Data Scientist - Product

at Perplexity AI
📍 San Francisco, United States
USD 200,000-300,000 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 SQL @ 3 A/B Testing @ 3 Looker @ 3 dbt @ 3 Machine Learning @ 3 Data Science @ 3 Hiring @ 3 Data Engineering @ 3 Experimentation @ 3 BI @ 3 Snowflake @ 3

Details

We are hiring a data scientist to work on our core consumer product. As an early member of the Data Science team, you will play a pivotal role in shaping the direction of our product and company. This is an opportunity to join a fast-growing startup and help define the data science function. You will have the chance to contribute to our mission to be the world's most knowledge-centric company by reshaping the future of search and technology.

Responsibilities

  • Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption.
  • Formulate hypotheses and validate them by designing, running, and analyzing A/B tests.
  • Define the right metrics and visualizations to track features and company-wide performance and implement them in dashboards.
  • Work closely with engineering, product, growth, design, and user research teams.
  • Build tables and data assets to make analysis more efficient and make data more accessible.

Requirements

  • 6-8+ years of experience working as a data scientist or in a related role.
  • Experience at a fast-growing company focused on consumer and/or growth metrics.
  • SQL expert.
  • Extensive A/B testing and experimentation experience.
  • Extensive experience building dashboards using BI tools (examples listed: Omni, Mode, Hex, Looker or similar tools).
  • Self-starter who takes ownership of work end-to-end.
  • Comfortable tackling open-ended problems.
  • Some experience with data modeling.

Preferred Qualifications

  • Experience with dbt.
  • Comfortable with Python.
  • Experience with Snowflake (especially as an admin).
  • Experience as one of the first data scientists at an early/growth-stage company.
  • Data engineering and/or analytics engineering experience.
  • Machine learning (ML) experience.

Compensation

  • Cash compensation range: $200,000 - $300,000 per year. Final offers are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
  • Equity: In addition to the base salary, equity may be part of the total compensation package.

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents.
  • 401(k) plan.