Data Scientist supporting Boeing Global Services for demand planning and obsolescence. Performing statistical analysis and developing dashboards using tools like R and SQL.
About the role
- Data Scientist II supporting AI strategy at Alberta Blue Cross with responsibilities in data analysis and machine learning capabilities. Collaborate with stakeholders to drive advanced analytics adoption within the business.
Responsibilities
- Supporting the development and implementation of the organization’s Artificial Intelligence strategy
- Participating in problem solving initiatives with cross-functional teams
- Participating in data wrangling, quality assurance, cleaning, aggregation and integration
- Applying data science expertise to generate new insights and solve business problems
- Demonstrating creative problem solving and translating data patterns into business insights
- Providing actionable insights through effective presentation of complex data findings
Requirements
- Bachelor’s, Master’s or Doctoral degree in computing science, statistics, mathematics, engineering, or a related field in which advanced statistical methods are used
- 5+ years of quantitative analysis experience, including handling, manipulating, and analyzing data and creating analytical reports
- Ability to translate business questions to data questions and present results in ways that make complicated relationships clear
- Comfortable using one or more statistical programming languages (i.e., Python/R) and data engineering languages (e.g., SQL, PySpark)
- Familiarity with Azure, Databricks, Power BI and star schema data modeling is preferred
- Strong written and verbal communication skills
- Ability to work effectively as an autonomous data scientist and collaborate with an interdisciplinary group
Benefits
- exceptional customer experience
- community leadership
- diverse work environment
- opportunities for career growth
- commitment to work-life balance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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