Role Overview
The Data Scientist III will play a key part in advancing business priorities by delivering high-impact work across their area of expertise. The role will apply advanced analytics, statistical modeling, machine learning, and optimization techniques to solve complex business and supply chain problems and improve data-driven decision-making.
What You Will Do
The successful candidate will work closely with business and technical stakeholders to translate ambiguous business challenges into analytical frameworks, develop models and decision-support tools, and communicate findings in a way that drives action.
Why It Might Be a Fit
This role is well suited for someone who combines strong statistical and technical capabilities with business curiosity and practical problem-solving skills.
Requirements
- Degree in Data Science, Statistics, Mathematics, Economics, Supply Chain Management, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Minimum of five (5) years of relevant experience with a Bachelor’s degree, three (3) years of relevant experience with a Master’s degree, or no (0) years of relevant experience with a Doctorate.
- Strong proficiency in Python, R, or another programming language commonly used for statistical analysis and data science.
- Strong proficiency in SQL for querying, transforming, and analyzing large datasets.
- Demonstrated experience applying statistical modeling, machine learning, optimization, simulation, or other advanced analytical methodologies to real-world problems.
- Strong foundation in statistical reasoning, including the ability to appropriately select, evaluate, and interpret quantitative methods.
- Demonstrated ability to structure ambiguous business problems and translate them into rigorous analytical approaches.
- Strong written and verbal communication skills, with the ability to explain complex analytical concepts and recommendations to non-technical audiences.
Benefits
- 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
- Family care and bonding leave
To apply for this job please visit kla.wd1.myworkdayjobs.com.
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