Note: The job is a remote job and is open to candidates in USA. Linktree is hiring a Senior Data Scientist for its Core Product Analytics team. The role defines product metrics, designs and evaluates experiments, and analyzes growth, retention, and monetisation to guide product decisions. It also builds trusted datasets and models and establishes analytical standards across the company.

Responsibilities

• 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

Skills

• 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

Benefits

• Fully remote or a hybrid mix of office and home.
• Autonomy in how you structure your days and weeks.
• 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.

Company Overview

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