Note: The job is a remote job and is open to candidates in USA. Linktree is seeking a hands-on Head of Data Science to lead its data science and analytics organization from strategy through delivery and operations. The role sets company-wide direction for analytics, experimentation, and applied ML/AI while contributing technically, partnering across functions, and building and mentoring the team.
Responsibilities
- Define and drive the company-wide data science strategy — spanning analytics, experimentation, and applied ML/AI — end-to-end, from how raw data is collected until it’s used in user-facing features or for internal decision making
- Ensure teams at Linktree have the capabilities to make sound data-driven decisions and build the platforms and frameworks to hold teams accountable to high standards in decision making
- Build the data science foundations behind financial forecasting, and the frameworks that hold teams accountable for hitting company targets
- Advance Linktree’s transformation into an insights- and AI-powered product with a clear, differentiated value proposition for our users
- Make critical decisions on modeling approaches, experimentation infrastructure, and ML/AI systems design, ensuring they are scalable, rigorous, and production-ready
- Contribute to major technical components, critical feature-launches, etc. and occasionally contribute insights deep dives
- Being involved in solution design for high-complexity or high-risk data or AI investments to maintain technical quality and help unblock teams
- Lead or participate in technical deep-dives, especially for cross-team initiatives or for when the design has broad implications
- Collaborate with Engineering, Product, and Design to deeply integrate the right data capabilities into teams, ensuring data and AI are core to how we build
- Represent Data to the executive team, surface key insights, communicate technical tradeoffs, risks, and timelines in terms non-tech stakeholders understand
- Collaborate on budget, resource allocation, technology investment decisions
- Evangelize data science and AI practices both internally and externally through thought leadership like conference speaking
- Build, grow, and mentor senior leaders, both as managers and ICs. Ensure strong leadership across your team
- Recruit and retain top data talent, help define hiring strategy, interviewing, and onboarding
- Ensure our teams leverage data to its full potential to make sound data-driven decisions and foster a culture of learning, decision quality, ownership, psychological safety, and accountability
- Lead adoption of AI-driven tools to drive productivity and ensure we’re on the forefront of modern engineering and product building workflows
- Establish best practices across the entire data lifecycle (instrumentation, data engineering, insights, experimentation, ML and AI validation) and the frameworks to hold teams accountable to these practices
- Maintain effectiveness and reliability of AI and user-facing insights solutions by establishing monitoring, alerting and remediation processes
- Continuously partner with Product and Engineering to evaluate and evolve the cross-functional product org structure to match the company’s growth, ensuring clarity of ownership, effective collaboration, and decision-making velocity
Skills
- 12+ years in data science, applied ML, or analytics, with at least 5+ years leading managers or directors in growing, fast-paced environments
- Track record of designing and launching large scale user-facing data or AI driven product capabilities with measurable impact
- Track record of transforming organisational culture to become data driven, including self-service insights and experimentation
- Deep technical expertise in data science, statistical modeling, and applied ML/AI, with working fluency in the data engineering and platform concepts needed to partner effectively with engineering
- Proven track record of direct contributions at technical level, even as leader
- Excellent leadership, mentoring, and people-management skills; ability to recruit and retain strong talent
- Strong collaboration, communication, ability to simplify & explain technical issues to executives and cross-functional teams
- Experience scaling teams across multiple geographies
- Prior experience in Saas / Consumer tech
Benefits
- 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.
- Fully remote or a hybrid mix of office and home.
- Autonomy in how you structure your days and weeks.
Company Overview
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