Data Scientist 3

The group you’ll be a part of

Overview

Responsibilities

• Design and implement end-to-end AI/ML architectures that align with business goals and scalability requirements.
• Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.
• Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.
• Experience in delivery ML solution in Cloud environment ( Azure) .
• Hands On with the ML Model development and derive the right solutions for complex problem
• Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities.
• Work closely with data scientists, engineers, and business stakeholders to understand requirements and translate them into architectural solutions.
• Foster a collaborative environment that encourages cross-functional innovation.
• Establish monitoring mechanisms to track model performance and address issues proactively.
• Responsible for delivering quick POCs and bringing data insights by using different complex data, and multiple data sources.
• Responsible to Provide technical leadership for developing end-to-end solutions and offering hands-on guidance.

Mandatory Skills

• Proven experience as a Data Science Architect, with a track record of successfully implementing complex AI/ML/DL enterprise-wide solutions.
• Strong proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks.
• Expertise in machine learning, statistical modelling.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).

• Well versed with MLOPS and MLFAILSAFE concepts.
• Hands-on working experience in project management and agile methodologies. Tools like MS Project, etc.
• Good skills in managing Stakeholders’ (internal and external) Expectations.
• Strategic thinker with the ability to align technical solutions with business objectives.
• Excellent communication and leadership skills.
• Strong problem-solving and decision-making abilities.
• Ability to thrive in a dynamic and collaborative work environment.

Preferred qualifications

• Years of Experience: Minimum 8 to 12 years
• Job Experience: Expertise in developing Data Science enterprise-wide sustainable solution, BI Applications, and Analytics. Design & Architecture.
• Educational: Master's or Ph.D. in Computer Science, Data Science, or a related field.

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.