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Data Scientist 2Lam Research • United States
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Data Scientist 2

Lam Research
  • US
    United States
  • US
    United States
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Über

Data Scientist
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions. This position is for a Data Scientist within the Selective Etch Product Group based on Fremont, CA. Responsible for performing professional process engineering research, development, and evaluation in support of the company's complex semiconductor capital equipment and systems. Primary focus from concept and feasibility through onsite equipment evaluation with a balanced approach between advanced data science and 'hands-on' experimentation. Develop predictive models derived from early experimentation to infer physical mechanisms within a collaborative multi-disciplinary team. Develops advanced test vehicles and applies systematic root cause analysis. Compiles and evaluates test data to determine appropriate limits and variables for process specifications. Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise. We're looking for someone with experience applying advanced data science for process engineering and applications development. Desire for lab experimentation to refine data analysis and modeling is also important. Master's degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a minimum of 0-2 years work experience; Bachelor's degree with a rigorous curriculum and 3+ years work experience may be considered. Preferred qualifications include expertise applying AI and machine learning methodologies, knowledge of statistical analysis and modeling including Statistical Process Control (SPC) and/or Design of Experiments (DOE), chemistry knowledge and laboratory experience, surface science knowledge, strong organizational skills, excellent people skills, and a collaboration/matrix environment mindset. We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. 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. CA 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. At 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.
  • United States

Sprachkenntnisse

  • English
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