Data Scientist
Sierra•
San Francisco, CA
•Posted March 27, 2025
Human
Engineering
Overview
Employment Type
FULL-TIME
Location
San Francisco, CA
Salary
$150K - $300K
About Sierra
At Sierra, we’re building a platform to enable every company in the world to build their own autonomous AI agents for everything from customer service to commerce. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta 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. Our co-founders are Bret Taylor and Clay Bavor, both of whom have extensive experience in leading tech companies.
Company Details
Website
Job Description
Sierra has built a strong data foundation—now we’re looking for our first Data Scientist 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
- Extensive experience in data science and analytics, with background leading projects from ideation to launch.
- Passion for deeply understanding user needs and finding the right solutions from first principles.
- Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace.
- 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).
- Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data).
- Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests.
- Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders.
- Ability to partner closely with product, engineering, and leadership to help bring ideas to life.
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
- 401(k) Plan 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
Skills & Technologies
Data Science
Machine Learning
Python
R
SQL
AWS
GCP
Analytics
AI
Customer Engagement
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Apply NowJob Summary
Job Type:Human
Posted On:March 27, 2025
Location:San Francisco, CA
Salary:$150K - $300K
Category:Engineering