Bachelor degree in STEM field, especially software engineering, computer science, machine learning, or statistics related
Experience using statistical computer languages such as R, Python, SQL, etc
Experience with data warehouses such as Redshift, BigQuery, or Snowflake
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Desirables
Graduate degree in STEM field
Experience with BI tools such as Looker, Tableau, or Power BI
Experience in small startup environments
Experience with a distributed team / remote work
Passion for sports especially soccer / football
What the job involves
Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes