Developer APIs for stocks and crypto trading, investing apps, and embedded fintech.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 201-500H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

100 days ago

Salary

Not specified

Bachelor DegreeEnglishAmazon RedshiftBig QueryCloudETLPandasPythonScikit LearnSQL

Job Description

• 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.

Job Requirements

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; we 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.

Benefits

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

Related Categories

Data Scientist

Related Job Pages

Remote Full-time Jobs (US)Remote Python Jobs (US)More US Remote Jobs

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