Senior Data Scientist

<div class="content-intro"><p><strong>Who We Are:</strong></p> <p>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&nbsp;<a href="https://alpaca.markets/blog/alpaca-raises-150-million-at-a-1-15b-valuation-to-build-the-global-standard-for-brokerage-infrastructure/">recent Series D funding round</a> brought our total investment to over $320 million, fueling our ambitious vision.</p> <p>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 9 million brokerage accounts.</p> <p>Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of&nbsp;<strong>opening financial services to everyone on the planet</strong>. 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.</p> <p>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.</p> <p>&nbsp;</p> <p><strong>Our Team Members:</strong></p> <p>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!<br><br>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.</p></div><p><span style="font-size: 10pt;"><strong>Your Role</strong><span style="margin: 0px; padding: 0px;"><strong><span style="font-size: 10pt;">:</span></strong><span style="font-size: 10pt;"> Alpaca is seeking an experienced Senior Data Scientist to join our remote,</span></span>&nbsp;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.</span></p> <p><span style="font-size: 10pt;">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.</span></p> <h3><span style="font-size: 10pt;"><strong>What You'll Do</strong></span></h3> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Lead Advanced Analysis:</strong> Design and execute deep predictive and descriptive analyses across our core business domains, including <strong>finance, marketing, and product metrics</strong>, to identify key trends, optimization opportunities, and strategic insights.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Develop Agentic AI:</strong> Spearhead the research, proof-of-concept (PoC), and full-lifecycle development of data-intensive applications, with a specific focus on <strong>building and deploying agentic AI systems</strong>.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Drive Model Lifecycle:</strong> 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.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Cross-Functional Collaboration:</strong> Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data-driven solutions.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Evolve Capabilities:</strong> Contribute to the evolution of Alpaca's data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI.</span></li> </ul> <h3><span style="font-size: 10pt;"><strong>Required Qualifications</strong></span></h3> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Domain Experience:</strong> Proven experience as a Senior Data Scientist with direct, hands-on experience in the <strong>brokerage, trading, or financial services industry</strong>.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Technical Proficiency:</strong> Expert-level proficiency in <strong>Python</strong> (including common data science libraries like pandas, scikit-learn, etc.) and <strong>advanced SQL</strong>.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Data Science Expertise:</strong> Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Cloud &amp; Data Warehousing:</strong> Hands-on experience with <strong>cloud-native data warehouses</strong> (e.g., Snowflake, BigQuery, Redshift; we use Trino &amp; Iceberg) and familiarity with modern ETL processes.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Full-Stack Mindset:</strong> Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high-volume data.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Collaboration:</strong> Excellent communication skills and a proven ability to thrive in a fast-paced, collaborative environment, translating complex findings for non-technical stakeholders.</span></li> </ul> <h3><span style="font-size: 10pt;"><strong>Preferred Qualifications (Nice-to-Have)</strong></span></h3> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Agentic AI / LLMs:</strong> Direct experience building applications using Large Language Models (LLMs) or agentic AI frameworks (we use Google Agent Engine).</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Semantic Layers:</strong> Familiarity with data modelling and semantic layers (e.g., dbt Semantic Layer, Cube.js, LookML).</span></p><div class="content-conclusion"><h3><strong>How We Take Care of You:</strong></h3> <ul> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">Competitive Salary &amp; Stock Options</span></li> <li style="text-align: justify;">Health Benefits</li> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">New Hire Home-Office Setup: One-time USD $500</span></li> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">Monthly Stipend: USD $150 per month via a Brex Card</span></li> </ul> <p><em><span style="font-weight: 400;">Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.<br></span></em></p> <p><span style="font-size: 8pt;"><a href="https://files.alpaca.markets/disclosures/AlpacaRecruitmentPrivacyPolicy.pdf"><em><span style="font-weight: 400;">Recruitment Privacy Policy</span></em></a></span></p></div>