资深数据科学家，定价
Staff Data Scientist, Pricing
About Courtyard
Courtyard.io 是增长最快的收藏品初创公司。我们通过实现即时流动性并提供高速、沉浸式的体验，正在革新收藏品交易领域。从交易卡到漫画书，我们正在重新定义人们发现、收集和释放价值的方式。
Courtyard 不仅仅是一个市场。所有资产都安全存放在保险库中并完全投保，让收藏者在享受无与伦比的速度和简便性的同时获得安心。无论你是投资、发现还是打造你的梦想收藏，我们都构建了一个值得信赖、简单且以速度为优先的平台。
我们才刚刚开始。我们是一家以远程办公为主导的公司，正在各个职能领域招聘人才，以推动收藏品和数字所有权的边界。
Job Summary
Courtyard 正在招聘一名资深数据科学家，负责我们收藏品组合的定价。定价是我们的核心业务——它每天影响收入和运营决策，并有直接的财务后果。该职位将建立并改进我们对大量、异构的、通常交易量稀少的资产的定价方法。你将与工程团队紧密合作，优化定价流程；与运营团队合作，获取现实世界的反馈循环；并与数据团队的其他成员一起进行测量和评估。
What You’ll Do
- 负责并持续优化不同资产类别的定价模型，包括为新出现或交易量稀少的资产类型设计方法
- 构建数据质量和异常检测系统，用于对抗性和损坏的外部数据输入
- 与工程团队合作，将生产代码部署到我们的定价流程和服务中
- 与运营、财务和产品团队合作，参与公司内部的定价相关决策
What We’re Looking For
- 扎实的应用统计学、经济学或信号处理基础——包括稳健估计、状态空间模型、稀疏/分层数据、异常检测和不确定性量化
- 感兴趣的背景：量化交易、欺诈/异常检测、计算神经科学或物理——除了传统的定价或市场数据科学外
- 有从头到尾负责生产环境评分或定价系统的记录
- 熟练使用生产级 Python 和 SQL；熟悉真实代码库并能将模型部署到持续运行的服务中
- 有处理稀疏、不规则、异构或对抗性数据的经验
- 对建模有务实态度——选择适合你实际数据的工具
查看英文原文
About Courtyard
Courtyard.io is the fastest-growing collectibles startup, ever. We are revolutionizing the world of collectibles trading by enabling instant liquidity and delivering a high-velocity, immersive experience. From trading cards to comics, we’re redefining how people discover, collect, and unlock value.
Courtyard is not just another marketplace. All assets are securely vaulted and fully insured, giving collectors peace of mind alongside unmatched speed and simplicity. Whether you’re investing, discovering, or curating your dream collection, we’ve built a platform that’s trusted, simple, and built for speed.
And we’re just getting started. We’re a remote-first company hiring across all functions to push the boundaries of what’s possible in collectibles and digital ownership.
Job Summary
Courtyard is hiring a Staff Data Scientist to own pricing across our portfolio collectibles. Pricing is load-bearing at our business — it touches revenue and operational decisions daily, with direct financial consequences. This role builds and improves our pricing methodology across a large, heterogeneous catalog of often-thinly-traded assets.You'll partner closely with engineering on our pricing pipeline, with operations on real-world feedback loops, and with the rest of the data team on measurement and evaluation.
What You’ll Do
- Own and evolve pricing models across asset categories, including designing approaches for new and sparsely-traded asset types
- Build data quality and anomaly detection systems for adversarial and corrupted external data inputs
- Ship production code into our pricing pipeline and services in partnership with engineering
- Partner with operations, finance, and product on pricing-related decisions across the company
What We’re Looking For
- Strong foundations in applied statistics, economics, or signal processing — robust estimation, state-space models, sparse/hierarchical data, anomaly detection, and uncertainty quantification
- Backgrounds of interest: quantitative trading, fraud/anomaly detection, computational neuroscience or physics — in addition to traditional pricing or marketplace DS
- Track record owning a production scoring or pricing system end-to-end
- Production-grade Python and SQL; comfort working inside a real codebase and shipping models into continuously-running services
- Experience with sparse, irregular, heterogeneous, or adversarial data
- Pragmatism about modeling — right tool for the data you actually have
- 5+ years of industry experience or Ph.d
- Bonus: experience sourcing heterogeneous external data via API or scraping
What You’ll Get In Return
- A dynamic and engaging environment focused on fostering real growth and innovation
- Opportunities to create amazing products that our customers truly love and value
- Comprehensive health insurance packages with dependent coverage
- Competitive salary with ample opportunities for career advancement and development
- Enjoy the flexibility of a fully remote work environment
- 401(k) plan with a 4% employer match to help you plan for the future
- $100 monthly dogfooding stipend to support trying out our products firsthand
- Access to employee wellness programs designed to support your overall well-being
Originally posted on Himalayas