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 - $270,000
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
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
