Data Scientist

Overview:

Responsibilities:

Qualifications:

• Accelerates and supports the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases for quality improvement in the area of manufacturing.

• Deals with large volumes of data, understands and explores data critical to company business.

• Drives data for future company processes and products.

• Works with different company business units to understand the business demands with respect to Artificial Intelligence and Quality Assessment.

• Conducts advanced analytical tasks, designs deep learning models, data mining, and computer vision to enable the company to improve its products, services and processes.

• Analyzes business critical data and recommends improvements.

• Works with large data sets consisting of predominantly images and conducts advanced analytics tasks. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Develops custom data models and algorithms to apply to data sets.

• Coordinates with different functional teams to implement models and monitor outcomes.

• Develops processes and tools to monitor and analyze model performance and data accuracy.

• Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.

• Advises developers and engineers on latest data analytics technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team.

• Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.

• Performs other duties as assigned Supervisor

• Bachelor degree in computer science, mathematics/statistics or related field.

• Advanced degree (Masters or PhD) in computer science, mathematics/statistics or a related field (preferred).

• 3+ years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.

• 1+ years proven experience completing projects with a set of various data sources.

• 3+ years of knowledge in using statistical computer languages (Python, SLQL, etc) to manipulate data and draw insights from large data sets

• 1+ years of knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)

• 3+ years of knowledge of in one or more of the following programming languages: Python, Java, C++

• 3+ years of knowledge and experience in Computer Science and in database technologies including SQL, Oracle, SQLServer, SAP HANA and NoSQL databases

• 3+ years of experience in statistical languages and tools in particular R

• 3+ years of experience in problem solving skills with an emphasis on product development

• AWS (Sagemaker, Athena, Glue)

• Machine Learning Experience

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