Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data-based decisions. Driving data science strategy and analytics to enhance product and growth insights.
Responsibilities
Map Tilt’s business model, data ecosystem, and analytical gaps
Define and begin executing the data science roadmap aligned with company priorities
Build high-impact analytics for Marketing, Creator, and Category teams that deliver immediate value
Establish data quality standards, governance, and best practices across all functions
Embed fast, scientific decision-making into the company by partnering with senior leadership
Own and evolve Tilt’s entire data science, modelling, and analytics strategy
Lead frameworks for marketing efficiency, attribution, and smart budget allocation
Design, build, and maintain predictive models that support category expansion, retention, creator performance, and growth
Develop and operationalise causal inference, experimentation, and incrementality testing systems
Establish a company-wide culture of experimentation and rigorous measurement
Represent data science in leadership and board-level discussions
Requirements
Exceptional analytical and technical ability with a track record of high-impact work in full-stack data science or analytics
Proven experience building and leading high-performing data science teams
Deep expertise in experimentation, statistical modelling, causal inference, and translating complex outputs into clear strategy
Strong engineering ability across the data stack, comfortable owning systems end-to-end
High bias for action and speed, with excellent product and business intuition
Experience in fast-paced, high-autonomy startup environments, ideally from seed to Series B
First-principles thinker with strong problem-solving instincts
Nice to Have: Experience supporting marketing, growth, or commercial teams
Benefits
29 days off, plus UK bank holidays
Your birthday off, no questions asked
Share options to become a true stakeholder in our success.
3% pension contribution from Month 2 (auto-enrolment)
MacBook and tech budget to get you set up your way
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high - stakes environments.
Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.