Senior Analytics Manager

4 weeks ago


Los Angeles, California, United States Avispa Technology Full time

Job Title: Associate Director - Commercial Analytics

About the Role:

We are seeking a highly skilled Associate Director - Commercial Analytics to join our team at Avispa Technology. As a key member of our commercial analytics team, you will play a critical role in supporting in-market control tests and building machine learning models to increase subscriptions, revenue, and improve app engagement and customer experience.

Key Responsibilities:

  • Support testing marketing initiatives to maximize media spend performance, drive app engagement, and increase subscriber retention across the customer lifecycle applying proper statistical rigor.
  • Deliver presentations describing experimental results and recommendations to business partners. Prepare dashboards providing daily monitoring of test results.
  • Build machine learning models for predicting key outcomes used to inform marketing tactics across digital acquisition and user journey orchestration.
  • Work closely with engineering to productionize and monitor model performance.
  • Represent Commercial Analytics capabilities and data-driven insights within cross-functional teams to help achieve business objectives.
  • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysis.
  • Create custom Python libraries available for team use to automate key methods. Examples include statistical methods for timing/sizing experimental design, verifying test populations are unbiased and matched-market test design.

Requirements:

  • 5+ years of experience as a Data Scientist.
  • Master's degree in Data Science, Statistics, Engineering, Mathematics, or Computer Science.
  • Project management experience preferred.
  • Experience working within an advertising agency or creative environment preferred.
  • Experience with cloud technologies.
  • Understanding or experience working within an enterprise data warehouse environment (including SQL, procedural SQL, and ETL).
  • Capability to build, tune, and explain machine learning models for supervised and unsupervised learning. Methods include, but are not limited to, regression, clustering, and ensemble methods.
  • Understanding of statistical concepts, lift analysis, and A/B testing fundamentals.
  • Excellent programming skills in Python.
  • Ability to produce data visualizations for explaining technical concepts.
  • Familiarity with business intelligence dashboards.
  • Excellent time management skills, with the ability to prioritize, multi-task, and work under shifting deadlines in a fast-paced environment.
  • Strong attention to detail.
  • Willingness to take initiative and to follow through on projects.
  • Familiar with marketing communications strategy and processes, including online media, application development, and web site development.
  • Strong interpersonal capabilities and excellent verbal and written communication skills.
  • Well-organized, detail-oriented, energetic, independent, and responsive to feedback.
  • Spelling, grammar, proofreading, and editing skills.


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