Senior Data Scientist - Manufacturing Data (US)
Palo Alto, CA
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingDesign 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.
From the employer’s posting
Responsibilities Design and implement customized AI solutions for manufacturing. Analyze manufacturing data to uncover opportunities and develop AI models.
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.
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.
What you’ll bring
All qualificationsCore experience
- 3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field.
- Proficiency in data science tools: Python and SQL.
- Ability to work independently and as part of a team.
Preferred experience
- Experience in predictive modeling and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Excellent communication skills, with the ability to simplify complex technical concepts.
Qualification wording
3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field.
Proficiency in data science tools: Python and SQL.
Ability to work independently and as part of a team.
Experience in predictive modeling and cloud platforms (e.g., AWS, Azure, Google Cloud).
Excellent communication skills, with the ability to simplify complex technical concepts.
Tools in this posting
- Python
- AWS
- Azure
- SQL
- Google Cloud (GCP)
Source — Tool mentions in context
- 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.
- 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.
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.
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Palo Alto, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 2, 2026
- Recorded sightings
- 4
- Last seen by us
- Oct 12, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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