Senior Data Scientist (Supply Chain Focus)
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Description
In This Role Your Responsibilities Will Be:
- Build strong partnerships with supply chain procurement manufacturing and IT/data platform stakeholders to drive high-quality master data outcomes
- Analyze how supply chain master data is created and consumed across upstream and downstream processes identifying where defects originate
- Perform data profiling and rootcause analysis across key domains such as items suppliers BOM/routings lead times and locations
- Apply statistical methodsincluding SPC anomaly detection and hypothesis testingto define and maintain standards for S&OP Master Data and proactively detect data shifts
- Use operations research techniques to test planning inputs and reveal weaknesses in system configurations assumptions and parameter settings
- Develop and maintain scalable monitoring data quality checks and analytics solutions that connect directly to governance and remediation workflows
- Communicate insights impact and recommended actions clearly to both technical and nontechnical audiences
- Translate complex analytical findings into practical implementable improvements in planning and execution processes
Who You Are:
You solve complex problems by stepping back to understand patterns root causes and long-term implications. You focus on what is most important simplifying complexity without losing essential detail. You build trusting relationships through collaboration clear communication and openness to diverse perspectives. You adapt quickly in changing environments stay curious and continuously seek opportunities to improve systems processes and decision-making.
For This Role You Will Need:
- Bachelors degree from an accredited institution
- Strong proficiency in SQL and experience with Python or R for analysis and creating repeatable data quality logic
- Demonstrated experience applying statistical methods to real-world imperfect enterprise data
- Hands-on expertise in operations research techniques such as optimization or simulation
- Ability to work independently in ambiguous situations and drive endtoend analytics workflows
- Strong analytical judgment and a practical solution-oriented mindset
Preferred Qualifications That Set You Apart:
- Masters degree in Operations Research Industrial Engineering Business Analytics Data Science or another quantitative field
- 5 years of relevant experience as an individual contributor in analytics or data science
- Experience with supply chain data and ERP-style master data (items BOM routings suppliers locations lead times)
- Familiarity with data governance concepts or large-scale master data remediation efforts
- Experience supporting supply chain planning S&OP inventory sourcing or network optimization initiatives
Our Culture & Commitment to You:
At Emerson we are committed to creating an inclusive welcoming environment where every employee can bring their full self to work. We value diverse backgrounds perspectives and experiences because they make our teams stronger and our solutions better. We support your professional growth through continuous learning meaningful work and opportunities to make a real impact. By joining Emerson you become part of a global community driven by innovation integrity and a shared purpose to make the world healthier safer smarter and more sustainable.
Required Experience:
Senior IC
Key Skills
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About Company
Emerson has refocused its business portfolio to deliver solutions that bring greater value to our customers. About Emerson We concentrate on the most complex, profound challenges facing the world in the process, industrial, commercial and residential markets. Our global talent, best-i ... View more
