Data Science Manager

We’re seeking a Data Science Manager for our Data Science team. This new team member will play a crucial role in developing data science solutions from conception to implementation as we continue to enhance the world of retail and make it more sustainable.

At Nextail, we empower retailers to create better experiences while using fewer of the world's resources. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans

Data Science at Nextail

The DS Team is part of the Product Team, our goal is to multiply the impact of our product on the business. Data Science Techniques, AI, ML, Optimisation, Simulation, and Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Engineers, and Business Experts to solve the end-to-end problem.

We are business-focused, we get into the skin of our customers, we learn to talk their language, and we feel their pain and their joy.

We believe in Data Ops, and Agile Data Science methodologies, in adding value fast, keeping things simple, and iterating to improve while the effort is worth it. Life is short, our time is gold, we automate, we prioritize, we ensure focus, and we carefully choose our objectives to be sure to achieve them.

Our job is not finished when the model and the end-to-end solution are in production, or after the change management and operational details are closed, not even when we have strong evidence that the solution is solving the user problem and she is satisfied because after that we continue monitoring our models. We are scientists and empiricists, we measure the impact on the business, and we progress with small steps, one at a time validating hypotheses at the lowest cost.

We are humble, we never know enough, we embrace uncertainty, and we are all the time learning from the wise and the data.

We listen carefully to the business experts, and our DS pairs and make sure we understand each other, we validate every assumption and hypothesis both with them and with the data, we are always thirsty for feedback and validation.

Discussion between pairs, working together, …