DESCRIPTION **Who are we?** We are **Kairós**, a different technology company. Yes, we help our clients tackle digital and methodological transformation challenges, but what truly defines us is **how we do it**: by putting people at the center. We have been recognized as a **Great Place To Work Certified Company** since 2019 — for the sixth consecutive year — ranking **5th in 2024**. Our values of **courage, empathy, innovation, and joy** guide how we work every day. We are over 850 people (developers, data engineers, strategists, etc.) and are now looking for someone to join this brilliant and diverse team. At Kairós, you’re not just another number. We know you by name, care about your personal balance, and want you to grow with us. **Your mission at Kairós** We are seeking a **Senior Data Scientist**, specialized in **Customer Analytics**, to join key projects focused on **customer knowledge in B2B environments**. You will integrate into our **Data & AI** team with the challenge of designing, developing, and deploying analytical solutions aimed at improving customer understanding, supporting commercial decision-making, and generating direct impact on customer acquisition, conversion, retention, and growth. On a day-to-day basis, you will: * **Gather business requirements and identify analytical opportunities**, designing end-to-end Data Science solutions. * **Design, develop, and validate predictive analytical models** applied to sales, commercial management, and the customer lifecycle. * **Support model deployment to production**, ensuring scalability and effective integration. * **Communicate valuable insights and recommendations** clearly to both technical and business stakeholders. * **Apply sound technical development practices**, ensuring clean, well-documented, and maintainable code. **What will make you successful** **Key Requirements (Must-have):** * **Senior Experience:** Minimum of **4–5 years’ experience** in advanced analytics, Machine Learning, and Customer Analytics projects. * **Commercial Use Cases:** Demonstrable experience in real-world projects involving **customer segmentation, lead scoring, purchase propensity, opportunity conversion prediction, churn, or Customer Lifetime Value (LTV)**. * **B2B Focus:** Solid experience in **B2B environments**, with deep understanding of their commercial processes and customer lifecycle management. * **Technical Proficiency:** Strong knowledge of **supervised and unsupervised Machine Learning techniques** applied to customer-related problems. * **Ecosystem & Cloud:** Advanced proficiency in **Python** and the standard Data Science ecosystem, plus experience with cloud platforms (preferably **AWS**). * **Best Practices:** Familiarity with development best practices such as **Git, testing, documentation, code structuring, and CI/CD**. * **Communication & Languages:** Ability to convey results and insights effectively to both technical and business audiences, plus a minimum **B2 level of English**. **Nice-to-have:** * Experience building **360-degree customer views** and customer knowledge models. * Background in **CRM Analytics, Sales Analytics, or Revenue Analytics**. * Knowledge of **MLOps tools and practices** (**MLflow, Kubeflow, SageMaker**, or similar). **Benefits that make the difference** **Meaningful Professional Growth** * Ongoing corporate training. * Free **English classes** in small groups. * Continuous mentoring and personalized support. * Participation in tech conferences, events, and communities. **Real Balance and Flexibility** * **23 vacation days** + December 24 and 31 off. * 1 day for professional events and **3 flexible work–life balance days**. * **Reduced working hours in August**, and **intensive schedule every Friday throughout the year**. * **100% remote work:** You’ll work remotely, with some flexibility to adapt your schedule — though this may depend on your assigned project. **Benefits and Personal Well-being** * **Flexible compensation** (Cobee) for meals, transportation, training, and childcare. * **Health insurance** with Cigna, Adeslas, or Sanitas. * **Wellness program** supporting emotional and psychological well-being. **\#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. **Apply now and join the Kairoseros and Kairoseras team!**
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
