Data Scientist - Global Supply Chain Services

KLA Corporation-posted about 1 month ago

Full-time • Mid Level

Milpitas, CA

5,001-10,000 employees

Computer and Electronic Product Manufacturing

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We are seeking a highly motivated and experienced Data Scientist to join our multifaceted Business Operations and Digital Solutions team, supporting KLA Supply Chain Services. This senior level role will be instrumental in driving digital transformation through advanced analytics, statistical modeling, and AI innovation. The ideal candidate will lead the development of scalable data science solutions that optimize logistics and other supply chain operations and enable data-driven decision making.

Lead the design and deployment of statistical analysis, machine learning models, and optimization algorithms to address logistics challenges.
Architect and sale AI-driven solutions across our logistics network, ensuring alignment with business goals and operational efficiency.
Collaborate cross functionally with logistics support groups, business analysts, and data experts to identify opportunities and deliver impactful digital solutions.
Develop and apply statistical methods and mathematical modeling to uncover insights and support strategic initiatives.
Guide the team in best practices for data science development, including feature engineering, model validation, and performance monitoring.
Champion the use of modern data science tools and platforms.
Contribute to the development of network/graph analytics initiatives by applying graph theory and network modeling to uncover relationship and patterns in logistics data.
Demonstrate strong leadership, communication, and collaboration skills, with the ability to influence cross-functional teams.
Foster a culture of innovation and continuous learning by promoting knowledge sharing and mentoring others.
Stay current with industry trends in AI, machine learning, and logistics analytics while evaluating emerging technology for adoption.

Strong proficiency in Python and SQL
Experience with data engineering and transformation to structure complex data sets for modeling and analysis
Solid understanding of statistical inference, time series analysis, and optimization techniques
Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years

Experience working with logistics operations and supply chain
Experience with network/graph analytics
Familiarity with SAP, Snowflake, and Power BI

KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed.

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