Senior Data Scientist

Linktree • San Francisco, CA

7d • Hybrid

About The Position

As a Senior Data Scientist on Linktree's Core Product Analytics team, you will help the company understand its product and decide what to build next. You will analyze activity from Linktree's large user and visitor base, partnering with Product, Engineering, Design, and Marketing to define important metrics, design and interpret experiments, and investigate questions related to growth, retention, and monetisation. You will use both quick directional tests and formal hypothesis testing in lean build-measure-learn cycles.

As Linktree brings core data analysis together under one team, you will help establish standards for measurement, experimentation, and reporting. The role is hands-on across the modern data stack, including building datasets and models. Your work will support Linktree's mission to empower anyone to curate and grow their digital universe.

Requirements

• At least 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 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 pipelines and datasets.
• Experience with modern data stacks such as dbt, Dagster or Airflow, and Snowflake or BigQuery, as well as BI tools such as Hex or Looker.
• A track record of defining product metrics and using data to change product decisions, with demonstrable impact.
• Ability to work in ambiguity, scope problems independently, maintain a clear point of view with senior stakeholders, and change course when data indicates.
• Excellent communication skills and ability to turn complex findings into clear recommendations for any audience.
• Bachelor's degree in mathematics, statistics, economics, computer science, or a related field.

Nice To Haves

• Master's or Ph.D. degree.

Responsibilities

• Define, own, and evolve core product metrics and metric trees across acquisition, activation, engagement, retention, and monetisation.
• Design, run, and evaluate A/B tests and quasi-experiments across the core product, translating results into ship, iterate, or kill recommendations.
• Lead deep-dive analyses of growth, retention, and revenue questions, surfacing opportunities and risks.
• Build and own trusted datasets, dbt models, and dashboards that provide squads with reliable, self-serve visibility into product performance.
• Partner with product managers and engineering leads on roadmap prioritisation, opportunity sizing, and success criteria for launches.
• Set and champion standards for experimentation, metric definitions, and analytical rigour across the company, and mentor others in applying them.
• Communicate insights to product leadership and the executive team through clear, decision-ready narratives.

Benefits

• Annual wellbeing allowance that may be used for items such as fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, or home office setup.
• For US-based employees, 100% coverage of monthly medical, dental, vision, disability, and life insurance premiums, and 80% coverage for dependents.
• Employer contribution toward retirement.
• Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
• Employee stock option program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior