Data Scientist

PURPOSE: 

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 processes and products. Works with different 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.

RESPONSIBILITIES:

• 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 by MC Operations Supervisor

QUALIFICATIONS:

• 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).
• Three (3) years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.
• One (1) year proven experience completing projects with a set of various data sources.
• Process/project management experience or training/certifications (preferred).

REQUIRED SKILLS:

• Three (3) years of knowledge in using statistical computer languages (Python, SLQL, etc) to manipulate data and draw insights from large data sets
• One ( 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.
• One (1) years’ knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)
• Three (3) years of knowledge of in one or more of the following programming languages: Python, Java, C++
• Three (3) years of knowledge and experience in Computer Science and in database technologies including SQL, Oracle, SQLServer, SAP HANA and NoSQL databases
• Three (3) years of experience in statistical languages and tools in particular R
• Three (3) years of experience in problem solving skills with an emphasis on product development

PHYSICAL REQUIREMENTS:

• Work is normally performed in an office, laboratory, manufacturing floor, or machine shop setting where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
• Must be able to understand and comply with all relevant safety practices.

FLSA STATUS/WORKING SCHEDULE:

• • Location: Greer, SC
  • Schedule: 8:00 – 5:00pm.
  • Assignment Start: ASAP

DISCLAIMER:

SWJ TECHNOLOGY and all of its subsidiaries (i.e., NGE EQUIPMENT and ProjectOne US) are Equal Opportunity Employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, disability status, protected veteran status, or any other characteristic protected by law.