Staff Data Scientist

Join Linktree as a Staff Data Scientist and help shape the future of digital connection. In this role, you’ll design and evaluate growth experiments, uncover user insights, and drive revenue-impacting data initiatives for tens of millions of users worldwide. As a Staff Data Scientist, you’ll apply your analytical expertise to guide product decisions, mentor team members, and empower creators, brands, and businesses to grow their digital presence. If you’re passionate about building data-driven strategies that make a global impact, this is your opportunity to thrive.

The Role
As a Staff Data Scientist, you’ll play a key role in Linktree’s Core Product Analytics team. You’ll plan, execute, and analyze experiments that shape product direction and drive SaaS growth. You’ll collaborate closely with engineers, product managers, and designers to test hypotheses and refine features that empower users to expand their digital universes. Your work will combine rigorous statistical methods with creativity and speed, helping Linktree continuously learn, adapt, and grow.

Key Responsibilities

• Design, implement, and analyze experiments that drive growth and improve user engagement.

• Build datasets to measure key product metrics and user behaviors.

• Apply statistical and machine learning methods to extract actionable insights.

• Collaborate with product and engineering teams to align experimentation with business goals.

• Mentor junior Data Scientists, sharing best practices and advancing team excellence.

• Develop monitoring tools for key performance indicators and ensure data accuracy.

• Stay current with emerging data science methodologies to keep Linktree ahead of industry trends.

• Promote experimentation best practices across the organization.

Who You Are

• 6+ years of experience as a Data Scientist in a product-led, fast-paced SaaS environment.

• Proven record of designing and evaluating experiments that improve B2C revenue metrics (subscriptions, conversion, pricing, churn).

• Hands-on experience using data to inform product and growth decisions.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Physics, or related field (Master’s or PhD a plus).

• Skilled in hypothesis testing, statistical modeling, and experiment design.

• Thrive in agile product environments using “build-measure-learn” approaches.

• Comfortable working hybrid—3 days in our LA or SF office and 2 days from home.

Compensation and Benefits

• Base salary: $200,000–$235,000 (depending on location and experience).

• Comprehensive benefits including full coverage for medical, dental, and vision insurance (for you, 80% for dependents).

• Employer retirement contributions and stock options.

• Annual wellbeing allowance for fitness, education, travel, or charitable donations.

• Generous paid time off for vacations, holidays, parental leave, and volunteer work.

• Hybrid work setup for flexibility and work-life balance.

Our Story
Linktree created the “link in bio” category and continues to redefine how creators, artists, entrepreneurs, and brands connect with their audiences. With over 70 million users and partners like TikTok, Spotify, Google, and Nike, Linktree is the fastest-growing leader in digital identity and creator tools. Every day, 48,000 new accounts join our community, expanding a global network that celebrates individuality, creativity, and connection.

Our Culture and Work Environment
At Linktree, we believe in autonomy, flexibility, and collaboration. Our hybrid teams work across time zones from offices in London, Los Angeles, Melbourne, and San Francisco. We embrace asynchronous work and family-friendly policies where creativity thrives. Diversity, inclusion, and belonging are at the heart of everything we do.

Why You’ll Love Working at Linktree

• Join a mission-driven company empowering people to curate and monetize their digital world.

• Collaborate with passionate, data-savvy professionals who value innovation.

• Enjoy a culture that celebrates balance, creativity, and authenticity.

• Thrive in a supportive environment with opportunities to grow and lead.