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Principal Applied Scientist

3 months, 2 weeks ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Machine Learning Prototyping Statistics
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Upstart

Upstart

Upstart Powered Loans: Personal, Car Refinance & Consolidation Through Upstart, apply online for a fast personal loan, auto refinancing, or debt consolidation. Try our quick rate check today with no impact to your credit! Founded by ex Googlers, Upstar...

Banks
1K-5K
Founded 2012
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Description

  • Define the technical vision for how offer decisioning systems connect across partnerships, always-on systems, and marketplace optimization.
  • Build and guide conversion modeling approaches that optimize decisions across multiple stages of the customer journey.
  • Ensure models and decision policies account for downstream impacts, business constraints, and later-stage optimization opportunities.
  • Design interfaces between decision systems and optimization or constraint-specification components.
  • Drive cross-functional technical alignment across teams owning adjacent parts of the problem.
  • Scope and lead large, ambiguous initiatives requiring deep modeling judgment and strong systems thinking.
  • Partner with scientists, engineers, and cross-functional stakeholders to translate analytical insights into production-ready approaches.
  • Help ensure work across domains converges toward a unified architecture and decisioning strategy.
  • Contribute to implementation and experimentation by prototyping models, reviewing code, and helping operationalize approaches in production.

Requirements

  • Advanced degree in a quantitative field such as statistics, mathematics, economics, computer science, operations research, or a related discipline.
  • 8+ years of experience building and deploying machine learning models into production at scale.
  • Experience with optimization, operations research, or constrained decision-making problems.
  • Working knowledge of causal inference or causal machine learning.
  • Strong grounding in statistics and probability.
  • Experience leading large cross-functional technical initiatives with multiple stakeholders.
  • Experience working across multiple technical teams to align approaches, define interfaces, and move toward a shared vision.
  • Experience solving real-world machine learning or data science problems in a high-impact production environment.
  • PhD in operations research, statistics, economics, computer science, or another quantitative field (preferred).
  • Experience with offer optimization, pricing systems, marketplace optimization, or related decisioning systems (preferred).
  • Experience with end-to-end modeling from problem framing through productionization (preferred).
  • Experience in fintech, lending, marketplaces, or other domains with downstream constraints and business tradeoffs (preferred).
  • Experience serving as a principal-level technical lead across multiple teams or product areas (preferred).
  • Experience mentoring other senior scientists or raising the technical bar across an organization (preferred).
  • Able to work remotely in the U.S. or Canada outside Quebec, with regular in-person onsites.
  • Works on East/West coast time zones.

Benefits

  • Base salary of $238,400 to $330,200 USD for U.S. remote roles or $220,200 to $277,000 CAD for Canada remote roles.
  • Target bonuses and equity compensation.
  • Comprehensive medical, dental, vision, and 401(k) benefits.
  • Company match of $2 for every $1 contributed to a 401(k) or Group Retirement Savings Plan, up to $15,000 annually.
  • Employee Stock Purchase Plan with discounted stock purchase options for eligible U.S. employees.
  • Paid time off, sick leave, and company holidays.
  • Paid family and parental leave, plus fertility, parenthood, and caregiving support.
  • Employee Assistance Program with mental health support and life-centered resources.
  • Annual wellness allowance and annual productivity allowance.
  • Health Savings Account contributions for eligible U.S. plans.

Interested in this position?

Apply directly on the company website

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