Requisition ID190063 Date posted07 21 2025 Work Location ModelOn-site Flex Work LocationBangalore-IN-Bangalore Work CountryIndiaThe group you ll be a part of 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 The impact you ll make 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 What you ll do Who we re looking for Typically requires a minimum of 12 years of related experience with a Bachelor s degree or 8 years and a Master s degree or a PhD with 5 years experience or equivalent experience Preferred qualifications Our commitment 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 advantages 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

📌 Data Scientist, Staff (Karnataka)
🏢 Lam Research
📍 Karnataka