Early Career Data Scientist/Economist

LocationSan Francisco (hybrid), Toronto (hybrid)Employment TypeFull timeLocation TypeHybridDepartmentData ScienceCompensationSan Francisco: $145K – $220K • Offers EquityToronto: CA$107K – CA$166K • Offers EquityThe salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.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 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.What You/'ll DoTranslate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business prioritiesPartner with Product and Ops teams to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling and experimentation designDevelop forecasts for ARR, conversion, churn, and usage using economic and behavioral dataCollaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision supportWhat We’re Looking ForGraduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused rolesA blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day oneProven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settingsStrong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) toolsAn ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and qualityStrong 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 audiencesBonus PointsPrior full time or intern experience in SaaS or B2B subscription businesses and/or in the legal domainFamiliarity with experimentation platforms (e.g., Optimizely, internal tools) and BI tools (e.g., Looker, Tableau)Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @, @evenup.ai, @, or email addresses.To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.Please report impersonation to . Examples of fraudulent domains include “” and “”.Benefits & PerksAs part of our total rewards package, we offer attractive benefits and perks to our employees, including:Choice of medical, dental, and vision insurance plans for you and your familyAdditional insurance coverage options for life, accident, or critical illnessFlexible paid time off, sick leave, short-term and long-term disability10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employees and RRSP for Canada-based employeesPaid parental leaveA local in-person meet-up programHubs in San Francisco and TorontoCompensation Range: $145K - $220K #J-18808-Ljbffr

Created: 2025-09-17