Browse
···
Log in / Register
Job Summary: Kairós is seeking a passionate Data Scientist who thrives on development and challenges, to join a team focused on personal and professional growth in generative AI and Big Data projects. Key Highlights: 1. Part of a Great Place To Work certified company 2. Work on technological and agile transformation projects 3. An environment that values learning and respect DESCRIPTION **JOIN OUR TEAM AS A DATA SCIENTIST!** Do you want to be part of an organization committed to caring for people and supporting their personal and professional growth? Are you passionate about development and eager to take on new challenges? Join Kairós! **Who are we?** We have been certified as a **Great Place To Work** since 2019 — for the fifth consecutive year — and ranked **5th in 2024**, thanks to our values, culture, and internal benefits and initiatives centered on people. We support our clients in technological and agile transformation projects. **We work in discipline-based teams and multidisciplinary squads across highly diverse projects** (retail, healthcare research, banking, security, mobility, etc.). Although we’ve grown significantly over the past year, we remain true to our essence: **always people-centered**. We conduct continuous personal follow-ups with our technical and Talent teams. Moreover, we consistently prioritize transparency and clarity. We operate in **Spain, Mexico, and Peru**. At Kairós, you’ll find projects enabling remote work — without losing closeness with the rest of the team! **What are we looking for?** **At Kairós**, we’re looking for **DATA SCIENTISTS**. Our Data & AI capability is our most recently established discipline. With credentials in healthcare, science and research, environmental projects, and initiatives in banking and security, it is led by **Inés Huertas**, and continues growing by incorporating diverse profiles with valuable contributions to make. Within this discipline, we cover the full lifecycle — from data design and convergence to experts in data exploitation via BI or IT Engineers. We work on generative AI projects, predictive algorithms, Big Data platform development, and dashboard generation — surrounded by Kairoseros and Kairoseras in roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, and Data Visualization Specialist. **Requirements:** * Experience solving mathematical optimization problems, preferably in logistics optimization. * Knowledge of classical machine learning. * Experience with Python. * Experience with AWS. **At Kairós you’ll find:** * Free English classes in small groups. * 23 vacation days, plus December 24 and 31 off, 1 day for personal events, and **3 flexible workdays**! * Enjoy summer with our reduced working hours in August and intensive schedule every Friday throughout the year. * Flexible compensation via Cobee, usable for dining, public transport, training, and childcare vouchers. * Health insurance with Cigna or Sanitas: we care about your physical and mental well-being. * Ongoing personal support through our Wellness 3\.0 program and consistent technical mentoring. * Opportunities to strengthen your personal brand at internal and external events. * Being part of a large community and receiving support from exceptional professionals and industry leaders. * But above all… being part of a company where your voice is heard, where you’re cared for, and where we strive to meet your needs and expectations. **You’ll fit in perfectly if** you enjoy **learning, sharing your knowledge, and treating others with respect and kindness**. If you’re interested in contributing to an **open, transparent, and trusting culture**, and if you also possess **organizational skills, responsibility, and commitment**. **\#TRY \#THINK \#FEEL \#ENJOY** **** At Kairós, we firmly believe in the importance of equality and diversity in the workplace. We are committed to creating an inclusive and respectful environment where all employees feel valued and have the opportunity to reach their full potential — regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or any other characteristic protected by law.
