Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.
About the role
- Support experiments, new feature launches and strategic initiatives for Venmo
- Collaborate with product and engineering counterparts to support experiments and feature launches
- Lead the development and implementation of advanced data science models
- Mine Venmo’s data to generate insights and analyze consumer product performance and health
- Partner with product leaders to recommend metrics and build business cases
- Identify key metrics, conduct explorative data analysis, and create executive-facing dashboards
- Triage product issues, provide recommendations and optimization strategies
- Collaborate with engineering and data engineering to enable feature tracking and build data pipelines
- Ensure data quality and integrity and resolve complex data and tracking issues
- Define and cultivate best practices in analytics instrumentation and experimentation
- Drive best practices in data science and stay updated with latest trends
- Mentor and guide junior data scientists and analysts
- Support multiple projects simultaneously in a fast-paced, results-oriented environment
Requirements
- Minimum of 5 years of relevant work experience
- Bachelor’s degree or equivalent experience
- At least 5 years of experience analyzing large, multi-dimensional data sets
- B.S. in a quantitative field; advanced degrees preferred
- Fluent in SQL and at least one scripting language such as Python or R
- Comfortable working with large, complex, and potentially messy datasets
- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression)
- Experience designing and evaluating complex experiments
- Exceptional communication skills, both written and verbal
- Strong interpersonal skills and experience leading cross-functional teams
- Prior work experience in a product analytics space highly valued
- Ability to mentor and guide junior analysts/data scientists
- Highly motivated, result-oriented self-starter; comfortable with ambiguity
- Ability to support multiple projects in a fast-paced environment
Benefits
- annual performance bonus (or other incentive compensation, as applicable)
- equity
- medical, dental, vision
- health and life insurance
- employee shares options
- flexible work environment
- balanced hybrid work model (3 days in the office, 2 days remote/home)
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