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SAP Senior Principal Data Scientist 
Canada, British Columbia, Vancouver 
382248246

Yesterday

What you'll do

  • Answer business questions by applying statistical techniques and/or innovative/quantitative analytical approaches to large data sets.

  • Influence strategic business decisions and operational decisions by conducting customer segmentation & profiling, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.

  • Deliver conclusions in support of 'insight-to-Influence' strategic business decisions and operational decisions,

  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges

  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.

  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.

  • Partner with cross-functional teams to inform, influence, and execute strategy decisions

  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.

  • Communicate insights effectively to drive business outcomes

What you bring

  • Minimum of 8+ Years of experience in Data Science or related fields

  • Proficiency in Python, R, Pyspark, SQL data manipulation programming languages

  • Expertise in applying a broad variety of statistical concepts (e.g. classification, regression, A/B tests, clustering, deep learning, probability) to business problems

  • Experience with Databricks or equivalent “big data” platform

  • Experience with deploying machine learning models into production systems

  • Proven ability to advise, present to and serve as a thought partner to senior executives

  • Preferred: M.S., or PhD. in Statistics, AI, Predictive Analytics, Computer Science, Math, Machine Learning, Operations Research, Economics, or another quantitative field

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