Perplexity Logo

Perplexity

Data Scientist - Growth Marketing - SF

Posted Yesterday
7 Locations
Mid level
7 Locations
Mid level
The Data Scientist will optimize growth marketing strategies using data-driven insights, analyzing campaigns and performance, and developing data models.
The summary above was generated by AI

We are hiring for an experienced Data Scientist to accelerate our growth marketing efforts and help Perplexity expend its reach globally. You’ll work closely with our Growth, Marketing, Product, Enterprise and Partnership functions, using data-driven insights to optimize marketing strategies across paid acquisition, social media, brand initiatives, promotional campaigns, and consumer partnerships.

This role offers the chance to significantly influence how our marketing strategies evolve and scale in a dynamic startup environment.

Responsibilities

  • Collaborate closely with Growth, Marketing, Product Marketing, and Enterprise Growth teams to provide data-driven insights and recommendations
  • Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization and growth
  • Conduct analysis on social media performance and marketing spend to maximize reach, engagement and effectiveness
  • Lead lightweight user research and apply insights to refine market targeting and user segmentation strategies
  • Design, implement, and interpret A/B tests to continuously enhance marketing performance and effectiveness
  • Define, implement, and visualize key marketing metrics, creating dashboards to track and communicate marketing effectiveness and ROI
  • Develop data models and pipelines to improve analytics efficiency and data accessibility

Qualifications

  • Have 4+ years of experience working as a data scientist or related role
  • Have experience with the following areas: product marketing, paid acquisition, SEO, social and/or lifecycle marketing
  • Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker)
  • Have experience designing, implementing, and analyzing A/B tests
  • Take ownership and are a self-started who thrives with open-ended problems
  • Have experience with data modeling (e.g., dbt, Airflow)

Preferred Qualifications

  • Previous experience at a high-growth startup or early-stage growth/marketing data science role
  • Hands on-experience with dbt and data engineering/analytics engineering
  • Experience with Snowflake
  • Comfortable with Python for data analysis
  • Machine learning experience

The cash compensation range for this role is $200,000 - $250,000

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

 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.

 

 

Top Skills

Airflow
Bi Tools
Dbt
Hex
Looker
Mode
Omni
Python
Snowflake
SQL

Similar Jobs

An Hour Ago
Remote
Hybrid
12 Locations
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.
2 Hours Ago
Remote
Hybrid
7 Locations
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will lead MLOps efforts, design services, integrate data streams, and improve ML tooling for detecting financial crimes.
Top Skills: Machine LearningMlopsPythonSoftware EngineeringStatistical Analysis
3 Hours Ago
Easy Apply
Hybrid
7 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech
Manage enterprise data models, integrate clinical data, author documentation, monitor data quality, and collaborate on modeling priorities in healthcare data.
Top Skills: BigQueryDbtGCPPythonSQL

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account