Nextail
AI

Data Scientist

Nextail · Madrid, MD, ES

Actively hiring Posted about 1 month ago

Role overview

We are seeking a Data Scientist with experience to join 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 by selling more with less inventory. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we are working with global retailers like River Island, Guess, Flying Tiger or Pepe Jeans.

Responsibilities

  • Developing Solutions: contributing to the development of data science solutions from idea to maturity, with a main focus on demand forecasting and optimization models.
  • Collaborating: Working closely with product managers, developers, data engineers, and business experts to solve end-to-end problems.
  • Applying Techniques: Utilizing data science techniques including ML, SQL, optimization, simulation, and visualization to address business challenges.
  • Learning and Growing: Embracing a culture of continuous learning and growth, staying up-to-date with the latest methodologies and best practices in data science.
  • Analyzing and Communicating: Analyzing and understanding complex data, extracting insights, and effectively communicating findings to stakeholders.
  • Supporting Operations: Monitoring models in production, measuring their impact on the business, and iterating to improve performance over time.

Basic qualifications

  • Experience: at least 3-4 years of experience working as a data scientist, or in a related field.
  • Education: Background in computer science or a related field.
  • Programming Skills: Proficiency in programming languages, Python is a must. Solid understanding of software engineering best practices, including GIT and CI/CD.
  • Technologies: Familiarity with tools such as Notebooks, Databricks, databases, and Snowflake (a plus).
  • Machine Learning: Experience in deploying machine learning models in production (our main operating model is LightGBM).
  • Language Skills: High proficiency in English.
  • Adaptability: Ability to thrive in a fast-paced, dynamic environment and willingness to learn new technologies and methodologies.
  • A highly innovative and fast-paced environment: As in any startup, expect to find a team with an interesting mix of business profiles, IT geeks, data scientists, and as a fashion tech startup, a few fashion victims.
  • 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-first philosophy: Nextail started as a small company and continues to offer a nice mix of remote and/or office-based environments around the world.
  • Diversity on all levels: United as a single team, we celebrate diversity in 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 various professional fields, including technology, retail, consulting and entrepreneurship
  • The laptop of your choice: We want you to work with the tools that are most comfortable for you!
  • Flexible compensation plan: We offer a competitive salary as well as company equity.
  • Learning allowance: Nextail provides a dedicated individual budget to be spent in training and self development that enhance your skillset.
  • From Start to Success – We own it from start to finish.
  • Their Shoes, Our Path – Customer success guides our path.
  • Nextcellence – We raise the bar every day.
  • We Care – People matter here.
  • Less, and Better – Simple solutions, real impact.
  • Speak Freely, Listen Openly – Open minds. Honest conversations.

Tags & focus areas

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Fulltime Remote Ai Data Science Data Engineer
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