Hybrid Data Scientist I – Information Technology

at Alberta Blue Cross

• Job title: Data Scientist I – Information Technology
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, PySpark, Python, SQL
• Location requirements: Hybrid, Alberta, Canada

About the role

• Data Scientist developing and implementing the data analytics strategy at Alberta Blue Cross. Collaborating with teams to enhance data-driven decision-making in a hybrid work environment.

Responsibilities

• Participate in problem solving initiatives, collaborating within a cross functional team of specialists, to design innovative solutions for clients and business leaders
• Participate in the wrangling of data, especially regarding the more practical aspects like quality assurance, cleaning, aggregation and integration
• Apply data science expertise including descriptive, predictive, machine learning, deep learning, and AI techniques to generate new insights and solve business problems
• Demonstrate creative problem solving and ability to translate data patterns into business insights, cause/effect relationships and variables to amplify predictive power of underlying models
• Provide business recommendations by distilling complex data science findings into clear, actionable insights, and effectively presenting them through visual displays to stakeholders at all levels, assisting with data-driven decision-making

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
• 2+ 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) for data analysis and data engineering languages such as SQL and PySpark to work with large data sets and relational databases
• 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 on a small project, and to collaborate with an interdisciplinary group on larger projects
• Disciplined curiosity, consistent with the best traditions of science
• Deep knowledge and experience of the algorithms and techniques of traditional statistics and modern data science especially as they pertain to business and experimentation
• Experience in utilizing Generative AI to solve business problems with unstructured data, with the focus on enhancing efficiency, fostering innovation, and driving organizational impact.

Benefits

• Written and verbal communication skills
• Opportunities for career growth
• Flexible work arrangements
• Diverse and inclusive workplace