Abridge10/09/2025
Senior Data Scientist
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
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Responsibilities
- 01Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data
- 02Ensure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production
- 03Investigate and correct issues identified through data operations monitors, tools, and reports
- 04Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development
- 05Design and analyze A/B tests to evaluate the effectiveness of product features and design changes
- 06Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes
- 07Work closely with product managers, designers, and engineers to translate data insights into product priorities
- 08Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics
- 09Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources
Requirements
- 018+ years using Python, R, SQL for analytics
- 025+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them
- 03Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
- 04Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion
- 05Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
- 06Must be willing to work from our SF or NYC office at least 3x per week
What we offer
- 01Commitment to a hybrid work model with expectation of coming into the office minimum 3 times per week
- 02Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
- 03Comprehensive Health Plans: Medical, Dental, and Vision coverage
- 04Flexible work hours
- 05Inclusive culture
- 06Ongoing learning opportunities
- 07Fast-paced, high-growth startup environment
- 08Extreme ownership culture where every employee is expected to make an impact