Lead Data Scientist - Pricing

Position:  Lead Data Scientist - PricingFull Time

Ready for a challenge? 

About this role

The Revenue Management & Pricing team owns the consumer pricing agenda globally at JET, ensuring development of business-critical ML capabilities and features, and ultimately delivering on revenue and growth targets to our business. We design prices to align both customers and partners interests while maximising on the value created by our marketplace.

Reporting to our Global Head of Data Science (Pricing & Marketing), we are seeking a highly skilled Lead Data Scientist to join our team to deliver all the aspects of our consumer pricing strategy, including experimentation, data analysis and pricing optimization.

These are some of the key components to the position: 

• Commercial excellence: to develop and implement market leading pricing strategies that optimise growth and margin across the countries where we operate. Recommend commercial strategies, tactics and guidelines, collaborate with local markets senior stakeholders to agree on optimal approach.

• Pricing modelling, experimentation and execution: capture data, develop ML models and tools and apply statistical modelling to determine the impact of our pricing actions. Run experiments in a commercial environment which require lateral thinking and deep statistical understanding. 

• MLE partnership: partner closely with Machine Learning Engineers, who own the deployment and scaling processes, to transition robust pricing model designs and thoroughly documented algorithmic logic for production implementation.

• Insights generation and analysis: guide commercial stakeholders in deep-dive analysis of large-scale customer data to translate findings into actionable pricing recommendations and tools. Conduct ad-hoc analyses requested by senior management and key stakeholders to support strategic decision-making processes.

• Leadership & innovation: take full ownership of complex data science projects from the initial what if question to final delivery. Proactively identify opportunities within consumer pricing and our logistics operations where machine learning and pricing optimization can drive growth, cost-savings and logistics network efficiency.

What will you bring to the team?

• Strong knowledge of underlying mathematical foundations of statistics, exploratory analysis, economics in the ecommerce domain and analytics (prescriptive and predictive), testing and modelling. Experience in Bayesian modelling is not essential but highly desirable.

• Experience developing, testing, deploying, and maintaining machine learning models in a corporate environment.

• Strong knowledge of experiment design & setup with the ability to define business goals,  identify variables (price points, pricing structures, segmentation, etc.), choose experiment methodology and plan implementation.

• Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.

• An analytical problem solver who values simplicity, brings clarity to ambiguous questions, and communicates complex insights effectively to any audience.

• Exceptional attention to detail and proactive mindset with a continuous improvement approach, constantly seeking ways to enhance our pricing capabilities and tools. 

• Bachelor or Master's degree in Data Science, Computer Science, Statistics or a related quantitative field.

At JET, this is on the menu: 

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. 

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

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