出海雷达

资深数据科学家,增长

Staff Data Scientist, Growth

市场运营全球可投
公司Alpaca
薪资未公开
工作地点Remote - Americas
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间20 天前
数据来源Greenhouse
前往企业招聘页投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

我们是谁:

Alpaca 是一家总部位于美国的全球领先代理优先经纪基础设施公司,涵盖股票、ETF、期权、加密货币、固定收益、24/5 小时交易等。

在我们的子公司中,Alpaca 是一家获得许可的金融服务公司,通过我们机构级 API 为全球 40 个国家的数百家金融机构提供服务。这包括经纪自营商、投资顾问、财富管理公司、对冲基金和加密货币交易所,总计超过 1000 万笔经纪账户。

我们的全球团队由经验丰富的工程师、交易员和经纪专业人士组成,他们致力于实现我们让全球每个人都能享受金融服务的使命。我们高度重视开源贡献,积极培育充满活力的社区,持续提升我们屡获殊荣的、开发者友好的 API 及其背后的强大基础设施。

Alpaca 获得了来自顶级全球投资者的 4 亿美元资金支持,包括 Portage Ventures、Spark Capital、Tribe Capital、Social Leverage、Horizons Ventures、Opera Tech Ventures、SBI Group、Derayah Financial、Unbound、Peak XV、Elefund 和 Y Combinator。

我们的团队成员:

我们是一个由 400 多名分布在世界各地的成员组成的动态团队,大家在世界最喜爱的地方工作,团队成员遍布美国、加拿大、日本、匈牙利、尼日利亚、巴西、英国等地!

我们正在寻找渴望为 Alpaca 的快速发展做出贡献的热情人士。如果您认同我们的核心价值观——保持好奇、富有同理心、承担责任,并准备好产生重大影响,我们鼓励您申请。

您的角色:

我们正在寻找一位资深数据科学家,负责定义并主导 Alpaca 在整个客户旅程中的衡量与增长策略——从获取、激活到留存和变现。作为增长数据领域最资深的个人贡献者,您将设定技术方向和增长的北极星,建立公司所依赖的实验和指标平台,并与产品、市场、销售和工程团队合作,决定哪些行动能真正推动进展。这是一个全新的职责:您将定义值得解决的问题,而不仅仅是执行路线图。

这个职位适合那些善于分析漏斗、循环和群体的人,热爱实验和因果推断,并希望在一家快速发展的全球经纪基础设施公司中,对数据如何驱动增长拥有实质性的掌控权。您将连接产品行为,

查看英文原文

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

We're looking for a Staff Data Scientist, Growth to define and own how Alpaca measures and grows across the entire customer journey—from acquisition and activation to retention and monetization. As the most senior individual contributor for growth data, you'll set the technical direction and the North Star for growth, stand up the experimentation and metrics platform the company builds on, and work through Product, Marketing, Sales, and Engineering to decide what moves the needle. This is a greenfield charter: you'll define the problems worth solving, not just execute a roadmap.

This role is ideal for someone who thinks in funnels, loops, and cohorts, loves experimentation and causal inference, and wants meaningful ownership over how data drives growth at a fast-growing, global brokerage-infrastructure company. You'll connect product behavior, marketing spend, and lifecycle engagement into a coherent growth model—and, as we build a more agentic Alpaca, help make growth analytics self-serve for the whole company.

What You'll Do

  • Own the growth funnel end-to-end. Analyze acquisition, activation, retention, referral, and monetization across the full user journey; find and size the highest-leverage opportunities to grow the business.
  • Run the growth experimentation engine. Design and execute A/B tests and causal/incrementality studies on onboarding, activation nudges, funding conversion, pricing, lifecycle/CRM campaigns, and referral loops—building the guardrails, metrics, and self-serve tooling that let teams experiment with rigor and velocity.
  • Model growth. Build retention/cohort analyses, churn and LTV models, CAC/payback and unit-economics views, and forecasts of core growth metrics; identify the compounding levers and growth loops worth investing in.
  • Measure what marketing and partnerships actually drive. Use attribution, incrementality testing, and channel/marketing-mix analysis to guide acquisition spend, CAC, and payback.
  • Define the growth metrics that matter. Define and maintain activation, retention, engagement, and monetization metrics and a clear North Star; partner with analytics engineering to build governed, scalable metrics and dashboards teams rely on daily.
  • Embed cross-functionally. Partner closely with Product, Marketing, Sales, Engineering, and Finance to shape strategy and turn insight into roadmap, campaigns, and go-to-market decisions.
  • Turn data into narrative. Create compelling visualizations and narratives to communicate growth insights and recommendations to cross-functional partners and senior leadership.
  • Enable self-serve and agentic analytics. Help operationalize growth analytics—moving ad-hoc requests into intuitive self-serve environments and contributing to text-to-analytics on top of our semantic layer.
  • Mentor and set standards. Mentor other data scientists and analysts, contribute to best practices, and help foster a data-informed growth culture across the organization.

What We're Looking For

  • Proven expertise in growth and/or product analytics and data science, with a strong background in statistical analysis and experimentation.
  • Hands-on experience with growth/funnel analytics—acquisition, activation, retention/churn, LTV/CAC, cohort analysis, and lifecycle/CRM analytics.
  • Experience designing and building experimentation tooling and frameworks for trustworthy A/B tests and causal-inference / incrementality analyses.
  • Familiarity with marketing measurement—attribution, incrementality, or marketing-mix modeling—a strong plus.

How We Take Care of You:

  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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