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    Data Scientist, Product Insights - San Francisco, United States - Cypress HCM

    Cypress HCM background
    Description

    Job Description

    Job Description
    Data Scientist, Product InsightsWe have an exciting opportunity for a Data Scientist, Product Insights with the top leading multimedia and creative software company in the world.
    Responsibilities:
    • Drive analyses on business metrics to understand what's impacting them
    • Own data analysis and visualization, communicating complex insights to inform and influence strategic decisions across the organization.
    • Collaborate with product and marketing teams to set success metrics, assess the impact of new initiatives, and optimize strategies based on data insights.
    • Create and refine analytical frameworks and models to support strategic decision-making.
    • Generate business strategic insights to guide the roadmap and go-to-market plan
    • Monitor market trends and user feedback to evaluate the health of the product and business
    • Build, maintain, and communicate detailed reporting & models to track performance and inform future strategies.
    • Facilitate cross-functional data-driven discussions to align product development with business goals.
    • Conduct competitive analysis to identify market opportunities and challenges, informing strategic positioning and product offerings.
    Skills and Experience:
    • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related quantitative field.
    • Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Applied Mathematics, Computer Science, or related field preferred.
    • 3+ years of Data Science experience in a consumer facing role.
    • Proficiency in Python, R, SQL, and data visualization tools like Power BI, with the ability to code complex SQL queries and create insightful dashboards.
    • Solid experience with machine learning, A/B testing, and predictive modeling, alongside a strong understanding of statistical concepts and data modeling.
    • Experience with business and product metrics and diagnosis
    • Excellent communication skills, capable of interpreting data and presenting findings in a clear manner to non-technical stakeholders
    • Independent working capability and a self starter
    • Strong analytical and problem-solving skills.
    • Experience in data visualization tools and techniques.
    • Data modeling and machine learning skills highly regarded, with bonus points for experience in content/UGC analysis.
    Compensation:
    • $79.23 to $105.63 per hour.


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