FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Growth Data Scientist
Clear Street. Own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining evaluation frameworks and automated quality gates for AI systems in trading platforms, with a strong focus on model improvement cycles and data-driven decision-making. Possesses deep knowledge of trading concepts and the ability to communicate complex ideas effectively to users.
Highest-signal resume keywords
Model Improvement CyclesEvaluation FrameworksTrading ConceptsRust ProgrammingData-Driven Decision Making
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Programming Language ProficiencyTesting MethodologySystems DesignDataset CurationLabeling/QABenchmark SuitesIncident Response DesignTelemetryRegression WorkflowsFine-Tuning Techniques
Soft Skills
Self-MotivationProblem-Solving
Tools & Technologies
RustTypeScriptPostgresReactReact NativeLLM APIsObservability ToolingEval/Training Pipelines
Industry Keywords
AI CopilotTrading PlatformMarket AnalysisPortfolio/Risk ReasoningOrder PlacementAdversarial CasesHigh-Stakes Applications
Tech Stack
Tools & technologiesPostgresReactReact NativeRustTypeScript
About the role
Key responsibilities & impact- Own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors
- Design and build evaluation systems measuring correctness, safety, latency, and regression risk across market analysis, portfolio/risk reasoning, and trading workflows including order placement
- Develop and maintain curated golden sets, scenario suites, stress/adversarial cases, and market/regime-based test corpora
- Build automated quality gates and regression workflows that block releases when key metrics degrade
- Partner with engineering and product to define safe tool/action contracts, deterministic previews, confirmations, auditability, and predictable assistant behavior
- Own model improvement loops involving data collection/labeling strategies, error taxonomy, prompt/tooling changes, fine-tuning, or preference optimization
- Design and operate AI monitoring and incident response, including telemetry, alerting, RCA, and fix-forward processes
- Develop deep understanding of trading concepts and express them accurately and understandably to users
- Work with the tech stack: Rust, TypeScript, Postgres, React, React Native, observability/telemetry tooling, LLM APIs, model serving, and eval/training pipelines
Requirements
What you’ll need- At least Eight (8) years of experience shipping production software
- Strong proficiency with any programming language
- Strong knowledge of computer science fundamentals, testing methodology, and systems design
- Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems (LLMs/agents/search/retrieval/ranking/recommenders)
- Experience running model improvement cycles: dataset curation, labeling/QA, offline experimentation, and deploying changes with measurable impact on benchmarks
- Ability to define metrics, build measurement pipelines, and drive engineering/product decisions from data
- Comfort working across the stack: debugging model/tooling failures, instrumenting services, and partnering with frontend/product on UX patterns that improve safety and trust
- High degree of self-motivation and willingness to jump into unfamiliar areas to solve problems
- Experience with fine-tuning, preference optimization, distillation, or prompt/compiler-style techniques for improving tool-use reliability (bonus)
- Experience creating domain-specific benchmarks and adversarial suites for high-stakes applications (bonus)
- Deep experience with trading across asset classes and margin types (bonus)
- Experience with Rust and performance-sensitive services (bonus)
- Experience designing incident response and SLOs for ML/AI systems (bonus)
Benefits
Comp & perks- Company equity
- 401k matching
- Gender neutral parental leave
- Full medical, dental and vision insurance
- Lunch stipends
- Fully stocked kitchens
- Happy hours
- Great location
- Amazing views
- Collaborative culture
- Equal opportunity workplace