The impact you'll makeJoin Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You will develop algorithms and automated processes to evaluate large data sets from disparate sources, enabling informed, data-driven decisions across the organization.
In this role, you will leverage your computer science expertise and experience working with large-scale data to solve real-world scientific and engineering challenges in cutting-edge semiconductor manufacturing and research. Your work will directly impact how complex problems are understood, diagnosed, and solved in highly advanced processing environments.
This role requires a strong curiosity for how physical systems behave and a motivation to apply data science methods to uncover underlying mechanisms. You will work at the intersection of data, science, and engineering, helping translate complex data into meaningful insights that drive both immediate problem-solving and long-term innovation.
What you'll doThis position is for a Data Scientist within the Selective Etch Product Group, part of the Global Product Group, based in Fremont, CA. The team supports existing products in the field and plays a critical role in the development and market introduction of new selective etch technologies.
In this role, the Data Scientist will analyze large and complex data sets and develop advanced analytics algorithms to support Lam's Selective Etch equipment. The work directly enables faster problem resolution, improved product reliability, and data-driven decision-making across engineering teams.
Key responsibilities include:
- Customer Escalations & Root Cause Analysis
When addressing a customer escalation, the Data Scientist will partner closely with subject matter experts to understand the problem, identify available data, perform quantitative analysis, interpret results, and clearly communicate insights to the broader engineering team. - Analytics Tools & Applications
Develop analytics applications with intuitive, user-friendly interfaces that enable engineers-without programming expertise-to diagnose and troubleshoot similar issues efficiently in the future. - Predictive Analytics & Failure Prevention
Design and implement algorithms that identify trends and signals in tool and process data to help predict potential failures before they occur, improving uptime and customer confidence.
Who we're looking for- Bachelor's degree + 2years experience or Master's degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
- Strong foundation in data analysis, statistical modeling, and machine learning, with the ability to apply these methods to real-world engineering problems.
- Hands-on experience programming in Python (required), including common data science libraries (e.g., NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar).
- Experience working with large, noisy, and heterogeneous datasets, including data cleaning, feature extraction, and validation.
- Ability to translate ambiguous problem statements into well-defined analytical approaches and actionable insights.
- Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise.
Preferred qualifications- Experience applying data science techniques in complex industrial environments.
- Familiarity with equipment health monitoring, fault detection and classification (FDC), predictive maintenance, or time-series analysis.
- Experience developing analytics tools or applications with user-friendly interfaces (e.g., dashboards, internal web apps, or visualization tools) for non-programmers.
- Knowledge of SQL, data pipelines, or working with structured and unstructured production data sources.
- Experience with cloud-based or distributed computing environments is a plus.
- Understanding of experimental design, root-cause analysis, or process characterization in a hardware-driven environment.
- Ability to balance quick-turn analysis for escalations with longer-term, robust algorithm development
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
#LI-JK1
SalaryCA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and BenefitsAt Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
