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Job Summary: Kairós is seeking a passionate Data Scientist eager for development and challenges to join a team focused on technological and agile transformation. Key Highlights: 1. Be part of a Great Place To Work organization 2. Work on diverse projects within multidisciplinary teams 3. An open, transparent, and trusting culture DESCRIPTION **JOIN OUR TEAM AS A DATA SCIENTIST!** Do you want to join an organization committed to caring for people and supporting their personal and professional growth? Are you passionate about development and eager to tackle new challenges? Join Kairós! **Who are we?** We have been certified as a **Great Place To Work** company 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 have grown significantly over the past year, we remain true to our essence: **always people-centered**. We provide continuous personal follow-up 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 allowing you to work remotely — without losing closeness with the rest of the team! **What are we looking for?** **At Kairós**, we are seeking **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 expanding by incorporating diverse profiles with valuable contributions to make. Within our discipline, we cover the entire lifecycle — from data design and convergence to data exploitation experts using BI or IT Engineers. We work on generative AI projects, predictive algorithms, Big Data platform development, and dashboard creation — 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 will find:** * Free English classes in small groups. * 23 vacation days, December 24 and 31 off, 1 day for personal events, and 3 flexible-workdays for work-life balance! * Enjoy summer with our reduced working hours in August and year-round Friday half-days. * Flexible compensation via Cobee, usable for dining, public transportation, training, and childcare vouchers. * Health insurance through Cigna or Sanitas: we care about your physical and mental well-being. * Ongoing personal support through our Wellness 3\.0 program and continuous technical mentoring. * Opportunities to strengthen your personal brand at internal and external events. * Membership in a large community and support from outstanding professionals and industry leaders. * But above all… being part of a company where you are heard, cared for, and where we strive to meet your needs and expectations. **You’ll fit right in if** you enjoy **learning, sharing 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 fostering an inclusive and respectful environment where all employees feel valued and empowered 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.
