- Developing Solutions: contributing to the development of data science solutions from idea to maturity.
- 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.
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, 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.
- International environment: We operate across the globe, with recent operations reaching from Europe to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.
- 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 fixed + variable salary as well as company equity as we progress towards our.
- Experience: 1-2 years of experience working as a data analyst, 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: Some experience in machine learning is preferred but not required; production experience is a plus.
- Language Skills: High proficiency in English.
- Adaptability: Ability to thrive in a fast-paced, dynamic environment and willingness to learn new technologies and methodologies.
Nextail is an equal-opportunity employer. We are committed to fostering an inclusive environment regardless of race, color, ancestry, religion, gender, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.To all recruitment agencies: Nextail does not accept agency resumes. Please refrain from forwarding resumes to our jobs alias, Nextail employees, or any other organization location. Nextail is not responsible for any fees related to unsolicited resumes.
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Data Science Junior - Madrid, España - Nextail
Descripción
We are seeking a Junior Data Scientist with some 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. 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
You will be: