Staff Data Scientist

Title: Staff Data Scientist

Duration: Full Time/Direct Hire

Compensation: Base Salary $200K - $300K + Equity + Benefits

Location: Onsite at 2261 Market Street, Suite 5378, San Francisco, CA 94114

Work Authorization: US Citizens or Green Card.

Openings: 2 plus.

The client is the leading conversational AI platform empowering every brand to deliver a concierge customer experience. Their AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. They have partnered with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. The client is backed by Accel, Andreessen Horowitz, Bain Capital Ventures, BOND, A*, Elad Gil, and the founders of Box, Airtable, Rippling, Okta, and more.

Industry: Software Development, AI

Team Size: 220 Employees

Hiring manager Notes:

Required:

• 5+ years of experience in data science or product analytics roles, ideally within high-scale consumer or marketplace products
• Experience analyzing and reasoning through ML models.
• Strong understanding of statistics and experiment design
• Excellent communication skills, influencing executives and stakeholders.

Must Have:

• Staff-level or several years as a senior
• Experience at companies with a strong experimentation culture
• Proven track record of designing, running, and analyzing experiments at scale
• Candidate profile demonstrates excellence throughout every step of the career, i.e.. top schools, logos & promotions
• Undergraduate degree from a top 20 US school in Data Science, Mathematics, Physics, or Statistics.
• Advanced proficiency in SQL and Python.

About the Role

As a Data Scientist, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance. You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape client's trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.

In this role, you will

• Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.
• Enhance and extend the client’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.
• Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.
• Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.
• Build and continuously improve the client’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.
• Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.
• Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions.
• Be the primary driver of experimentation culture at the client, helping define how we design, measure, and scale experiments across the business.

What We're Looking For

• Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data.
• Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design.
• 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.
• Ability to reason about and analyze machine learning models, understanding their assumptions, trade-offs, and impact on product and customer outcomes.
• A proven track record of designing, running, and analyzing experiments at scale.
• Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.

Ready to Join Our Team?

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