Clue

Data Scientist

• Support the Science Team in evaluating and scoping research projects and research collaborations, support statistical analyses (including tracked health data, app usage data, survey data) and report writing.
• Support PR and marketing campaigns with health data insights to allow engaging storytelling and strengthen Clue’s content
• Extract, prepare, and transmit datasets for academic research projects, working in close collaboration with other teams such as the Data and Legal Teams to ensure analysis, sharing, and archiving of data follow data sharing policies and regulatory requirements
• Collaborate with the Product Team in conducting health-related data analyses as the foundation of data driven product features and conduct algorithm performance evaluations (including for post-market surveillance reports)
• Support research collaborators in working with Clue data, including providing advice on feasibility of research projects, analyzing Clue data, and reviewing project methods and manuscripts

Research Data Scientist – full-time

Performance Marketing

• Own creative strategy for paid user acquisition: Set the creative direction for Clue’s paid social growth, translating acquisition goals into clear creative angles, hypotheses, and testing priorities across platforms.
• Build and evolve a creative experimentation system: Design a structured, repeatable approach to creative testing and iteration, enabling fast learning, clear decision-making, and scalable wins across markets.
• Turn performance data into creative decisions: Work closely with Growth and Performance Marketing to interpret results and identify what drives impact.
• Lead creator- and UGC-driven performance formats: Define how creator content fits into a broader performance creative mix. Focus on micro-creators, nano-creators, UGC, and ambassador-style programs.
• Partner cross-functionally to ship trusted creative: Collaborate closely with Science, Legal, and Brand to ensure all creative, especially health-related and creator-led content, is compliant, evidence-based, and aligned with Clue’s values.
• Shape creative output from brief to execution: Write and review creative briefs and scripts, oversee concept development, and give clear, actionable feedback to creators, freelancers, and production partners to ensure quality and consistency.
• Be the platform expert for performance & creative: Develop deep knowledge of what works creatively on each channel, from Meta statics and video to TikTok-native storytelling, including how to navigate category restrictions and platform limitations.
• Systematise learning and creative production: Document insights, refine frameworks, and improve processes so creative production becomes faster, more informed, and easier to scale over time.
• Explore and test a wide range of formats, including non-creator approaches such as animation or data-led storytelling.

Senior UA Manager – Paid Social, Creative

Machine Learning Engineer

• Design, develop, and maintain science-based machine learning models for use cases involving longitudinal and sparse data
• Apply scientific reasoning to model design and validation, ensuring modelling assumptions, limitations, and outputs align with current scientific understanding
• Work with cycle tracking data, biometric signals, and other health-related data sources to build and evaluate robust models
• Translate scientific and research insights into production-ready ML systems in close collaboration with the Science team
• Own the end-to-end ML lifecycle, including training, evaluation, validation, deployment, monitoring, and iteration in production
• Define and evolve ML operational practices to ensure models are reliable, observable, reproducible, and maintainable over time
• Ensure the availability and quality of data inputs, testing datasets, and evaluation pipelines in collaboration with data and engineering teams
• Integrate health-specific ML models with other AI components
• Ensure ML systems are developed and operated in line with privacy, security, and regulatory expectations (e.g. GDPR, EU AI Act)

Senior ML Engineer

Account Manager

• Collaborate closely with Partnership and Growth teams to translate commercial agreements and initiatives into scalable requirements and integration solutions.
• Advocate for a goal-oriented approach to prioritization.
• Drive alignment across partner needs, technical feasibility, and company goals.
• Become a proactive cross-functional partner with Science and Analytics to shape, ship, and iterate on features that accelerate business growth.
• Share responsibility for integration governance and quality across privacy, payments, and attribution.
• Address partner and internal integration questions with responsiveness and expertise.

Research Data Scientist – full-time

Senior UA Manager – Paid Social, Creative

Senior ML Engineer

Senior Product Manager, Commercial Partnerships and Growth