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Data Scientist - Intermediate - Hybrid

Precision Human Capital

  • Houston, Texas
  • 30+ days ago

    Highlights

    Qualifications: BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments .

    Numbers & Facts

    LocationHouston, Texas

    Description

    Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX. 
    As the ideal candidate, you will be responsible for the following: 
    • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
    • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
    • 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 & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
    • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
    • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
    • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
    • Understand what matters most and prioritize ruthlessly
    • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)
    Qualifications:
    • BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
    • Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
    • Understanding of statistical concepts and experience in applying them.
    • Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
    • Experience in data analyses using SQL.
    • Experience in at least one programming language (preferably Python).
    • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
    Nice to haves:
    • Domain experience in product, marketing, growth, and/or other business analytics areas.
    If this opportunity speaks to you than don't delay, apply today! 

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