Descripción de la oferta
Are you passionate about turning data into actionable business value? We are looking for a Senior Data Scientist to join our team and drive the development of advanced analytics and machine learning solutions that solve complex business challenges. This role is ideal for someone who enjoys working across the full data science lifecycle, from exploration and modelling to deployment and business adoption.
At Mimacom, we create business-critical digital solutions that help organizations innovate and succeed in an increasingly digital world. Our teams combine deep technical expertise, collaboration, and a strong customer focus to deliver impactful results. We value continuous learning, knowledge sharing, and an inclusive culture where people can thrive and grow.
As a Senior Data Scientist , you will focus on traditional Machine Learning and Advanced Analytics initiatives, working with large-scale datasets to develop and deploy production-ready solutions. You will partner with business and technical stakeholders to identify opportunities, build analytical products, and translate insights into measurable business value. This role is primarily focused on classical Machine Learning rather than Generative AI or Large Language Models.
What You'll Do
Design, develop, and deploy end-to-end Machine Learning and Advanced Analytics solutions.
Explore, prepare, and analyse large-scale datasets to uncover insights and business opportunities.
Build and optimize models including forecasting, optimisation, clustering, regression, and recommendation solutions.
Design and implement scalable ML pipelines, including deployment, monitoring, and performance tracking in production environments.
Evaluate model performance through robust validation, testing, explainability, and model selection techniques.
Collaborate closely with business stakeholders to ensure analytical solutions address real-world challenges and deliver measurable value.
What You'll Need
Strong experience in Machine Learning and statistical modelling.
Proven expertise in forecasting, optimisation, clustering, regression, recommendation systems, and other advanced analytics techniques.
Strong programming skills in Python, PySpark, and SQL.
Hands-on experience working with Databricks and large-scale datasets.
Experience with model selection, validation, performance evaluation, and explainability methodologies.
Experience building and maintaining production-grade ML pipelines.
Strong communication, presentation, and data storytelling skills.
Strong business mindset with the ability to connect analytical solutions to tangible business outcomes.
Fluency in English and Spanish.
Nice to Have
Experience with Power BI or other data visualisation tools.
Experience in commercial use cases such as pricing, forecasting, assortment optimisation, or supply chain optimisation.
What to Expect
Your personal and professional growth is important to us, and we offer a range of benefits and opportunities to support your journey. Here's what you can expect when joining our team:
Holidays & Flextime: You will enjoy 30 days of vacation. We understand that while you love your work, it's just one part of a whole person. That's why we allow you to work in a way that accommodates your lifestyle and other commitments.
Work from Anywhere in Spain: Join us remotely from wherever you feel most productive, or visit any of our offices in Madrid, Valencia, Barcelona, or Gijón.
Career Growth: We'll work together to create a development plan that supports your ambitions and helps you grow your skills.
Choose Your OS: Whether you prefer macOS or Windows, we've got you covered.
Team Get-Togethers: We love connecting in person through team events, meals, and company gatherings.
At Mimacom, we believe that diversity drives innovation and better outcomes. We are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to contribute their unique perspectives. We welcome applications from candidates of all backgrounds and experiences and are dedicated to providing equal opportunities for all.
