Staff Data Scientist at MLabs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

300000.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Product Analytics, Statistical Methods, A/B Testing, Machine Learning, SQL, Python, Experimental Design, Data Models, Metrics, Dashboards, Data Pipelines, Analytics, Communication, Strategic Decision-Making

Industry

IT Services and IT Consulting

Description

Location: San Francisco, CA Employment Type: Full-time On-site: 5 days a week in-office About the Role Our client, a high-growth AI company building advanced conversational AI agents for enterprises (with over $231 million in funding and clients like Duolingo and Notion), is seeking a Staff Data Scientist. This role demands deep technical rigor to analyze, test, and apply data across the business. You'll blend advanced analytical expertise with product acumen to influence strategic decisions at the highest levels, being the primary driver of the experimentation culture. What You'll Do Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights. Design, implement, and rigorously analyze controlled A/B test experiments to measure product changes and drive the experimentation culture across the company. Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), reasoning through trade-offs and business implications of model-driven decisions. Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting. Build and continuously improve the data stack, ensuring scalable pipelines and tools that empower self-serve analytics. Communicate findings clearly and persuasively to executives and cross-functional stakeholders, directly influencing strategic decision-making. 5+ years of experience (or equivalent) in data science or product analytics roles, ideally within high-scale consumer or marketplace products. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. Strong ability to structure ambiguous problems and translate them into analytical approaches that deliver business impact. Proven track record of designing, running, and analyzing experiments at scale. Ability to reason about and analyze machine learning models, understanding their assumptions and product impact. Salary: $250K - $300K Equity: Offered Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

Conduct deep-dive analyses on user behavior and product performance to provide actionable insights. Design and analyze A/B tests to measure product changes and influence strategic decisions.