Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

• Design and architecture key ML/AI products in automotive domain
• Analyze telematics data with Big Data tools and platforms
• Partner with Engineering teams on projects to identify and articulate opportunities to use data to improve the product.
• Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous engineering challenges, where advanced analytics, AI and machine learning can have the biggest impact.

Skills and Experience

• Technical expertise and in-depth knowledge in one or more of the following ML topics: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNs, Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
• Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
• Experience with distributed computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
• Experience with data presentation and visualization with tools such as Tableau, Grafana and other similar tools.
• Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive
• Excellent communication and presentation skills.

Qualifications

• Advanced degree in Computer Science, Mechanical engineering, Statistics or related STEM field.
• 4+ years of Data or Machine learning Science experience working on highly complex problems in a dynamic setting
• Strong programming skills, especially in Python, or C/C++ with 3+ years of relevant experience in a programming intensive role.

Nice to Haves

• Relevant experience in EV or Automotive and autonomous driving is a huge plus
• Experience with telematics data analytics and decision modeling is a plus
• Hands-on experience with cloud computing and HPC or other cloud and distributed platforms e.g. Airflow, Kubernetes, Kubeflow, MLFlow, etc. is a plus.