Gauss Labs Logo

Gauss Labs

Senior Data Scientist - Manufacturing Data (US)

Posted Yesterday
Be an Early Applicant
Hybrid
Palo Alto, CA, USA
Senior level
Hybrid
Palo Alto, CA, USA
Senior level
Lead development of customized AI solutions for manufacturing clients. Analyze manufacturing data, build predictive models and tools, identify product opportunities, collaborate with customers and internal teams, and present data-driven findings to technical and non-technical stakeholders.
The summary above was generated by AI

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

HQ

Gauss Labs San Jose, California, USA Office

San Jose, CA, United States

Similar Jobs

19 Minutes Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling and product advice, builds customer relationships, drives sales, supports checkout, and maintains stockroom and sales-floor operations. The role requires strong communication, product knowledge, multitasking, teamwork, flexible scheduling, and the ability to support busy retail periods. Candidates must be able to lift up to 50 pounds occasionally and perform physical activities including bending, kneeling, climbing, and maneuvering throughout the store.
Top Skills: Omni-Channel SellingPoint-Of-Sale (Pos) Systems
58 Minutes Ago
Hybrid
20-38 Hourly
Junior
20-38 Hourly
Junior
eCommerce • Information Technology • Retail • Industrial
Provides onsite technical support to end users by handling inquiries, diagnosing and resolving technical issues, documenting bug reproduction steps, researching solutions, and escalating problems when needed. Reviews transactions, annotates data, follows standardized support processes, performs customer callbacks, maintains current system knowledge, and supports documentation, deployment preparation, and process consistency.
Top Skills: Application Log ReviewAutomated Call Distribution Phone SoftwareBug Reproduction DocumentationCisco CcnaComptia A+
2 Hours Ago
Hybrid
17-28 Hourly
Junior
17-28 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Supervises retail store operations and sales-floor activity, drives sales and KPI performance, develops client relationships, coaches and trains staff, and supports recruiting. Oversees opening and closing procedures, cash handling, POS transactions, inventory accuracy, stockroom organization, replenishment, and omni-channel selling initiatives. Acts as a brand ambassador while maintaining service standards, compliance, and an inclusive team culture.
Top Skills: Clienteling SystemsExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordOmni-Channel Selling ToolsPos SystemsSocial Media PlatformsVirtual Selling Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account