EvenUp

Early-Career Data Scientist / Economist

EvenUp

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $145,000 - $220,000 per year

Job Level

Junior

Tech Stack

KerasPandasPythonScikit-LearnSQLTableauTensorflow

About the role

  • EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
  • We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.
  • About the team: The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting.
  • We are looking for a curious, impact-driven early career Economist / Data Scientist to join our fast-paced, data-driven team. You’ll work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization. You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business, and shape the way we use economics and data science to drive long-term value.
  • The ideal candidate for this role may be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to data management and data science. More senior candidates are also welcome to apply.
  • Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto.

Requirements

  • Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles
  • A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
  • Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings
  • Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality
  • Strong verbal and written communication skills - ability to distill complex findings from models and economic reasoning into compelling insights and communicate effectively with technical and non-technical audiences
  • Prior full time or intern experience in SaaS or B2B subscription businesses and/or in the legal domain
  • Familiarity with experimentation platforms (e.g., Optimizely, internal tools) and BI tools (e.g., Looker, Tableau)