Data Science Manager

• Lead and grow the data science team across product, marketing, performance, and other areas
• Report to the Head of Data
• Own team output across verticals and shape and prioritize the data science roadmap
• Translate stakeholder needs into team priorities and communicate trade-offs and results to non-technical audiences
• Review modelling approaches, experimental design, and causal inference work
• Pair, deliver, or course-correct directly when coverage or quality requires it
• Hire, coach, and grow data scientists
• Run the hiring loop and lead 1:1s
• Partner with the Head of Data on performance, compensation, and career development
• Drive rigorous A/B testing, quasi-experimental methods, and causal thinking across product and performance tracks

• Hands-on data science background with a track record of delivering models, experiments, or analyses used by other teams
• Demonstrated depth in at least one domain: Recommendation Systems, Experimental Design and Causal Inference, Customer Segmentation, Churn Prediction, Fraud/Anomaly Detection, or CRM analytics
• Strong command of statistical methods, supervised and unsupervised machine learning, and causal inference
• Evidence of leading others as a tech lead, mentor, or hiring interviewer
• Proficiency in Python and SQL
• Ability to provide precise technical feedback and communicate clearly with senior non-technical stakeholders
• Familiarity with AWS, GCP, or Azure is a nice-to-have
• Educational path is not a barrier to joining the company

• Performance-oriented environment emphasizing accountability, transparency, and progress
• Equal-opportunity workplace committed to diversity, inclusion, and employee contribution
• Career development and compensation partnership with the Head of Data (role-related offering)