Staff Data Scientist
$145,300–$232,700 year
On-site · Bellevue, Washington, United States
Job Summary
Staff Data Scientist to lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction; own end-to-end ML lifecycle from problem framing, feature engineering, model development, deployment, to monitoring; build scalable models using large-scale transaction and dispute datasets; collaborate with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions; drive adoption of ML through explainability, performance measurement, and stakeholder alignment; develop GenAI/LLM-based explainability, workflow automation, and decision support; mentor junior team members and contribute to best practices across the data science organization; role requires in-office work three days per week.
Required Qualifications
- 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years with a PhD
- Experience with digital fluency and Generative AI tools (e.g. ChatGPT, Copilot)
- Proficiency in Python or R and SQL
- Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark)
- Experience building ML solutions in production environments
- Experience in payments, fintech, or transaction-heavy domains
- Ability to lead cross-functional projects and mentor junior team members
- Office-based role with in-office days (3 days per week)
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