Data Scientist

Sierra • San Francisco, CA

49d • Onsite

About The Position

At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Sierra has built a strong data foundation—now we're looking to grow our Data Science team to unlock its full potential. You’ll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you’ll develop predictive models, build experimentation capabilities, and embed data-driven decision-making across the company. This is a unique opportunity to shape Sierra’s data future and make a lasting impact on AI-powered customer interactions.

Requirements

• Proven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch.
• Curiosity & Customer-centricity: Passion for deeply understanding user needs and finding the right solutions from first principles.
• Adaptability and Resilience : Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace.
• Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud-based platforms (e.g., AWS, GCP).
• Strong analytic skills: Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data).
• Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests.
• Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders.
• Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life.

Nice To Haves

• Experience working with large language models (LLMs), conversational AI, or agent-based systems.
• Familiarity with building or improving data platforms for advanced analytics.
• Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company.

Responsibilities

• Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies.
• Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage.
• Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly.
• Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics.

Benefits

• Flexible (Unlimited) Paid Time Off
• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g. 401K, pension) with Sierra match
• Parental Leave
• Fertility and family building benefits through Carrot
• Lunch, as well as delicious snacks and coffee to keep you energized
• Discretionary Benefit Stipend giving people the ability to spend where it matters most
• Free alphorn lessons

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees