Economist - Data Analytics Expert

3 weeks ago


Market St San Francisco CA USA, United States Cambly Full time

About Cambly:

Our mission is to provide high-quality English education to every English learner in the world by matching students and tutors through a user-friendly platform.

We strive to become the world's largest English language learning marketplace by accomplishing our mission.

We are seeking a talented data expert who is passionate about changing the way people learn languages. You will be responsible for owning all analytics and models related to the economics of a subscription business.

This includes, but is not limited to:

  • Constructing methods to optimize packages and prices for our services
  • Forecasting our subscriber base and their value to Cambly
  • Building and maintaining key financial metrics

You will also be part of a growing community of high-quality data professionals where you will help set the processes and culture for a technically rigorous data organization.

Key Responsibilities:

  • Develop and implement data-driven strategies to inform business decisions
  • Design and build metrics from conception to data pipeline implementation
  • Drive data strategies with a central source of truth to impact business decisions
  • Collaborate with cross-functional teams to integrate data insights into business operations

Requirements:

  • 4+ years of industry experience and a Master's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
  • Experience in using machine learning and forecasting techniques to solve business problems
  • Deep understanding of ML lifecycle best practices (e.g., training/serving, feature engineering, feature/model selection, labeling)
  • Expertise in at least one programming language for data analysis (Python or R) and SQL
  • Proven ability to succeed in both collaborative and independent work environments
  • Proven ability to communicate clearly to audiences of varying technical levels

Preferred Qualifications:

  • 8+ years of relevant industry experience
  • Experience in building ML applications for Finance
  • Experience with setting up experiments and/or utilizing non-experimental causal inference methods like regression analysis to inform business decisions

What We Offer:

  • 60M VC backed company with a strong financial foundation
  • Hybrid First Company (M, T, Th) with flexible work arrangements
  • Catered lunches and snacks
  • 100% of Medical, Dental, and Vision paid along with matching 401k
  • Maternity and Paternity Paid Leave
  • 20 days of true, unbothered PTO
  • End-of-year shutdown
  • Family-friendly environment with amazing work/life balance and culture
  • Charity donation match
  • Opportunity to make a meaningful impact on the lives of English learners around the world


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