Job Description

The Group You\'ll Be A Part OfThe Impact You\'ll MakeDirects the activities of a data science team responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse \xe2\x80\x9cbig data\xe2\x80\x9d sources to generate actionable insights and solutions for businesses across the company. Oversees the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources. Identifies and communicates to stakeholders, meaningful, actionable insights from large data and metadata sources. Selects, develops, and evaluates personnel ensuring the efficient operation of the function.What You\'ll DoWho We\'re Looking For

• Bachelor degree or equivalent is required with 2- 4 years of supervisory experience.

Preferred QualificationsOur CommitmentWe 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.

Lam Research