Scale is looking for a data scientist to join our team to help advance the development of AI. As a member of the data science team, you will lead the charge of building our data science infrastructure for Gen AI products and driving insights that lead to step-function improvements in how we operate.
The ideal candidate is detail-oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems.
You will :
- Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap.
- Adapt statistical models to solve specific hard problems in fields of economics, price theory, and marketplace experimentation.
- Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs / models.
- Tackle business-critical questions by developing and testing hypotheses, and aiding evidence-based decision making.
- Partner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps.
Ideally, You'd Have :
- 5+ years of industry experience in a highly analytical role.
- Degree in a quantitative field (e.g., Maths, Engineering).
- Strong proficiency in Python.
- Experience with marketplace experimentation.
- Expert-level proficiency in writing complex SQL queries across large datasets.
- Expertise in designing metrics and diagnosing data inconsistencies.
The base salary range for this full-time position in the location of San Francisco is : $172,000 $206,000 USD.
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