Data Scientist, Growth
About The Position
You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making. You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap. You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work. You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions. You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!)
Requirements
- Comfortable with ambiguity and motivated by business results.
- Expertise in SQL and at least one scripting language (ideally Python or R).
- Ability to use statistical inference and experimentation to drive actionable recommendations.
- Comfortable transforming raw data to build own data sets if the measure needed doesn't exist yet.
- Bias for using the right tools to get a job done with maximum efficiency.
- Experience making tradeoffs between speed and accuracy.
Nice To Haves
- Worked at a fast-growing start-up.
- Experience at a B2B SaaS company.
- Track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data.
- Experience building predictive models, and knowledge of how to evaluate their effectiveness.
Responsibilities
- Apply expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.
- Explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.
- Partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work.
- Work with teams to determine north star and operational metrics, and build foundational datasets and dashboards to monitor progress and make key decisions.
- Influence the broader company by communicating findings and driving change in product and business.
Benefits
- Highly competitive cash compensation
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
