As a Data Scientist, you will play a pivotal role in aligning our AI solutions with the unique needs of our manufacturing clients. Your primary responsibility will be to lead the development of state-of-the-art AI applications that tackle complex industry challenges, driving innovation and enhancing productivity.
We are seeking an experienced data scientist capable of extracting valuable insights from manufacturing data. Your tasks will include mining, interpreting, and analyzing customer data to discover hidden opportunities and fully leverage its potential. Also, your role will involve direct interaction with customers to grasp their challenges and to understand their unique data characteristics. By closely engaging with customers, you will develop tailored data models and tools to meet their specific needs. Additionally, you will collaborate with our cross-functional teams to conceive, design, and develop innovative AI products for manufacturing by identifying new product features based on the understanding of customer data.
Responsibilities- Design and implement customized AI solutions for manufacturing.
- Analyze manufacturing data to uncover opportunities and develop AI models.
- Collaborate with customers to understand their requirements and deliver clear, data-driven solutions.
- Work closely with our internal teams to ensure solutions are feasible, scalable, and aligned with product strategy.
- Present findings to both technical and non-technical stakeholders.
Basic Qualifications- BS/MS in Engineering, Science, or a related field.
- 3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field.
- Strong problem-solving skills and customer-focused mindset.
- Proficiency in data science tools: Python and SQL.
- Ability to work independently and as part of a team.
- Travel domestically to customer sites as needed (up to 20% of working hours).
Preferred Qualifications- MS in Computer Science, Data Science, or related field.
- Experience in predictive modeling and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Excellent communication skills, with the ability to simplify complex technical concepts.
[Interview Process]
Application review - Phone interview - Virtual onsite interview - VP interview & Core Value interview - CEO interview
