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MAU is hiring a Data Scientist for our client in Greer, SC. As a Data Scientist, you will accelerate and support the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases regarding quality improvement in manufacturing. This is a long-term contract assignment with an opportunity for hire by the client.

Our client, a premier automotive company, is located in the upstate area of SC.

Benefits Package:

• Major medical coverage, including dental and vision
• 401k with employer matching
• Term life
• Short-term disability
• Accidental loss
• Uniform allowance
• Paid time off
• Paid holidays
• Market leading pay
• Opportunity for advancement

Shift Information:

• 8:00 AM – 5:00 PM

Required Education and Experience:

• Bachelor’s degree in Computer Science, Mathematics/Statistics, or other related field
• 3+ years of post-university experience in advanced analytics in data science and applying data analytics methods to automotive industry datasets
• 1+ year(s) of proven experience completing projects with various data sources
• 3+ years of knowledge in using statistical computer languages (Python, SLQL, etc.) to manipulate data and draw insights from large datasets
• 1+ year(s) of expertise regarding a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks
• Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)
• 3+ years of experience in statistical languages and tools
• 3+ years of experience in problem-solving with an emphasis on product development

Preferred Requirements:

• Master’s degree or Ph.D.
• Process/project management experience or training/certifications

Essential Functions:

• Drive data for future company processes and products
• Collaborate with various business units to understand the business demands regarding Artificial Intelligence and Quality Assessment
• Conduct advanced analytical tasks
• Design deep learning models, data mining, and computer vision to enable the company to improve its products, services, and processes
• Analyze critical business data and recommend improvements
• Work with large datasets consisting predominantly of images, conducting advanced analytics tasks
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Collaborate with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Develop custom data models and algorithms to apply to datasets
• Coordinate various functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Serve as an internal consultant to other developers and engineers, assisting in all phases of product lifecycle development
• Advise developers and engineers on the latest data analytics technologies and help process matters regarding development and support
• Provide necessary on-the-job training and development of associates and contractors within the team
• Maintain accurate, meaningful, and updated technical and nontechnical documentation of all aspects of assigned areas
• Perform other tasks as assigned

MAU Workforce Solutions is an innovative global company with extensive experience providing solutions for success in staffing, recruiting, technology and outsourcing to our clients, employees, and applicants. Headquartered in Augusta, GA since 1973, MAU is a family and minority-owned company offering better processes and better people to create efficiencies and greater profits for our clients. Our relationships with world-class companies, our training programs and our culture of family allow MAU to offer better results, better jobs, and better lives to those who work with us.

All Applicants must submit to background check and drug screening

Disclaimer: This job description is not designed to be a complete list of all duties and responsibilities required of the position

EOE