KLA Manufacturing Data Scientist 

United States, Michigan, Ann Arbor 

798778349

Manufacturing and Tools Data Scientist is responsible for collecting, analyzing, and interpreting data from KLA products during various stages of a manufacturing process to identify trends, inefficiencies, and opportunities for improvement, utilizing data visualization tools to present findings and collaborate with cross-functional teams to implement data-driven solutions for optimized production and quality control.

• This is an enabling Role to support the analysis based on the data generated during the manufacturing process of KLA tools

• This is a single contributor member of a multi-disciplinary team with common goals

• Design and enable the creation of an analytics platform for Manufacturing

• Create clear and concise data visualizations (charts, graphs, dashboards using Power BI) to communicate insights to stakeholders and decision-makers.

• Develop Analytics using statistical methods, heuristics and ML Models.

• Develop project plans and timelines for Analytics Products

• Act as liaison between the business (Manufacturing) and the IT organization (Snowflake, Power BI and Software Developers)

• Prepare the Business Requirement Document for all Analytics project derived from the tools during the manufacturing process.

Preferred Qualifications:

• Proficiency in Snowflake

• Bachelor's degree or equivalent experience in statistics, mathematics, computer science, industrial engineering, or a related field

Minimum Qualifications

• Minimum of 5 years of related experience with a bachelor's degree; or 3 years with a master’s degree

• 2- 4 years of Validated experience in data analysis and reporting using data analytics tools, and working on Cloud based Data Warehouse

• Expertise in data visualization tools (e.g., Tableau, Power BI)

• Ability to work in a multicultural team, and with groups located in other regions like: Israel, Singapore, Wales and Germany

• Ability to communicate complex subjects in simple terms is fundamental

• Proficiency in SQL for data extraction and manipulation.

• Programming languages like Python is a must

• Experience in a manufacturing environment with a strong understanding of production processes

• Excellent project Management Skills, with experience on leading and implementing Analytics Products

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