Research and develop new ways that use mass data to build long-lasting relationships
Evaluate and test tradeoffs between machine learning models
Collaborate daily with the data engineering team, product teams, and other functional areas
Lead productionization of machine learning models that influence subscription experiences, churn prediction, and customer lifetime value modeling

Requirements

5+ years of experience in a data science role
Strong knowledge of Machine Learning/Statistical Modeling & Analysis
Professional-level Python knowledge
Strong quantitative background, MA/MS in statistics, mathematics, computer science, economics, or another quantitative field is required
Passionate about leveraging the best of breed technology and eager to learn new skills
Great communicator, self-driven, and prepared to work in a fast-paced startup environment

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningStatistical ModelingPythonData AnalysisChurn PredictionCustomer Lifetime Value Modeling

Soft Skills

CommunicationSelf-drivenCollaborationAdaptabilityPassion for learning

Certifications

MA in StatisticsMS in MathematicsMS in Computer ScienceMS in Economics