Data Scientist

⭐ About daydream

daydream builds growth marketing playbooks for the world’s fastest growing companies.

Note: This role requires candidates to be in-person, in-office 3 days per week in our Hayes Valley, San Francisco office.

We believe the future of growth marketing is one where companies pay for outcomes, rather than tools. Today, we leverage a combination of AI-enabled services + software to execute SEO growth playbooks for companies like Clay, Descript, and Beacons and dozens of others. In the future, we'll expand our capabilities across the entire growth marketing stack, encompassing all essential customer acquisition channels.

We've raised $6.2M from leading investors like First Round Capital, Basis Set Ventures, WndrCo, SOMA Capital and current and former Heads of Growth at companies like Notion, Airtable, Webflow and Dropbox as well as notable angels like Lenny Rachitsky and Eli Schwartz, Author of Product-Led SEO.

🔧 The problem we’re trying to solve

Every company needs to do two things:

1. Build a product.

2. Acquire customers.

There are three ways to acquire customers — sales, product-led growth, and growth marketing. Of these three, growth marketing is particularly hard to staff for because great internal talent is find (ex. in SEO, there are probably < 20 people who we would consider world-class), and time-consuming to ramp.

Then there’s the agencies, but agencies are often slow, lack strong technical talent, and in general are associated with poor quality of outcomes.

🧑‍💻 How we’re solving this problem

daydream is different — we’ve built a vertically integrated software + services stack with a singular goal in mind — deliver outstanding outcomes for every customer we service, repeatedly and consistently in a fraction of the time they expect. While we’ve started with SEO, we expect to expand to all other major growth marketing channels over the near future.

🤝 The people you’ll be working with

• Shravan (CTO): Shravan was previously an Engineering Lead at Flixed. Before that, Shravan worked as a Software Engineer at Facebook for three years, where he worked on mass-scale web scraping for Facebooks’ Jobs product, and Meta Reality Labs.

• Vishruth (Founding Applied AI Engineer): Prior to joining Daydream, he worked as a Data Scientist at Klaviyo, specializing in NLP. Before that, he was at Cornell working on research projects with companies such as Home Depot and CVS Health.

• Tom (Founding Designer): Prior to joining daydream, Tom led the design of innovative products at Blockless, delivering refined user and developer experience in decentralized computing. Occasionally, Tom also does some UI engineering.

• Pedro (Founding Backend Engineer): Previously a Tech Lead at Relativity, Pedro developed distributed automated workflows using Azure, Logic Apps, Durable Functions, and Event-Driven Architecture. In his spare time, he dabbles in C++ and game development.

🥞 Our stack

• Python

• TypeScript (T3 based)

• C# (.NET 9)

• Postgres

• Google Cloud

• LLMs (GPT, Claude, Gemini)

👷🏻‍♀️ What You’ll Be Doing Here

As a Data Scientist at Daydream, you'll play a pivotal role in developing data-driven solutions that power our growth marketing strategies. Your responsibilities will include:

• Data Analysis & Modeling: Analyze large, complex datasets to extract insights, build predictive models, and guide decision-making across product and growth initiatives.

• Experimentation: Design and run experiments to test hypotheses related to content indexing, search ranking, and user engagement—particularly in the context of local and semantic search.

• Search Behavior Research: Lead original research on the intersection of geographic signals and search engine behavior. Explore link structures, NLU techniques, and entity resolution to enhance discovery of place-based content.

• Collaboration: Partner cross-functionally with engineers, designers, and growth leads to embed data science capabilities into product features and SEO strategies.

• Thought Leadership: Stay current on developments in search, SEO, and GEO. Share learnings internally and, where appropriate, externally through presentations, papers, or talks.

✅ You’ll be an excellent fit if you

• Have a strong background in statistics, machine learning, or data analysis.

• Possess experience with programming languages such as Python or R.

• Are proficient in data visualization tools and techniques.

• Enjoy working in a fast-paced startup environment and are adaptable to changing priorities.

• Have excellent communication skills and can convey complex data insights to non-technical stakeholders.

🏦 Compensation

The compensation for this role is $180k - $220K base salary with generous equity in daydream.

For applicants outside of the San Francisco Bay Area, we are offering paid relocation.