Data Scientist, Product Insights

3 weeks ago


San Francisco, United States Cypress HCM Full time
Job DescriptionJob 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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