Staff Data Scientist

Staff Data Scientist

We are a high-growth, well-funded AI company building the most advanced conversational AI agents for the enterprise, serving customers like Duolingo, Notion, and Rippling.

Location :

San Francisco, CA (100% On-site)

Compensation :

$200,000 - $300,000 (Base Salary) + Equity

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Other

Industries :

IT Services and IT Consulting

Responsibilities

Deep-Dive Analysis : Conduct rigorous, deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface highly actionable insights

Experimentation : Design, implement, and analyze controlled A / B test experiments at scale to measure product changes and customer experience; champion the establishment and definition of our experimentation culture

ML Model Evaluation : Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping product and engineering teams reason through trade-offs, limitations, and business implications

Data Strategy : Enhance and extend the company's data models, metrics, and dashboards to ensure consistent, scalable reporting across all teams

Infrastructure : Build and continuously improve the data stack, ensuring scalable models, pipelines, and tools that empower self‑serve analytics across the company

Strategic Influence : Communicate findings clearly and persuasively to executives and cross‑functional stakeholders, directly influencing product strategy and key business decisions

Requirements

Experience : 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high‑scale consumer or marketplace products

Technical Proficiency : Advanced proficiency in SQL and Python, with a strong foundational knowledge in statistics and experimental design

Problem Structuring : Strong ability to structure ambiguous problems, translate them into analytical approaches, and reliably deliver business impact through data

Experimentation Track Record : A proven history of designing, running, and analyzing A / B test experiments at scale

ML Fluency : Ability to reason about and analyze machine learning models (including understanding their assumptions, trade‑offs, and impact on product outcomes)

Communication : Excellent communication skills, with demonstrated experience influencing stakeholders and driving high‑level decisions across diverse teams

Benefits

Impact : A pivotal role in a rapidly scaling AI company with significant funding, directly shaping the trajectory of the product and business performance

Compensation : Highly competitive salary ($200,000 - $300,000) and equity participation

Influence : Opportunity to influence at the highest levels, working directly with product and engineering leaders

Work Policy : 100% On‑site role, five days a week, in our San Francisco office, fostering strong technical and strategic collaboration

Tech Environment : Work with cutting‑edge conversational AI agents and LLM‑based systems

Team : Join a successful team serving industry‑leading enterprise customers

Visa Support : Offers equity (no specific visa sponsorship detail provided, please inquire during the screening process)

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 offering equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and provide 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.

Personal Data Collection

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