Translate complex business problems into coherent, actionable quantitative solutions.
Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.
Deliver clear, impactful insights to stakeholders through effective communication.
Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.
Promote best practices across the data science and product analytics team.
Leverage 1st / 2nd / 3rd party data to build global models that predict user behavior throughout their subscription journey (e.g., sign-up, churn).
Build models to identify and measure high-value user actions and drivers of habit formation.
Develop session-level predictions to uncover user intent at the start of a session.
Build models to predict content viewership and identify content traits that resonate most with each subscriber.
Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences.
Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement.

Requirements

2+ years experience in Data Science and ML Engineering.
MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.
Experience with both supervised and unsupervised learning methodologies.
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
Familiarity with well-known statistical and ML models and methods.
Ability to innovate without over-engineering.
Communicate concisely and persuasively with a wide variety of stakeholders.
Strong detail orientation with a penchant for data accuracy.
Must successfully pass a background check.
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
Experience with integrating AI solutions into existing business processes.
Experience using project management tools like those from Atlassian (JIRA, Confluence)

Benefits

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningdata sciencesupervised learningunsupervised learningstatistical modelsdata analysisdata visualizationdata aggregationdata monitoringpredictive modeling

Soft Skills

effective communicationcollaborationdetail orientationpersuasivenessinnovationproblem-solvingstakeholder engagementcohort-based targetingdata accuracyactionable insights

Certifications

MS in StatisticsMS in Data ScienceMS in Computer SciencePh.D in StatisticsPh.D in Data SciencePh.D in Computer Science