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Data Scientist
Perplexity AI San Francisco, CA
$109k-135k (estimate)
Full Time 1 Month Ago
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Perplexity AI is Hiring a Data Scientist Near San Francisco, CA

We are looking for our third Data Scientist. 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, GTM, 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
  • Experience 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

Bonus

  • Experience with dbt
  • Comfortable with Python
  • Experience with Snowflake (especially as an admin)
  • Experience working with user research to blend qualitative and quantitative insights
  • Experience as one of the first data scientists at an early/growth stage company
  • B2B experience
  • Data engineering and/or analytics engineering experience
  • ML experience

The cash compensation range for this role is $200,000 - $220,000.

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.
To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
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 is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Summary

JOB TYPE

Full Time

SALARY

$109k-135k (estimate)

POST DATE

07/14/2024

EXPIRATION DATE

07/27/2024

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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