Data Scientist at Dropbox partnering with product, engineering, and design teams for analytics and business growth. Focusing on revenue growth, product optimization, and launching high - impact initiatives.
About the role
- Senior Data Scientist at Thumbtack leading data-driven decision-making through analytics and collaboration with cross-functional partners. Delivering insights and mentoring others for company-wide impact.
Responsibilities
- Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners
- Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work
- Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps
- Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable
- Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value)
- Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement
- Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams)
- Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company
Requirements
- 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc)
- Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc)
- Proficiency with SQL
- Proficiency with R or Python, including strong data visualization skills
- Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information
- Ability to build strong relationships cross-functionally and with senior leadership
- Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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