Senior Data Scientist

Who We Are: Alpaca is a US-headquartered self-clearing broker‑dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. 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 6 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 top‑tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We’re a dynamic team of 230+ 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: Alpaca is seeking an experienced Senior Data Scientist to join our remote, distributed team. This role is pivotal in driving insights and innovation from our rich data ecosystem, including financial transactions, customer data, API usage patterns, and third‑party sources. You will be responsible for applying deep predictive and descriptive analytics to unlock strategic value and will be a key player in developing our next generation of agentic AI applications. What You’ll Do: Lead Advanced Analysis: Design and execute deep predictive and descriptive analyses across our core business domains, including finance, marketing, and product metrics , to identify key trends, optimization opportunities, and strategic insights. Develop Agentic AI: Spearhead the research, proof‑of‑concept (PoC), and full‑lifecycle development of data‑intensive applications, with a specific focus on building and deploying agentic AI systems . Drive Model Lifecycle: Own the end‑to‑end development of data science solutions, from initial research and data handling (high‑volume transactions, metrics) through to deployment, optimization, and maintenance. Cross‑Functional Collaboration: Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data‑driven solutions. Evolve Capabilities: Contribute to the evolution of Alpaca’s data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI. Required Qualifications: Domain Experience: Proven experience as a Senior Data Scientist with direct, hands‑on experience in the brokerage, trading, or financial services industry . Technical Proficiency: Expert‑level proficiency in Python (including common data science libraries like pandas, scikit‑learn, etc.) and advanced SQL . Data Science Expertise: Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment. Cloud & Data Warehousing: Hands‑on experience with cloud‑native data warehouses (e.g., Snowflake, BigQuery, Redshift; we use Trino & Iceberg) and familiarity with modern ETL processes. Full‑Stack Mindset: Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high‑volume data. Collaboration: Excellent communication skills and a proven ability to thrive in a fast‑paced, collaborative environment, translating complex findings for non‑technical stakeholders. Preferred Qualifications (Nice‑to‑Have): Agentic AI / LLMs: Direct experience building applications using Large Language Models (LLMs) or agentic AI frameworks (we use Google Agent Engine). Semantic Layers: Familiarity with data modelling and semantic layers (e.g., dbt Semantic Layer, Cube.js, LookML). 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. #J-18808-Ljbffr