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Senior Data Scientist

Senior Data Scientist partnering with product, engineering, design, and business stakeholders to analyze user behavior, develop segmentation and propensity models, and guide product experimentation. Requires 8+ years of analytics experience, strong SQL and statistical expertise, and excellent communication and influence skills.

154k – 261k/yr
Remote8+ YOEData Science

About the role

Responsibilities

  • Perform analytical deep-dives to analyze problems and opportunities, identify hypotheses, and design and execute experiments.
  • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes.
  • Identify key trends and build automated reporting and executive-facing dashboards to track acquisition, monetization, and engagement trends.
  • Identify opportunities, advocate for new solutions, and build cross-functional momentum around data-grounded ideas.
  • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue, and promote best practices for multivariate experimentation.
  • Translate complex concepts into business implications through excellent verbal and written communication.
  • Work with cross-functional teams including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives to rapidly execute and iterate.

Requirements

  • Bachelor's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
  • 8+ years of experience using analytics to drive key business decisions, including business, product, or marketing analytics; business intelligence; or strategy consulting.
  • Ability to work independently and proactively engage business stakeholders with minimal direction.
  • Significant experience with SQL.
  • Deep understanding of statistical analysis, experimentation design, regression, decision trees, and common analytical techniques.
  • Strong verbal and written communication skills.
  • Strong leadership and influence skills.

Preferred Qualifications

  • Product analytics experience in a SaaS company.
  • Master's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
  • Programming or scripting proficiency and knowledge of statistical packages such as R or Python.

Durable Skills

  • Awareness: Understand yourself and others.
  • Judgment: Evaluate information and make decisions in complex situations.
  • Adaptability: Learn, adjust, and stay effective through change.
  • Connection: Communicate, collaborate, and build trust.

Compensation

  • US Zone 1: $193,000–$261,000 USD
  • US Zone 2: $173,700–$234,900 USD
  • US Zone 3: $154,400–$208,800 USD

Skills

SQLPythonRStatistical Analysisexperimentation designregressiondecision treespropensity modelingcustomer segmentationProduct Analyticsmultivariate testingData Visualizationexecutive dashboardsBusiness IntelligenceSaaS

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