Description

You will develop custom data models and algorithms to analyze business-critical image datasets.

Responsibilities

• Extract insights from large datasets using custom machine learning techniques.
• Coordinate with functional teams to implement models and monitor performance outcomes.
• Build tools and processes to monitor model accuracy and data integrity.
• Consult with developers and engineers to provide guidance on data analytics technologies.
• Assess the effectiveness of new data sources and gathering techniques.

Required Skills

• 3+ years of experience manipulating large datasets using Python, SQL, or R.
• 3+ years of experience with Computer Science and database technologies (SQL, Oracle, SQL Server, SAP HANA, or NoSQL).
• 3+ years of proficiency in programming languages such as Python, Java, or C++.
• 3+ years of experience in problem solving with an emphasis on product development.
• 1+ years of experience applying machine learning techniques including clustering, decision tree learning, and artificial neural networks.
• Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM).
• Experience with deep learning frameworks such as TensorFlow or Keras.
• 1+ years of experience completing projects involving various data sources.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.

Preferred Skills

• Master's or PhD in Computer Science, Mathematics, or Statistics.
• Experience with AWS services including SageMaker, Athena, and Glue.
• Experience applying analytics to automotive industry datasets.

Key Skills

Education

Bachelor's degree