HR Analytics Data Scientist

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop smartphone wearable device voice-controlled gadget flexible screen VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists engineers data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The vision of KLAs global human resources organization is to become a leader and partner to operating leadership in support of the companys efforts to achieve its strategic growth customer and operating objectives through strategic talent management. Our mission is to enable the business and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition individual and organizational assessment and development performance management inclusion and engagement and rewards. The global HR organization includes HR business partners learning and development talent acquisition compensation and benefits employee communications and HR system operations.

Job Description/Preferred Qualifications

The HR Data Scientist will play a key role in advancing KLAs HR Analytics capability by building scalable AI and predictive insights on top of established workforce data reporting and core metrics. The Data Scientist will partner closely with the Analytics team HR Business Partners Centers of Excellence and HR leadership to translate workforce and talent questions into highimpact analytical and predictive solutions. The position focuses on applying AI techniques and predictive analytics to better anticipate workforce risks and opportunities building and maintaining robust models and uncovering drivers of key workforce outcomes to deliver clear actionable insights to support more proactive datadriven decisionmaking.

Key Responsibilities

• Partner with HRBPs COEs and HR leadership to frame business questions define hypotheses and translate needs into analytics solutions across descriptive predictive and prescriptive use cases.

• Analyze workforce data using statistical and analytical methods to identify key patterns drivers and relationships (e.g. engagement attrition mobility hiring outcomes).

• Design build validate and maintain predictive models (e.g. attrition risk internal mobility workforce demand workforce planning TA funnel outcomes) including feature engineering evaluation and ongoing monitoring.

• Design and build AI analytic tools to help with the acceleration of data insights

• Own endtoend analytics delivery for more advanced analytics use cases from data exploration and modelling through insight generation storytelling and clear recommendations for decisionmakers.

• Develop reusable analytical assets (model templates code libraries documented methodologies metric definitions) to enable scalable and repeatable analytics across HR.

• Ensure data integrity and reliability by auditing datasets diagnosing issues and implementing data quality checks and controls.

• Collaborate closely with HR Data Engineering and IT to improve datasets pipelines and the overall analytics foundation (Workday/Prism and other Analytics platforms and external sources).

• Establish and follow data privacy ethics and governance practices for employee data including appropriate use fairness and bias considerations transparency and access control.

• Contribute to the HR analytics roadmap by identifying highvalue predictive use cases and opportunities to automate insight delivery

Preferred Qualifications:

• Bachelors degree in a quantitative or analytical field (e.g. Statistics Math Economics Engineering Data Science) or equivalent practical experience.

• 2 yearsof experience in data science or advanced analytics roles with direct experience working on HR / people / workforce analytics (e.g. attrition engagement mobility hiring workforce planning).

• Handson experience applying machine learning and statistical techniques to peoplerelated business problems including supervised learning feature engineering and model evaluation.

• Demonstrated ability to translate HR business questions into analytical and predictive solutions working closely with HR stakeholders.

• Experience working with complex imperfect HR data and exercising sound analytical judgment around assumptions limitations bias and uncertainty.

• Proficiency in Python or R with the ability to communicate insights and recommendations clearly to nontechnical HR and business audiences.

• Working knowledge of data privacy ethics and responsible use of employee data.

• Experience applying treebased machine learning models such as Random Forest and XGBoost to peoplerelated analytics use cases (e.g. attrition risk mobility hiring outcomes).

• Experience or familiarity with unsupervised learning techniques (e.g. clustering segmentation anomaly detection) to explore workforce patterns and inform hypothesis generation.

• Familiarity with model explainability and governance in an HR context (e.g. feature importance bias/fairness considerations documentation and model monitoring).

• Experience working with Workday data or HR systems (e.g. Workday reporting or Prism Analytics) is a plus.

• Working knowledge of SQL for data exploration and validation is a plus.

• Experience collaborating with data engineering to productionize models and analytics is a plus.

• Copilot and other AI experience

Minimum Qualifications

• Bachelors Degree plus 5 years experience or Masters Degree plus 3 years experience or PhD plus 0 years experience

Base Pay Range: $87400.00 - $148600.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

KLAs 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. Our pay ranges are determined by role level and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors including state minimum pay wage rates location job-related skills experience and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.