Data Lead

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London
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Full-Time

Location: Passionfruit HQ, Farringdon. WFH on Mondays & Fridays, in-office on Tuesdays,Wednesdays & Thursdays

About Passionfruit

Passionfruit aims to create a robust and genuine alternative to full-time work. As the world'sfastest-growing marketing freelancer platform, we’ve raised Series A funding from top VCs inEurope and the US. We partner with startups, scale-ups, and global brands like PepsiCo, Mars,and Speedo to revolutionise how businesses manage their talent.

Our Mission

We are dedicated to making freelance careers sustainable and rewarding for everyone. Ourplatform connects businesses with agile, specialised freelance marketing talent, offering a moreefficient and impactful way to manage teams

Who You Are

  • Passionate about building a sustainable alternative to traditional full-time work forfreelancers globally
  • Thrive under pressure and are driven by targets and accountability
  • Focused on getting things done efficiently and effectivel
  • Resilient, resourceful, and adaptable to change.
  • A fast learner with strong curiosity and sheer horsepower to get things done
  • Able to constructively disagree while maintaining progress.

About The Role

As the Data Lead, your primary mission is to develop and operationalise a data strategy thataccelerates Passionfruit’s journey to becoming a data-first company. This role focuses onsetting up the foundations to deliver on our product ambitions by understanding our businessgoals and collaborating closely with engineers.

Key Responsibilities

  1. Develop and Execute Data Strategy: Create and implement a comprehensive data strategy aligned with Passionfruit’svision of becoming a data-first organisation.
  2. Database and Architecture Enhancement: Assess our current database to understand its capabilities and limitations
  3. User-Facing Data Features: Design and build dashboards and tools that enhance the user experience byleveraging proprietary data.
  4. Operational Efficiency: Improve internal processes through data-driven decision-making and operationalenhancements.
  5. Strategic Insight and Communication: Align data architecture with business objectives and effectively communicatedata insights to stakeholders across various levels of technical expertise.

Ideal Skillset and Qualifications

  • 5-8+ years of data science experience (predictive modelling, optimisation).
  • Proficiency in Python and advanced SQL techniques.
  • Experience with version control (e.g., GitHub) and cloud environments (e.g., AWS).
  • Strong analytical, creative, and collaborative skills.
  • Ability to work in a fast-paced team environment.

Desirable

  • Marketplace / marketing experience
  • Experience building high quality 0-1 products
  • Experience launching productionised machine learning models at scale.
  • Exposure to functional languages like Go, Rust, Haskell, or Clojure.
  • Familiarity with Phoenix Framework, Phoenix LiveView, Surface UI, TailwindCSS, Oban,PostgreSQL, and WebRTC.
  • Knowledge of feature flags and machine learning concepts.
  • Engineering Experience

Please reach out to CEO / co-founder Raffi Salama (raffi@usepassionfruit.com) if interested.