Data Scientist, Product Analytics
Flair.ai is revolutionizing product photography with AI-powered design tools that enable users to create stunning photoshoots in seconds. Our platform empowers businesses to produce high-quality imagery for marketing and e-commerce, streamlining the creative process with innovative features and real-time collaboration.
Employer: Osmando, Inc. DBA Flair AI
Job location: 535 Mission Street, Floor 17, San Francisco, CA 94105
The Data Scientist, Product Analytics will leverage technical skills in data analytics to drive product strategy, influence marketing decisions, and solve complex problems to enhance our AI-driven design tools and collaborate with cross-functional teams on Product Design, Engineering, AI Research, Marketing, and Sales. Specific responsibilities include:
- Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks
- Conduct advanced statistical analysis, machine learning, and data mining to drive product insights
- Develop and implement predictive models to support product strategy and decision-making
- Define key performance indicators (KPIs) and develop dashboards to monitor product performance
- Conduct A/B testing and other experimental methods to measure the impact of product changes
- Continuously track and analyze user behavior to identify trends and inform product improvements
- Leverage data to inform product development, identify growth opportunities, and anticipate challenges
- Collaborate with teams to prioritize features, set measurable goals, and understand the product ecosystem
- Translate complex data into compelling, actionable insights that influence product strategy
- Build strong relationships with cross-functional teams to ensure data-driven decision making
Requirements: Master's degree in data analytics, business analytics, or other closely related field, plus 1 year of related experience in data analytics.
Offered Salary: $150,000/year
How to Apply: Osmando, Inc. 115 West 86th Street, New York, NY 10024