Senior Data Scientist

Stack

Responsibilities

• ▹Collect, clean and analyze internal and external data to surface insights, trends and patterns relevant to the business and product
• ▹Maintain end-to-end visibility of the AI generation pipelines, from internal quality metrics to automated assessment in production
• ▹Investigate and correct issues identified by data operations monitors, tools and reports
• ▹User behavior modeling: analyze user interactions, engagement metrics and funnels to improve the product and develop features
• ▹Design and analyze A/B tests to evaluate product features and design changes
• ▹Design and analyze metrics to evaluate AI models and guide the team on gaps in the evaluation process
• ▹Work with product managers, designers and engineers to translate data insights into product priorities
• ▹Serve as a domain expert on the business context of analytics data, explaining assumptions and limitations of business metrics
• ▹Identify and fill gaps in data sources together with product, engineering, partner success and executive teams

Requirements

• ▹8+ years using Python, R and SQL for analytics
• ▹5+ years in product-facing roles, driving product outcomes through A/B testing and setting ambitious project and company-level goals
• ▹Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
• ▹Excellent communicator who can present quantitative findings clearly to non-technical stakeholders
• ▹Comfort building data capabilities from the earliest stages through rapid growth, working closely with data engineering and machine learning
• ▹In the SF or NYC office at least 3 days per week (hybrid model)

Nice to have

• ▹Knowledge of healthcare settings, electronic health records (EHR) and healthcare billing

Soft skills

What we offer

• ▹14 paid holidays, flexible PTO for salaried employees, accrued time off for hourly employees
• ▹Medical, dental and vision coverage for full-time employees and their families
• ▹Monthly HSA contributions with a High Deductible Health Plan
• ▹Paid parental leave
• ▹Family forming benefits
• ▹401(k) matching
• ▹Personal device allowance
• ▹Pre-tax benefits: FSA and commuter benefits
• ▹Monthly lifestyle wallet for fitness, professional development, coworking and more
• ▹Mental health support: therapy and coaching
• ▹Paid sabbatical leave after 5 years
• ▹Competitive compensation and equity

About the company

Abridge was founded in 2018 to power deeper understanding in healthcare. Its AI platform turns patient-clinician conversations into structured clinical notes in real time, with deep EMR integrations. The team includes practicing MDs, AI scientists and engineers, with offices in San Francisco, New York and Pittsburgh.