Data Scientist 3

The group you’ll be a part of

LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a “Center of Excellence” (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems & Use Cases in the semiconductor, manufacturing, and supply chain domains for the company. This role will be in Automation group to support Global Operations Process Automation & deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of LAM's business

Eligibility Criteria

• Years of Experience:      Minimum 6-8 years 
• Job Experience:               Expertise in developing Data Science enterprise-wide scalable solutions
• Educational:                    Bachelor’s/Master's or Ph.D. in Computer Science, Data Science, or a related field

Responsibilities

• Develop and deploy end-to-end ML/DL/GenAI solutions aligned with business objectives.
• Work hands-on with data to build robust models and derive insights from complex datasets.
• Implement and maintain production-grade ML systems
• Collaborate with cross-functional teams to understand requirements and translate them into data science solutions.
• Deliver quick POCs and iterate based on feedback and performance metrics.
• Stay current with emerging trends and apply them to solve real-world problems.
• Build and deploy AI-powered applications and APIs on Azure VM stack.
• Monitor model performance and ensure reliability, fairness, and scalability in production

Mandatory Skills

• Proven experience in developing and deploying ML/DL/GenAI models in production environments.
• Strong proficiency in Python and familiarity with libraries such as scikit-learn,, PyTorch etc.
• Experience in building and deploying APIs and applications using ML models.
• Strong problem-solving skills and ability to work with complex, multi-source data.
• Ability to deliver quick POCs and iterate rapidly.
• Good communication skills and ability to work collaboratively with stakeholders

Attributes

• Strategic thinker with a product mindset and focus on business impact.
• Strong ownership and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to thrive in a dynamic and fast-paced environment.

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 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.