Senior Research/Data Scientist, Revenue Science

The Team: 

Upstart’s Revenue Science  team is responsible for building models to optimize our borrower/lender marketplace. Our current focus is on modeling borrower rate sensitivity to optimize how we set fees and target returns to optimize Upstart’s business objectives while satisfying various capital constraints. There is also a borrower <> lender matching system that we believe has major optimization opportunities.  We are currently interested in predicting competitive rates to improve our pricing competitiveness. 

Senior Data Scientist: 

As a Senior Data Scientist  at Upstart, you will design, implement, and analyze experiments to understand how borrowers respond to changes in the loan terms we offer them and measure the business impact of  our attempts to optimize  those loan terms. You’ll do regular deep dive analyses to understand why we’re seeing what we’re seeing and to assess the potential opportunities of optimizing new areas of the marketplace. You will regularly communicate with product managers and the business to explain your results, understand their concerns and interests, and partner with them to come up with novel analyses to answer as yet unanswered business questions. 

Senior Research Scientist:

As a Senior  Research Scientist at Upstart you will  work on optimizing our models through feature and architecture improvements, building new models for novel use-cases, and building decision systems based on these models to optimize our marketplace performance. You will collaborate with product, engineering, and other scientists and communicate your approach and results to both technical and non-technical audiences, and contribute positively to the team’s culture.

How you’ll make an impact [Data Scientist]

• Conduct detailed analysis and make recommendations to improve our models or our business
• Design, run, and analyze A/B tests and other experiments
• Write clean, readable code to execute reproducible analyses 
• Develop and socialize approaches in collaboration with other scientists and cross-functional stakeholders
• Communicate and socialize findings to get buy in for recommended next steps

How you’ll make an impact [Research Scientist]

• Independently execute ML modeling and research projects, both to improve existing models and develop entirely novel models for new use cases
• Develop and socialize approaches in collaboration with other scientists and cross-functional stakeholders
• Write clean, production quality code to train and deploy our models
• Communicate and socialize findings to get buy in for recommended next steps

Minimum Qualifications [Both]

• Strong academic credentials with a master's degree in statistics, mathematics, economics, computer science, or other quantitative areas of study
• Knowledge of causal inference techniques and experimentation
• Programming skills in Python 
• Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications
• Ability to proactively and effectively communicate results and methodologies to both technical and non-technical stakeholders 
• Strong sense of intellectual curiosity balanced with humility, drive and teamwork
• Experience solving real-world machine learning problems at a tech company
• Experience working as part of a diverse, cross-functional team.

Preferred Qualifications

• PhD in  in statistics, mathematics, economics, computer science, or other quantitative areas of study
• [DS] Expertise in causal inference and experimentation
• [RS] Expertise with causal ML techniques 
• Experience with forecasting, especially demand forecasting
• Experience working on pricing systems 
• [RS] Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
• [RS] Knowledge of MLops, pipelines, and engineering architecture 

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday, vacation, sick and safety leave  
• Supportive parental, family care, and military leave programs
• Annual wellness, technology & ergonomic reimbursement programs
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
• Catered lunches + snacks & drinks when working in offices

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