Senior Data Scientist - Manufacturing Data (US)

Lever, Inc.; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Gauss Labs is seeking a Data Scientist to lead the development of AI applications for manufacturing clients. You will extract insights from customer data, build tailored models, and interact with customers to understand their needs.

You will also collaborate with cross-functional teams to design innovative AI products and features based on data understanding. You will join a team focused on revolutionizing industrial AI and will present findings to stakeholders across technical and non-technical

Qualifications

• BS or MS in Engineering, Science, or a related field.
• 3+ years of AI or data science project leadership in manufacturing or semiconductor.
• Proficiency in Python and SQL.
• Willingness to travel domestically up to 20% of time.

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 data-driven solutions.
• Work with internal teams to ensure feasible, scalable, and aligned solutions.
• Present findings to both technical and non-technical stakeholders.

Skills

Python

SQL

Education

BS in Engineering/Science

MS in Computer Science/Data Science

Tools

AWS

Azure

Google Cloud

Job description

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.

Join a team of passionate innovators dedicated to revolutionizing the future of manufacturing. Take the lead in pioneering cutting-edge AI initiatives that directly impact real-world outcomes. Collaborate with a diverse and talented group of experts where your ideas will be highly valued, and your contributions will drive Gauss Labs towards becoming the global leader in industrial AI innovation.

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