Senior Data Scientist
San Francisco, CA
- Pay
$147,000–182,000/year · BaseAnnual period assumed · Location-specific pay — pay source
Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus) Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDefine and evolve core product metrics and the metric trees behind them
Design, run and evaluate A/B tests and quasi-experiments with ship/iterate/kill calls
Lead deep-dive analyses on growth, retention and revenue questions
Build and own dbt models, datasets and dashboards for self-serve product reporting
Partner with PMs and engineering leads on prioritisation and launch success criteria
From the employer’s posting
Define, own and evolve Linktree's core product metrics and the metric trees behind them
Design, run and evaluate A/B tests and quasi-experiments across the core product, and turn the results into clear ship, iterate or kill recommendations
Lead deep-dive analyses on growth, retention and revenue questions
Build and own trusted datasets, dbt models and dashboards that give squads reliable, self-serve visibility into product performance
Partner with PMs and engineering leads on roadmap prioritisation, opportunity sizing and success criteria for new launches
Education & alternatives
- Excellent communicator who can turn complex findings into clear recommendations for any audience - Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus) Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed.
Tools in this posting
- Python
- R
- SQL
- BigQuery
- dbt
- Looker
- Snowflake
- Airflow
- Dagster
Source — Tool mentions in context
- Hands-on experience running a wide range of experiments, from quick-and-scrappy tests to formal hypothesis tests, with a strong grounding in statistics, power analysis and causal inference - Advanced SQL and fluency in Python (or R) for analysis and modelling; comfortable building your own pipelines and datasets - Experience with modern data stacks (e.g. dbt, Dagster/Airflow, Snowflake/BigQuery) and BI tools such as Hex or Looker
- Advanced SQL and fluency in Python (or R) for analysis and modelling; comfortable building your own pipelines and datasets - Experience with modern data stacks (e.g. dbt, Dagster/Airflow, Snowflake/BigQuery) and BI tools such as Hex or Looker - A track record of defining product metrics and using data to change product decisions, with impact you can point to
- Lead deep-dive analyses on growth, retention and revenue questions, proactively surfacing opportunities and risks that aren't yet on the roadmap - Build and own trusted datasets, dbt models and dashboards that give squads reliable, self-serve visibility into product performance - Partner with PMs and engineering leads on roadmap prioritisation, opportunity sizing and success criteria for new launches
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 2
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.gem.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
The Role
As a Senior Data Scientist on Linktree's Core Product Analytics team, you'll be at the centre of how we understand our product and decide what to build next. With 70+ million people using Linktree to connect with their audiences, and billions of visitors clicking through each year, you'll turn that activity into clear answers on what's working, what isn't, and where we should invest.
You'll partner closely with Product, Engineering, Design and Marketing to define the metrics that matter, design and read the experiments behind our biggest launches, and dig into the growth, retention and monetisation questions that shape our roadmap. You'll design smart, scrappy tests that give us directional signal fast, and run more formal hypothesis tests when the stakes are high, always working in lean build-measure-learn cycles.
As we bring core data analysis together under one team, you'll help set the standards for how Linktree measures, tests and reports. You'll stay hands-on across our modern data stack, building the datasets and models you need rather than waiting for someone else to. Most of all, your work will help Linktree achieve our mission: to empower anyone to curate and grow their digital universe.
What You’ll Own
- Define, own and evolve Linktree's core product metrics and the metric trees behind them, from acquisition and activation through engagement, retention and monetisation
- Design, run and evaluate A/B tests and quasi-experiments across the core product, and turn the results into clear ship, iterate or kill recommendations
- Lead deep-dive analyses on growth, retention and revenue questions, proactively surfacing opportunities and risks that aren't yet on the roadmap
- Build and own trusted datasets, dbt models and dashboards that give squads reliable, self-serve visibility into product performance
- Partner with PMs and engineering leads on roadmap prioritisation, opportunity sizing and success criteria for new launches
- Set and champion standards for experimentation, metric definitions and analytical rigour across the company, and mentor others in using them
- Communicate insights to product leadership and the executive team in clear, decision-ready narratives
Who We're Looking For
- 4–5+ years of experience as a Data Scientist or Product Analyst in a high-growth, product-led technology company
- Hands-on experience running a wide range of experiments, from quick-and-scrappy tests to formal hypothesis tests, with a strong grounding in statistics, power analysis and causal inference
- Advanced SQL and fluency in Python (or R) for analysis and modelling; comfortable building your own pipelines and datasets
- Experience with modern data stacks (e.g. dbt, Dagster/Airflow, Snowflake/BigQuery) and BI tools such as Hex or Looker
- A track record of defining product metrics and using data to change product decisions, with impact you can point to
- Comfortable in ambiguity: you scope your own problems and can hold a clear point of view with senior stakeholders, and you change your mind when the data says so
- Excellent communicator who can turn complex findings into clear recommendations for any audience
- Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus)
Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed.
P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!
Our Story
We’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link.
Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space.
We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love.
We’re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we’d love to meet you.
Where and How We Work
We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home.
We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome.
How we’ll help you thrive
Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you:
- An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
- 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
- Employer contribution towards your retirement.
- Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
- Employee stock option program - we want each and every employee to share in the company’s success.
At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee – your needs are important to us.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus) Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!
- Location & working pattern
San Francisco, CA
- Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus) Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!
More source context
Where and How We Work We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.