MLabs
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.
Location:
San Francisco, CA Employment Type:
Full-time On-site:
5 days a week in-office
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.
Requirements
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.
Benefits
Salary: $250K - $300K
Equity: Offered
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. 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.
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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.
Location:
San Francisco, CA Employment Type:
Full-time On-site:
5 days a week in-office
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.
Requirements
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.
Benefits
Salary: $250K - $300K
Equity: Offered
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. 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.
#J-18808-Ljbffr