Staff Data Scientist - Economist

San Francisco, California, United States

Apply with AI Apply

$183,000 – $275,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Legal Tech, Artificial IntelligenceIndustries

Requirements

Candidates should possess a PhD in Economics, Econometrics, Statistics, or a related quantitative field, with 6+ years of experience in data science, applied economics, or a related field, preferably in high-growth tech environments. Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings, and strong statistical modeling skills including time-series, forecasting, survival analysis, and Bayesian methods are required. Experience framing business questions into well-scoped analytical or modeling problems is essential.

Responsibilities

The Staff Data Scientist - Economist will serve as a thought partner to senior leadership, shaping the use of economics and data science to drive long-term value and influence product and monetization strategy. Responsibilities include understanding platform usage patterns via funnel analysis and causal analytics to improve activation, engagement, and churn prevention. Key duties involve translating complex datasets into strategic recommendations, partnering with Product, Engineering, and Ops teams to define KPIs and lead analytics strategy for key product areas, developing forecasts for ARR, conversion, churn, and usage, and collaborating on experimentation, forecasting, and decision support best practices. Additionally, the role involves helping to build and evolve the analytical foundation and mentoring other analysts to raise the bar for data storytelling and analytical rigor.

Skills

Data Science

Economics

Causal Inference

Econometrics

Behavioral Analysis

Pricing Strategy

Growth Strategy

Product Monetization

Funnel Analysis

Data Modeling

Forecasting

Data-Driven Decision Making

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.

Land your dream remote job 3x faster with AI

Try Jobo Free