4 years of formal education or equivalent experience in Data Science, Computer Science, Statistics, or Applied Science
Experience with Spark, Python, and SQL. Demonstrable familiarity with code and programming concepts.
4+ years of experience in statistical modelling, machine learning, data mining, NLP, and/or information retrieval.
2+ years of experience working on data-heavy products preferably in a Data Science role.
Proven ability in implementing big data machine learning applications at scale and in production environments.
Able to articulate and lead discussions on architecture and algorithms with the engineering team as well as with non-technical stakeholders across the business
Self-driven and laser-focused, able to quickly prototype ideas, perform critical analysis, and use creative approaches to solve complex problems
Bonus points:
Familiarity with Databricks.
Familiarity with ModeAnalytics or Looker or Tableau
Data-driven Story Teller - Ability to convey insights that are readily consumable
Ability to work with CS, Customers & Sales to understand and translate business problems into Data Science concepts.
Understanding of Agile SDLC & modern data pipeline practices