Senior Data Scientist Job at G2i Inc, Remote

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  • G2i Inc
  • Remote

Job Description

This is a hybrid position requiring presence in Vancouver, BC.

What You'll be doing: 

  • Create data-driven insights in order to enrich the end user experience 

  • Communicate with multiple teams by creating reports in order to share insights and overall data story 

  • Work alongside senior level stakeholders to scope analytics projects to ensure data science deliveries are driving business impact 

  • Evaluate consumer fintech data by using various methods and tools including but not limited to; Machine Learning, Statistics, Data Analysis, Quantitative Finance, and Modern Programming 

  • Facilitate data driven initiatives in the following areas to paint a cohesive data picture:

What You Should Already Have: 

  • A Bachelor’s degree in a quantitative field, such as Finance, Computer Science, Economics, Mathematics or a similar technical discipline 

  • 5+ years experience in applying analytics, data engineering or data science 

  • Proficiency in working with SQL, Python and/or R across complex real world datasets 

  • Proficiency in using modern data visualization tools, such as Tableau, PowerBI or similar 

  • Experience deploying ML models using machine learning as a service platforms such as Amazon SageMaker, Google Cloud AI, and Microsoft Azure 

  • Excellent written and verbal communication skills 

  • Aptitude for critical thinking as it relates to complex problems and challenge assumptions in order to implement creative solutions 

What Would Be Nice To Have: 

  • A Master's degree or higher, focused in data science, analytics finance, or software engineering 

  • Experience applying data science consumer finance, fintech and other Financial Industry domains 

  • Familiarity with related disciplines such as consumer finance, project

  • management, user experience design, software development and digital

  • marketing

  • Experience in establishing data technology foundations for agile business

  • intelligence, data lakes and data workbenches, and applied machine learning/AI

  • Experience with large-scale data analysis technologies (e.g. Relational and

  • NoSQL data stores, Spark framework, and cloud development in the AWS

  • Ecosystem)

  • Specializations and applied experience in the following areas:

Job Tags

Remote job,

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