Energy Jobline ZR
Staff Data Scientist in San Francisco
Energy Jobline ZR, San Francisco, California, United States, 94199
Staff Data Scientist
Location: San Francisco, CA (100% On-site)
Compensation: $200,000 - $300,000 (Base Salary) + Equity
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. We are seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to our product and business strategy. This role requires a blend of strong analytical expertise, product acumen, and the ability to influence strategic decision‑making at the highest levels.
Responsibilities
Deep‑Dive Analysis: Conduct rigorous, deep‑drive 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 establishing our experimentation culture.
ML Model Evaluation: Evaluate and interpret 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: 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).
Commitment to Equality and Accessibility We are committed to offering 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 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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Compensation: $200,000 - $300,000 (Base Salary) + Equity
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. We are seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to our product and business strategy. This role requires a blend of strong analytical expertise, product acumen, and the ability to influence strategic decision‑making at the highest levels.
Responsibilities
Deep‑Dive Analysis: Conduct rigorous, deep‑drive 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 establishing our experimentation culture.
ML Model Evaluation: Evaluate and interpret 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: 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).
Commitment to Equality and Accessibility We are committed to offering 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 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