Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
About the role
- Detail-obsessed Applied Data Scientist ensuring clean and reliable data. Collaborate with cross-functional teams to deliver data-driven solutions while managing the data quality process.
Responsibilities
- Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models
- Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling
- Investigate data discrepancies and design automated frameworks to ensure data accuracy
- Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy
- Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions
Requirements
- Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)
- Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation
- Hands-on experience with data cleaning techniques and data validation frameworks
- Familiarity with data visualization tools to help identify and communicate data issues
Benefits
- Health, dental, and vision coverage
- Paid time off
- Paid parental leave
- 401(K) plan with employer matching
- Wellness benefits
- Equity opportunities
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