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
Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.
