Senior Data Scientist, Trust

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Senior Data Scientist, Trust

Los Angeles, CA • Melbourne, VIC • Sydney, NSW • San Francisco, CA

Engineering

Remote • Hybrid

Full-time

The Role

As a Senior Data Scientist on Linktree’s Trust team, you will play a key role in protecting the integrity and health of our platform. You will apply your expertise in data science and statistical modeling to define how we measure harm, assess platform risk, and continuously improve our detection and mitigation systems.

In this role, you will build and scale the core measurement framework that underpins Trust at Linktree, establishing clear, defensible definitions of harm prevalence, enforcement effectiveness, and user impact. You will partner closely with Engineering, Product, Policy, Legal, and Operations to identify emerging abuse patterns, size their impact, and ensure our mitigation systems are effective and aligned with our risk tolerance.

You will also play a central role in evaluating and strengthening our ML and LLM-based safety systems. This includes defining high-quality ground truth datasets, establishing statistically sound evaluation benchmarks, and implementing monitoring frameworks to ensure model quality and reliability in production. In partnership with Engineering, you will identify failure modes, improve detection quality, and build monitoring frameworks that keep our systems effective as abuse patterns evolve.

Your work will directly shape how Linktree understands and prioritize platform risk and measures the effectiveness of its trust and safety investments.

What You’ll Own

• Define and operationalize the core Trust metric frameworks that anchors company-wide north star goals and cross-functional team performance
• Refine and validate the scoring model used to assess Linktree quality and risk, ensuring heuristic logic is measurable, calibrated, and aligned with policy standards
• Build and maintain production-grade datasets and dashboards that provide reliable visibility into platform risk and system performance
• Identify and size emerging abuse patterns through deep-dive analysis, and translate findings into clear product, policy, operations and engineering priorities
• Partner with Engineering to define evaluation frameworks for ML detection and LLM-based safety systems, including ground truth design and performance benchmarking
• Monitor model health in production (e.g., precision, recall, calibration, drift) and proactively surface degradation, bias, or failure model
• Support Trust incident response through rapid analysis, impact sizing, and postmortem insights that drive durable improvements
• Communicate risk trends and model performance insights through clear visualizations and executive-ready narratives

What You'll Bring

• 5+ years as a Data Scientist in a product-driven technology company

• Direct experience in Trust & Safety, Integrity, Fraud, Security, or other risk-focused domains

• Proven ability to define and operationalize metric frameworks (e.g., Prevalence, Recall, and False Positive Rates) to evaluate the effectiveness of product, policy, or ML-driven interventions

• Experience evaluating machine learning models, including offline methodology, performance tradeoffs (precision/recall, calibration), and production monitoring

• Advanced SQL proficiency and fluency in Python (or R) for advanced analytics and modeling

• Strong foundation in statistics, experimentation design, and causal inference

• Experience working within mature data platforms and analytics engineering stacks (e.g., DBT, Dagster, Airflow)

• Experience designing intuitive, decision-oriented dashboards and compelling data visualizations using tools such as Hex, Looker, Tableau, or PowerBI

• Excellent communication skills with the ability to translate complex statistical findings and risk tradeoffs into clear recommendations for cross-functional stakeholders

• Bachelor’s Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Economics, or related); an advanced degree (MS/PhD) is a strong plus.

• Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. 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.

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