Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Experienced Data Scientist developing and implementing analytics solutions for Boeing's quality management systems. Collaborating with Quality personnel to support quality directives.
Responsibilities
- Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation;
- identifies modeling attributes and parameters;
- applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables
- Investigates data characteristics, complexity, quality and meaning;
- develops visualizations and summarizations to define performance and identify trends, outliers and drivers
- Prepares data for analysis, e.g. cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data
- Identifies best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications
- Performs standard procedures in evaluation and verification of correctness and performance of models and analysis
- Supports determination of analysis requirements given business objectives
- Supports determination of decision support needs, matches data to requirements and performance metrics to support analysis
- Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tools
- Analyzes process data, metrics, models and flows to identify root cause of problems
- Participates with stakeholders to develop potential preventive or corrective actions and implementation
- Conducts research, compiles and analyzes performance reports and process control statistics, to continuously improve process capability
Requirements
- Bachelor of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science, engineering
- 2+ years of experience in data science or analytics
- 2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
- 2+ years of experience in performing statistical analysis
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid time off
- unpaid time away from work
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