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Form of work Title: Data Scientist, Product Insights
Duration: 05 Months (Possible Extensions)
Location: San Francisco, CA
Duties:
- 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:
- 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.
- 3+ years of Data Science experience in a consumer facing role
Education:
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.
Duration: 05 Months (Possible Extensions)
Location: San Francisco, CA
Duties:
- 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:
- 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.
- 3+ years of Data Science experience in a consumer facing role
Education:
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.
