Sierra

Data Scientist

Sierra

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $220,000 - $340,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudGoogle Cloud PlatformPythonSQL

About the role

  • Play a foundational role in driving data strategy and shaping Sierra’s data future
  • Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights
  • Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage
  • Build experimentation capabilities and evaluate models for experimentation and causal inference (A/B testing)
  • Partner with product, engineering, and research teams to inform product strategy and execution and experiment rapidly
  • Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for advanced analytics

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
  • 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
  • Experience working with large language models (LLMs), conversational AI, or agent-based systems (preferred)
  • Familiarity with building or improving data platforms for advanced analytics (preferred)
  • Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company (preferred)
  • Must be legally authorized to work in the United States (application asks this)
  • Must be able to work from San Francisco, CA (application asks "Are you able to work from San Francisco, CA?")