Job Summary: We are seeking a passionate Senior Data Scientist eager for development and challenges to join a team focused on technological and agile transformation. Key Highlights: 1. Has been recognized as a Great Place To Work company for the 5th consecutive year. 2. Work on diverse projects in generative AI, Big Data, and Machine Learning. 3. Collaborate within an open, transparent, and trusting culture. DESCRIPTION **JOIN OUR TEAM AS A SENIOR 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 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’ve grown significantly over the past year, we remain true to our essence: **always people-centered**. We provide continuous personalized 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 that allow you to work remotely — without losing closeness with the rest of the team! **What are we looking for?** **At Kairós**, we’re looking for a **SENIOR DATA SCIENTIST**. Our Data & AI capability is our newest practice. With expertise in healthcare, science and research, environmental projects, and initiatives in banking and security, it is led by **Inés Huertas**, and continues to grow by incorporating diverse profiles with valuable contributions to make. Within our 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:** * Extensive experience in forecasting, serving as a reference for the area. * Python * AWS * Experience deploying and maintaining projects in production, using real-world use cases. Strong MLOps best practices. * **At Kairós you’ll find:** * Free English classes in small groups. * 23 vacation days, plus December 24 and 31 off, 1 day for events, and 3 flexible work-life balance days! * 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 continuous technical mentoring. * Opportunities to strengthen your personal brand at internal and external events. * Being part of a strong community and receiving support from outstanding professionals and industry references. * 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 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 demonstrate **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.