Staff Data Scientist

Job description


The Data Analytics team is searching for a talented Staff Data Scientist - Business Analytics to drive initiatives across the Canadian Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices.

As a Staff Data Scientist- Business Analytics, you will collaborate with cross functional teams to develop insights, lead A/B testing, create ML models, and drive key business results. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will be an instrumental leader in shaping the strategy and future of the Canadian Data Science Program. Working across Intuit AI, Data Engineering, Product, Marketing and Sales you will develop an integrated plan to grow and scale Data Science for the SBG business.

What you'll bring

  • 5+ years of experience in Marketing/Product Analytics or Data Science
  • Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
  • Advanced SQL skills, Hive, or SparkSQL, etc.
  • Expertise in experimental design and Multivariate/A-B testing
  • Willingness and ability to adapt to rapid business and organizational changes that accompany a high-growth environment
  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
  • Undergraduate Degree in Quantitative Field, or equivalent experience

How you will lead

  • Perform hands-on data analysis and modeling with large data sets
  • Lead experimental designs and measurement plans
  • Apply data mining, NLP, and machine learning to improve relevance and personalization algorithms
  • Create data engineering requirements and manage processes with data engineering teams to build relevant datasets and metadata
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions and communicate results to peers and leaders

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