Data Scientist

About us

• 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, and London.
• 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.

• 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.

What you'll bring

• 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.

Even better...

• 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.

Our values

• Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
• Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
• Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
• Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
• Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.

What we offer

We want our benefits to reflect our values and offer the following to full-time employees:

• 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

These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.

Be you, with us

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.