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Data Scientist - Product
San Francisco
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gill, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, Nvidia, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
We are hiring for 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
- Come up with hypotheses and validate them by designing, running, and analyzing A/B tests
- Figure out the right metrics and visualizations to track and implement them in dashboards, from features to company-wide
- Work closely with other functions, such as engineering, product, growth, design, and user research.
- Build tables to make analysis more efficient and make data more accessible
Qualifications
- 4+ years of experience working as a data scientist or related role
- Have worked at a fast-growing company working on consumer and/or growth
- SQL expert
- Extensive A/B testing experience
- Extensive experience building dashboards using BI tools (ex: Omni, Mode, Hex, Looker or similar tools)
- Self-starter and take ownership of your work end-to-end
- Comfortable with 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
- ML experience
The cash compensation range for this role is $200,000 - $270,000
Final offer amounts 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. Includes a 401(k) plan.
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