What are the responsibilities and job description for the Data Scientist position at Toyoda Gosei North American Corporation?
Summary:
The Toyoda Gosei Group is a leading global manufacturer of rubber and plastic automotive components, safety systems and LEDs. Globally Headquartered in Japan with a network of 67 group companies in 17 countries and regions, the Group brings its extensive range of products to customers all over the world.
Toyoda Gosei North America (headquartered in Troy, MI) has an opening for a Data Scientist in the CIS department. The Data Scientist functions with a high degree of autonomy and is responsible for building and optimizing data systems, creating Machine Learning models, analyzing Big Data for Toyoda Gosei (TG) North America Corporation (TGNA), and TG Americas Manufacturing Companies (AMCs).
Primary Duties and Responsibilities:
- Design and select the most appropriate modeling techniques and data visualization for Big Data analysis
- Perform analysis to determine functional/user, and conceptual/logical/physical design requirements for system and user interface design and functionality
- Design and implement Reports and Dashboards using BI tools
- Participate in projects aimed at improving prediction, driving optimization, and developing processes via advanced statistical / mathematical methods in an enterprise production environment
- Maintain up-to-date algorithms and methods for Machine Learning and Analytics
- Create and Utilize AI to improve efficiencies
- Consistently engage in learning activity to stay abreast of mathematical and technical methodology as it applies to data visualization Provide expertise and support to AMCs on data quality and software process improvement (SPI)
- Assist in the development of a proprietary IOT system, ensuring machine interoperability and centralized data aggregation
- Collaborate with AMCs to centralize & ensure horizontal deployment (Yokoten) of data modeling knowledge/standards
- Collaborate cross functionally to ensure effective system deployment, including training, for all AMCs
- Drive optimization by being actively engaged in continuous improvement efforts (Kaizen)
- This role requires the completion of other duties as assigned
Qualifications and Competencies:
- Minimum of Bachelors degree in Computer Science, Statistics, Applied Math (or other related areas) or equivalent years of relevant experience is required; Master degree preferred
- Able to understand various data structures and common methods in data transformation
- Experience in statistical modeling, machine learning, or data mining practice
- Experience in SQL, relational databases, database concepts, dimensional modeling and database design
- Experience with BI tools
- Experience with AI tools
- Proficient in one or more programming languages such as C#, Python, .NET
- Strong analytical and quantitative problem solving ability
- Ability to consistently meet deadlines is required
- Effective verbal, non-verbal, negotiation and written communication skills are required
- Ability to sustain a high degree of professionalism in interacting with internal and external customers is required
- Effective attention to detail, problem solving, analytical and organizational skills is required
Benefits (subject to eligibility):
- Hybrid Work Style (if eligible)
- Insurance (Health, Dental, Vision, Prescription Drug Program)
- Company Paid STD, LTD, Life, and AD&D
- Generous Employer Contribution to HSA
- Short and Long Term Disability
- 401K Company Match
- Paid Time Off/Holidays
- Free Employee Assistance Plan (EAP)
- Reimbursement Programs (Cellphone, Tuition, Vehicle, etc.)
- Multiple Free Wellness Programs Offered
