutions, including experimentation and validation, proof of concept, tuning, and constraint adjustment.
- Support Development Teams: You will provide support and insight to development teams responsible for implementing machine learning techniques in a native head unit environment.
- Presentation and Demo: You will present and demo research topics to Mercedes-Benz internal groups and at external events such as academic conferences and tradeshows.
- Team Collaboration: You will define, interface, and manage relationships with other teams within MBRDNA and Mercedes-Benz organizations.
- Agile Environment: You will work closely with a proactive, highly motivated engineering team to bring next-generation infotainment and telematics solutions to Mercedes-Benz products worldwide.
- Education: Master's or PhD in Computer Science, Electrical Engineering, Math, Statistics, or related fields.
- Experience: 4+ years of professional experience in Machine Learning.
- Skills: Strong programming skills in Python, with experience in ML frameworks such as PyTorch and TensorFlow.
- Track Record: Demonstrated track record of developing and implementing machine learning algorithms in a product environment.
- Understanding: Deep understanding of machine learning fundamentals and ability to keep up with the bleeding edge of research in the field.
- Communication: Excellent communication, organizational, critical thinking, problem-solving, and analytical skills, effectively engaging with both technical and non-technical audiences.
- Experience: Experience in one or more of the following areas: Recommendation Systems, Bayesian inference and Gaussian processes, Time series, GNNs, Information retrieval and Data mining, Natural Language Processing.
- Distributed Data Processing: Experience in distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam.
- Competitive Salary: The successful candidate's starting pay will be determined based on a wide range of factors, including job-related education, skills, and experience, geographic location, and market conditions.
- Benefits: Medical, dental, and vision insurance for employees and their families, 401(k) with employer match, up to 18 company-paid holidays, paid time off, sick time, and parental leave, tuition assistance program, wellness/fitness reimbursement programs, and vehicle lease subsidy or company car (for eligible employees only).
