Work with stakeholders throughout the
organization to identify opportunities for leveraging company data to
drive business solutions
Mine and analyze data from company
databases to drive optimization and improvement of product development,
marketing techniques, 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, ad targeting, and
other business outcomes
Develop company A/B testing framework
and test model quality
Coordinate with different functional
teams to implement models and monitor outcomes
Develop processes and tools to monitor
and analyze model performance and data accuracy
YOUR SKILLS
Bachelor's degree in Statistics, Math,
Computer Science, or any relevant study
Minimum of 2 years of relevant data
science work experience
Fluent English speaker
Proficient user of Microsoft Office
applications (Word, Excel, and PowerPoint)
Strong problem-solving skills with an
emphasis on product development
Experience using statistical computer
languages (Python and SQL knowledge is a must) to manipulate data and
draw insights from large data sets
Experience analyzing data from 3rd
party providers (e.g., Google Analytics, Site Catalyst, Coremetrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.) is preferable
Microsoft Azure (DevOps, machine
learning, etc.) & Docker experience is preferable
Knowledge of a variety of machine
learning techniques (clustering, decision tree learning, artificial
neural networks, etc.) and their real-world advantages/drawback
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