Alpaca is seeking a Senior Data Scientist to join their remote, distributed team. This role is pivotal in driving insights from financial data and developing next-generation agentic AI applications using transaction, customer, and API usage data.
What You'll Do
- Design and execute deep predictive and descriptive analyses across finance, marketing, and product metrics to identify key trends, optimization opportunities, and strategic insights
- 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
- Own the end-to-end development of data science solutions, from initial research and data handling through to deployment, optimization, and maintenance
- Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data-driven solutions
- Contribute to the evolution of Alpaca's data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI
What We're Looking For
- Proven experience as a Senior Data Scientist with direct, hands-on experience in the brokerage, trading, or financial services industry
- Expert-level proficiency in Python (including common data science libraries like pandas, scikit-learn, etc.) and advanced SQL
- Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment
- Hands-on experience with cloud-native data warehouses (e.g., Snowflake, BigQuery, Redshift; they use Trino & Iceberg) and familiarity with modern ETL processes
- Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high-volume data
- Excellent communication skills and a proven ability to thrive in a fast-paced, collaborative environment, translating complex findings for non-technical stakeholders
Nice to Have
- Direct experience building applications using Large Language Models (LLMs) or agentic AI frameworks (they use Google Agent Engine)
- Familiarity with data modelling and semantic layers (e.g., dbt Semantic Layer, Cube.js, LookML)
Technical Stack
Python, pandas, scikit-learn, SQL, Snowflake, BigQuery, Redshift, Trino, Iceberg, ETL, Google Agent Engine, dbt Semantic Layer, Cube.js, LookML
Team & Environment
Alpaca's data science team is part of a 230+-person globally distributed organization, operating in a collaborative, remote-first environment.
Benefits & Compensation
- 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
Compensation includes a competitive salary, stock options, and a monthly stipend of $150 via Brex Card.
Work Mode
Remote, distributed team with team members across the USA, Canada, Japan, Hungary, Nigeria, Brazil, UK, and beyond. Alpaca operates as a global, fully remote organization.
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
