Join our dynamic team as a Senior Data Science Engineer, focusing on the automotive domain. This role is ideal for experienced professionals with 6-10 years in data science, ready to lead the development and deployment of sophisticated data models and algorithms. Leverage your expertise in Python, PyTorch, and TensorFlow to tackle complex business challenges and drive innovation.

This position demands an advanced skill set in data science, machine learning, and artificial intelligence, with a particular emphasis on deep learning frameworks. A strong command of Python is crucial for implementing algorithms, training models, and ensuring seamless deployment. You will be instrumental in applying cutting-edge AI techniques to extract valuable insights and solve intricate problems.

Lead the design and implementation of advanced data science models and algorithms. Apply expertise in Python, PyTorch, and TensorFlow to solve complex business problems. Utilize Google Cloud Platform, including Vertex AI and BigQuery, for data management and cloud services. Employ containerization technologies like Docker for reproducible ML workflows. Collaborate effectively within cross-functional teams to foster data-driven decision-making. Ensure streamlined development processes through proficiency with version control systems. Build data pipelines using Google Cloud Dataflow and perform relevant data manipulation. Contribute to the advancement of data science initiatives within the automotive sector.

Possess 6-10 years of experience in Data Science, with a strong background in the automotive domain. Demonstrate advanced skills in data science, machine learning, and artificial intelligence, with a focus on deep learning frameworks. Exhibit a strong proficiency in Python for algorithm implementation, model training, and deployment. Be adept at using Google Cloud Platform, specifically Google Cloud Vertex AI and BigQuery, for large-scale data management. Hold essential experience with containerization technologies like Docker. Showcase excellent collaboration skills for effective teamwork. Maintain proficiency with version control systems. A Master’s degree in Data Science or Machine Learning is required, complemented by a Bachelor’s degree in Computer Science. Certifications such as the TensorFlow Developer Certificate and Google Cloud Professional Data Engineer are advantageous. Familiarity with Google Cloud Dataflow for data pipeline construction is beneficial.