Data Scientist

Hi, we're The Browser Company 👋 and we're building a better way to use the internet.

Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious.

To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens.

With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.

As a Data Scientist, you’ll ensure that our small but mighty product development team has the information they need to focus on the highest-impact work and iterate quickly.

The Data Team works in a wide range of areas, including logging code and abstractions, data pipelines, internal tools, product analytics, company prioritization, and growth forecasting. We value a multidisciplinary attitude and want team members who are excited to dive into whatever needs to get done — including tasks that would traditionally fall under a data science, software engineering, product management, or growth team.

Overall you will...

• Work with engineers and designers on the product to prioritize work and learn rapidly

• Identify the fastest ways to learn from data to inform product development

• Pair with engineers to ensure analytics logging is correct

• Define metrics used for prioritization across the company

• Build and maintain our data infrastructure and tools

Within 1 month you will...

• Get onboarded onto the team with an onboarding buddy

• Attend a number of onboarding presentation on how we give each other feedback, the phases a startup goes through, our technical strategy, and more

• Get familiar with the tools in our data stack, both within our codebase, and third-party tools such as Segment, dbt, BigQuery, and Mode

• Embed with a product development team and get up to speed on our product development process

• Build confidence in creating dashboards and pulling data to answer relevant product questions

Within 3 months you will...

• Be involved in product discussions, asking the right questions and surfacing the relevant data to make sure the team is working on the most impactful things

• Help your product team evaluate their feature launches so that they can learn and iterate on where development time should be dedicated

• Be involved in data team discussions about our use of data across the company and how to uphold our standards

• Help maintain our data infrastructure and tools

• Regularly post feedback about using Arc in our #dogfooding channel

Within 6 months you will...

• Be a subject matter expert on experimentation, metric creation, and launch evaluation for product development teams

• Be familiar with our app architecture and deployment process, so that you can communicate with engineers about the product development lifecycle

• Develop company-wide guidelines and documentation for how to use data tools

• Propose and implement improvements to our data infrastructure and tools

• Be trained and interviewing new teammates for roles at the Browser Company

• You have 4+ years of industry experience in the data field

• You have robust experience with writing SQL and Python or R

• You can read and navigate a production codebase when necessary to debug or make adjustments to logging

• You’ve partnered closely with product teams and understand when to bring data in to inform product decisions

• You can apply advanced statistical methods when rigorous in-depth analyses are called for, but also recognize when simple or scrappy data is sufficient to point us in the right direction

• You’re familiar with end-to-end data engineering stacks with deeper expertise in one or more areas (such as logging, pipelines, data models, documentation and education, or dashboards and internal tools)

• You are user-focused: you’re curious about user behavior, eager for qualitative and quantitative feedback, and prioritize creating meaningful experiences for our members

• You're excited to work in a fast-paced startup environment, and you embrace testing and learning quickly to refine the product and internal processes alike

With our flexible compensation model, employees have the ability to design their compensation according to their needs. People join startups for different reasons and we want to be accommodating and flexible to everyone’s lives. Every candidate approved for an offer receives two options:

✉️ The first offer is a lower salary with a higher equity package

✉️ The second is a higher salary with a lower equity package.

Candidates can choose either option or anywhere in between the two on a sliding scale. The annual salary range for this role is $150,000-$300,000 USD, and the actual salary range offered will vary based on experience level and interview performance.

🧘🏻‍♀️ In addition to a competitive salary and equity package, we provide every employee with the following benefits:

• comprehensive benefits package, with employee medical, dental, and vision premiums covered at 100%

• 401k plan

• flexible vacation policy: on average, our team members take between 15-20 vacation days plus federal holidays (holidays vary by location)

• 12 weeks of paid parental leave

• $1,500 USD home office stipend

• Employees based in the US also receive free annual memberships to One Medical, Talkspace, Teladoc, and HealthAdvocate

The Browser Company is a well-funded, ambitious startup of about 70 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work in office in New York. We strongly support diversity and encourage people from all backgrounds to apply. 

🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog.