Would you like to help us achieve our purpose of connecting more people, improve their lives and develop our communities? If so, Tigo is for you! We are champions of positive transformation. We believe in innovation, adaptation, and prioritizing our customers at the core of all our actions. Come and grow with our team, where together we will transform lives and communities. Additionally, you will have the opportunity to participate in challenging projects and bring your innovative ideas. This is your opportunity, come and be part of Sangre Tigo! **Apply right now!** Data Scientist Manager **Main Responsibilities:** * Align business strategic needs with the development of predictive models. * Data analysis and insight generation: Analyze large volumes of data from various business sources (Transactions, Subscriptions, Tigo Money, B2B, Network, among others) to identify patterns, trends, and opportunities that support strategic business decisions. * Development of predictive models: design, develop, train, and optimize predictive models using advanced Machine Learning techniques to improve processes such as predicting customer behavior, payment quality scoring, upsell and cross-sell opportunities, etc. * Definition and monitoring of key metrics: Collaborate with business units to define and establish performance metrics for predictive models and their generated value, ensuring proper measurement of key performance indicators (KPIs). * Continuous development of new variables and improvement of existing ones for predictive models. * Present predictive model results to directors and managers. **Requirements:** * **Graduate of Business Engineering,** Computer Systems Engineering, Economics, Statistics or related fields. * Postgraduate degree or specialization in **Data Science, Machine Learning** or similar disciplines is desirable. * Minimum **3 years** of experience in roles related to **data analysis, predictive modeling and Machine Learning** * Advanced proficiency in **Python** and libraries such as Pandas, NumPy, Scikit\-learn, Matplotlib/Seaborn for data analysis and visualization. * **Advanced knowledge of SQL** for extraction and manipulation in relational and non-relational databases. * Visualization tools: **Power BI** * Experience in using **Machine Learning** techniques, including **regression, classification, clustering** and **predictive analytics**. * + ️ Desirable experience in **Amazon Sagemaker.** **Apply now and become part of the future of telecommunications in El Salvador!** **\#JobOpportunity \#TigoElSalvador \#Telecommunications \#ProfessionalGrowth \#TigoElSalvador** Our people are the soul of Tigo El Salvador. We employ more than 4,500 people directly and indirectly, which makes us proud of being a responsible company that contributes to the economic growth of the country. More than job opportunities, at Tigo we create professional development networks where our employees have no barriers to reach their full potential. Our Sangre Tigo culture is lived in every corner of our work centers, pushing us to be the best. Sangre Tigo moves us to work together with a purpose, to be innovative, agile and disciplined, to guide our actions by our integrity, to place our clients at the center of everything we do, to be engines of positive change, being always proud of our history. We promote the digital lifestyle and take full advantage of technology to facilitate the day\-to\-day life of our clients. Throughout the years, we have been acknowledged as one of the top workplaces in El Salvador and Central America. At Tigo, we are not just a great workplace; we are a community of amazing people to work with. We welcome you to join our team! Apply Now! *Millicom \| Tigo is proud to be an Equal Employment Opportunity employer committed to a diverse workforce and nondiscrimination policy in all aspects of employment. We provide equal opportunity and access for all persons, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a disabled veteran or other protected veteran, or any other protected characteristic, in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.*