The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
They must have a proven ability to drive business results with their data-based insights.
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.
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, scipy-numpy-pandas suite in Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience with common distributed data/computing tools: Hadoop, Hive, Spark, MySQL, etc.
Experience working with and creating data architectures, and taking PoCs to production.
Knowledge of a variety of machine learning techniques (clustering, anomaly detection, ranking and recommendation, etc.) , their real-world advantages/drawbacks and the ability to find the right algorithm for a use case.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Looking for someone with 3-7 years of experience manipulating data sets and building ML models.
Has a Bachelor's, Master's in Computer Science or another quantitative field
Experience using web services : Redshift, S3, Spark, DigitalOcean, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.