Job Summary: We are seeking a passionate Data Scientist with experience in mathematical optimization and classical machine learning to join a multidisciplinary team working on technological and agile transformation projects. Key Highlights: 1. Part of a Great Place To Work organization. 2. Work in multidisciplinary teams focused on people. 3. Learn and share knowledge in a transparent and trusting environment. DESCRIPTION **JOIN OUR TEAM AS A DATA SCIENTIST!** Do you want to be part of an organization that values people’s well-being and supports 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** 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 maintain continuous personal follow-up with our technical and Talent teams, and 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 newest practice area. With proven expertise 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 our discipline, we cover the full data lifecycle — from data design and convergence to experts in data exploitation 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 in 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, December 24 and 31 off, 1 day for events, and 3 flexible-work days! * Enjoy summer with our reduced working hours in August and year-round Friday half-days. * 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 health. * 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 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 right in 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 ability, 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 building 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.