Early Career Data Scientist/Economist at EvenUp

San Francisco, California, United States

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$145,000 – $220,000Compensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Legal Tech, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Data ScienceEconomicsCausal InferenceEconometricsBehavioral AnalysisData ManagementPricingGrowth StrategyProduct MonetizationForecastingData ModelingReportingAI

Questions & Answers

Common questions about this position

What qualifications are required for the Early Career Data Scientist/Economist role?

Candidates need deep expertise in both economics and applied data science, graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles, and a blend of economic theory, applied econometrics, and business.

What is the ideal background for this position?

The ideal candidate is a recent economics PhD graduate with relevant research experience in computationally intensive empirical topics, plus some exposure to data management and data science; more senior candidates are also welcome.

What does the Analytics team do at EvenUp?

The Analytics team drives data-informed decision-making by partnering 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, handling everything from data modeling to advanced analytics and forecasting.

Is this role remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

EvenUp

Legal services for personal injury cases

About EvenUp

EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$214MTotal Funding

SERIES_DCompany Stage

LegalIndustries

201-500Employees

Risks

Increased competition from other legal tech startups could erode EvenUp's market share.

Reliance on a contingency fee model poses financial risks with unsuccessful cases.

Potential regulatory changes in AI use could impact EvenUp's operations.

Differentiation

EvenUp uses AI to automate legal document creation, reducing time and costs.

The company targets the $20 million insurance claim market with AI-driven solutions.

EvenUp's meticulous case preparation results in high settlement amounts and quick resolutions.

Upsides

Recent $135 million Series D funding shows strong investor confidence in EvenUp.

Launch of AI assistant Litty highlights growth in generative AI for legal automation.

Strategic board appointments could open new avenues for growth and partnerships.

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