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We’re looking to add an experienced ML/Data Engineer to our Data Science team. This new team member will be instrumental in leading and developing data science solutions from the idea to maturity as we continue to make the retail world a better, more sustainable place.

 

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.

 

Our team:

 

You will be part of Nextail's Data Science team. In the short/medium term, the team has the following main areas of focus:

 

• 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 Scientists, ML Engineers, Data Engineers, and Business Experts to solve the end-to-end problem.

• 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.

• Discussion between pairs, working together, and challenging each other, is the fastest way to solve a problem and grow as a Machine Learning Engineer. We have a culture of sharing, transparency, meritocracy, caring, and trusting each other.

The team is composed by:

 

• Ricardo Guerrero (Sr Machine Learning Engineer)
• Juan José Campaña (Machine Learning Engineer)
• Antonio Martínez (Machine Learning Engineer)
• Vlad Ustimenko (Machine Learning Engineer)

 

You will:

 

• You will participate in the development, deployment, and maintenance of the multiple Machine Learning models they are working with.

• You will help to instrument the different models that the squad creates, to collect metrics and usage statistics.

• You will implement mathematical algorithms or complex computations.

• You will influence the whole model production flow, and take part in its improvement process.

• You will encourage good technical practices in the squad.

• You will work closely with the Data Science team, helping in the design of their models to ensure they are scalable.

< class="h4">  < class="h4">We offer:

 

• A highly innovative and fast-paced environment. As in any startup, expect to find a team with an interesting mix of business profiles (without the slides), IT geeks, data scientists, and as a fashion tech startup, a few fashion victims.

• The satisfaction of delivering something new to the world that will have a strong impact both on retailers’ top line and on customer satisfaction. Contribute to the development of cutting-edge artificial intelligence & machine learning technologies that will build the next generation of retail systems.

• The opportunity to work with top client decision-makers in the fashion retail industry and sharpen your business reasoning and interpersonal skills. Learn from peers from top consulting firms and the best global business schools.

• High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.

• Remote and relationships first Nextail has been a remote first company since its beginnings. Yet we believe in the power of direct human interaction. Therefore teams gather in person on a quarterly basis and the Nextail house in the center of Madrid is open all year long to all Nextailers.Periodic company get-togethers to meet the rest of the team.

• International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 23 different nationalities. While many of us are multilingual, our working language is English.

• Diversity on all levels: United as a single team, we celebrate ersity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting and entrepreneurship.

• Performance allowance: To let people perform at their best, each Nextailer has an annual performance allowance of 1,000 EUR as well as 2 days off for professional development. You’ll be provided with a laptop of your choice so you can work with the tools that are most comfortable for you!

• Flexible compensation plan: We offer a fixed + variable salary as well as company equity.

• Comfortable working in high-performance computational environments (Apache Spark, Databricks).

• Theoretical and practical experience building pipelines for Data Science teams.

• Experience with model productization tools (API rest, AWS Sagemaker, Docker, etc).

• Experience developing and deploying scalable, high-quality code to production.

And remember, even if you don't have some of the requirements, don't hesitate to contact and tell us what you would like to bring to the team, we are always open for the right person 😀

 

*Nextail is an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

To all recruitment agencies: Nextail does not accept agency resumes. Please do not forward resumes to our jobs alias, Nextail employees or any other organization location. Nextail is not responsible for any fees related to unsolicited resumes.