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SpadeSpadeNew York, NY

Data Scientist

Build and ship real-time machine learning and AI products that structure financial transaction data, partnering with engineering and product from prototype through production. The role requires 3+ years of model development experience, with senior openings requiring 5+ years and mentoring experience.

175k – 230k/yr
Hybrid3+ YOEData Science

About the role

Responsibilities

  • Own the full lifecycle of ML/AI products, from initial prototype through production systems serving real customers.
  • Build automated models and pipelines that improve data quality, accuracy, and coverage.
  • Develop real-time ML/AI systems using traditional machine learning, NLP models, and AI agents on merchant, location, and transaction datasets.
  • Build models that are accurate, scalable, robust, and production-ready.
  • Partner closely with engineering and product to move ideas from prototype to production and optimize for customer value.
  • For senior-level roles, help shape the data science roadmap and priorities in partnership with leadership.
  • For senior-level roles, mentor other data scientists and raise team engineering and modeling standards.

Requirements

  • 3+ years building and shipping models in Python in a fast-paced environment; 5+ years for senior-level roles.
  • Hands-on experience working with engineering and product teams.
  • Strong machine learning, statistics, and data fundamentals.
  • Experience with PySpark, pandas, and SQL.
  • Product mindset and ability to navigate ambiguity while optimizing for customer value.
  • Collaborative approach and openness to feedback.
  • Familiarity with coding assistants and LLMs as part of an AI-forward workflow.
  • Based in NYC with the ability to work from the Flatiron office at least two days per week.

Senior-Level Requirements

  • 5+ years of experience with end-to-end ownership of ML/AI products from idea to production.
  • Experience shipping customer-facing ML/AI-powered products.
  • Track record of mentoring and raising team standards.

Nice to Have

  • Databricks.
  • Data pipelines.
  • Hex.
  • Generative AI feature or product development.
  • Fintech experience, especially with transaction, merchant, or location data.
  • Experience at an early-stage, high-growth startup.

Compensation and Benefits

  • Competitive compensation consisting of salary, equity, and benefits.
  • Meaningful equity with flexibility for early exercise and an extended post-termination exercise period.
  • 100% paid medical, mental health, dental, and vision premium option, plus One Medical membership for US-based employees.
  • 401(k).
  • 12 weeks of fully paid parental leave.
  • Unlimited PTO.
  • Hybrid, dog-friendly NYC headquarters with remote opportunities for certain roles in the US and Canada.
  • Work-from-home stipend, company-paid lunches, Citibike membership, and additional support.
  • Anticipated base salary range is $175,000-$230,000 USD.

Skills

PythonMachine LearningNLPAI AgentspysparkpandasSQLStatisticsDatabricksData PipelinesHexGenerative AILLMsFintech

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