Data Scientist

Description

Job Summary: Fred. Olsen is seeking a proactive professional focused on continuous improvement to design Machine Learning models, manage data, and develop dashboards in a dynamic environment. Key Highlights: 1. Join a leading company in the Canary Islands with a dynamic environment. 2. Professional development and continuous learning. 3. Contribute to connecting the region and work within a committed team. **Description:** ---------------- **Fred. Olsen — where your talent drives the future. Would you like to join us?** At the Fred. Olsen Group, we work every day to connect people, regions, and experiences across the Canary Islands. Through Fred. Olsen, we provide a benchmark maritime transportation service renowned for its punctuality, quality, and closeness to our passengers. We seek individuals distinguished by their proactive attitude, orientation toward continuous improvement, and ability to contribute innovative ideas — always prioritizing service excellence. **Your Mission** * Design and deploy Machine Learning models to optimize processes. * Extract, clean, and transform data from SQL Server and IoT sources. * Develop Power BI dashboards for tracking strategic KPIs. * Research new architectures for streaming data processing (Kafka/InfluxDB). **Requirements:** --------------- * Bachelor’s degree in Computer Science, Mathematics, Statistics, or related STEM fields. * Modeling: Solid experience developing predictive models using Python and Deep Learning frameworks (TensorFlow, Keras, or PyTorch). * Databases: Advanced proficiency in SQL Server (query design, stored procedures, and optimization). * Visualization: Ability to transform data into visual narratives using Power BI (DAX and tabular modeling). We seek profiles who add value in real-time data capture and analysis: * Knowledge of communication and streaming protocols: MQTT, Kafka, and Flink. * Time-series management with InfluxDB. * Creation of monitoring environments in Grafana. **Preferred Qualifications** * Specialized Master’s degree in Big Data, Data Science, Data Analytics, or Artificial Intelligence. * Analytical and critical thinking. * Proactivity in proposing data-driven solutions. * Ability to work in multidisciplinary teams. **What We Offer** * Join a leading company in the Canary Islands. * Dynamic environment: no two days are alike here. * Work with people and for people. * Professional development and continuous learning. * Pride in contributing to connecting the region at “Your Best Company”. **Do You See Yourself Here?** If you enjoy working in active environments, engaging directly with people, and being part of the operations that make each crossing possible, we want to meet you! **Committed to Our Team and Customers** At Fred. Olsen, we believe how we work is just as important as what we do. Therefore, we seek individuals who identify with our values and wish to join a committed, continuously evolving team. * We favor working closely, respectfully, and humanely. We champion relationships built on trust — both with our customers and within our team. Here, your contribution matters and your voice is heard. * We care about every detail to deliver excellent service. We strive to do things right from the start, responsibly and professionally, always aiming to exceed expectations. * We operate with a forward-looking vision, mindful of our operating environment. We promote responsible practices and seek to generate a positive impact on society and the environment. * We adapt, evolve, and constantly explore new ways to improve. We encourage ideas, initiative, and continuous learning as part of our daily routine. If you share this approach to work and are motivated to be part of a purpose-driven project, we would love to meet you. **Committed to Equality** At Fred. Olsen, we believe in a workplace founded on respect, diversity, and equal opportunity. We foster an inclusive environment where all individuals can develop professionally, regardless of gender, age, origin, orientation, or any other personal condition. Our selection and development policies are based on objective criteria, ensuring fair and transparent processes. We advocate for equity and actively work to build a diverse team where talent makes the difference.