Principal Data Scientist

Your role in the team

Our expectations of you

Qualifications

• Recommendation Architect: Expert practitioner in designing, building, and deploying large-scale, high-performance recommendation systems (e.g., two-tower, deep sequence models, Graph Neural Networks) for the B2B or marketplace domain.
• Sequential/Timeseries Specialist: Thought leader in using timeseries analysis and sequence modeling (e.g., LSTMs, transformers, advanced forecasting) for vendor behavior, next-best-action prediction, and demand forecasting.
• Causal Inference for Action: Proven ability to apply causal inference and advanced experimentation frameworks to quantify the true incremental impact of recommendations and vendor-facing product features.
• Take Rate Analysis: Deep expertise in the analytical frameworks and models required for optimizing key commercial metrics like take rate, vendor LTV, and churn prediction.
• Multi-Objective Optimization: Mastery in formulating and solving problems that balance potentially conflicting vendor KPIs - such as maximizing short-term revenue/take rate while maintaining vendor engagement and long-term retention/success.
• Probabilistic Modeling: Strong foundation in Bayesian methods and uncertainty quantification to provide reliable forecasts and confidence intervals around business-critical projections.
• Production Excellence: Deep operational knowledge of deploying these sophisticated models using Python frameworks like Keras, scikit-learn.
• The "Recommendation North Star": Proven ability to define a 2+ year technical roadmap for Vendor Recommendation Data Science, influencing the strategic direction of Product, Engineering, and Commercial leadership.
• Decision Science Mastery: A track record of translating complex ML/statistical findings into clear, actionable executive narratives (e.g., explaining the trade-offs of a new recommendation model to senior leadership).
• Force Multiplier: A history of mentoring Staff and Senior Data Scientists, raising the bar for scientific rigour and production ML excellence across the entire organisation.

Experience

• Algorithmic Decisioning: Deep experience in designing and deploying real-time decision-making algorithms that power "Next Best Action" systems and adapt to shifting vendor and market conditions.

What we offer