Description

You will develop custom data models and algorithms to analyze business-critical datasets, primarily consisting of images.

Responsibilities

• Develop custom data models and algorithms to extract insights from large datasets.
• 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 and product life-cycle development.
• Assess the effectiveness of new data sources and gathering techniques.

Required Skills

• 3+ years of experience using Python, SQL, or R to manipulate large datasets.
• 3+ years of experience in Computer Science and database technologies including SQL, Oracle, SQLServer, SAP HANA, or NoSQL.
• 3+ years of proficiency in one or more programming languages: 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 such as clustering, decision tree learning, and artificial neural networks.
• Intermediate knowledge of deep learning architectures including RNN, CNN, and 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