Product Insights Data Scientist

Our Data Scientists create new sources of data-driven innovation and value for our customers and prospects while proving the analytical capabilities of Xanadu’s technology stack. They help customers respond to their top-priority business goals by introducing new ways to leverage their exploding data assets, using statistical methods, machine learning, and predictive models.  They also work with industry-leading engineers to create new tools and features that support sophisticated analytics within all data repositories.

We are currently  building out our Product Insights team and are looking for best and brightest to help us drive product feature decisions using data. If you bring an enthusiasm for Data Science and insights generation and are interested in helping us build better product we would love to talk to you!


Hypothesis testing

  • execute the full hypothesis test lifecycle, from data collection to conclusion and message delivery
  • hypothesis testing backlog alignment with product owners and business unit requirements
  • champion AB testing benefits and its role in the decision life-cycle

Project prioritisation

  • estimate business-proposed product feature impacts on key performance indicators
  • perform model-validation and testing of the in-house discrete markov-chain driven customer lifecycle model
  • manage roll-out, promotion and long-term maintenance of the customer lifecycle model
  • promote data-driven decisions in the product prioritisation process

Project execution

  • work with engineers to identify data-sources required to measure feature release impact on key performance indicators
  • work with the Data Platform team to ensure full data pipeline delivery and availability
  • work with the business analytics team to ensure key performance indicator delivery for each release
  • measure product feature success and feed into lifecycle model reliability

Product analysis

  • drive the collection of client-side clickstream event data and full data-pipeline integration
  • lead the build out of dashboards and leverage intelligence tools to help identify new product requirements and monitor progress of existing product feature



  • Undergraduate degree in an analytical or technical field (e.g. statistics, applied mathematics, physics, engineering)
  • Experience working with relational databases and SQL
  • Experience with open source statistical languages and packages, preferably R/Python.
  • Excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways
  • A team player capable of conducting independent research
  • Good general knowledge of statistical methods, data-mining/machine learning and mathematical modelling approaches
  • Familiarity with visualization software and techniques (e.g. Qlikview/Tableau)
  • Familiarity with at least one web-tracking tool such as Google Analytics, Fabric, Woopra etc

Xanadu is an equal opportunities employer