What does the company do? Unosquare is a global digital engineering company with over 1,000 professionals in more than eight countries. Since 2009, they have earned a reputation for putting people first. After 16 years in the industry, they continue to believe that the best way to grow the company is to invest in their staff. They work on projects for clients in various industries, including software development, healthcare, finance, and education, among others. What do you need to join the team? Personal requirements: Teamwork Results\-oriented. Creativity Ability to develop cohesive working relationships with internal and external clients. Technical requirements: Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline. 2\-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders. 3\-5 years’ experience with Python and SQL. Experience with cloud computing platforms and tools (AWS, GCP, or other). Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time\-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) Proficiency with data visualization tools (D3\.js, R Shiny, Looker, Streamlit, or similar). Experience operationalizing end\-to\-end machine learning applications. Other Preferred Qualifications: Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines. What will you do? Develop analytical models and solutions / production\-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives. Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re\-usability. Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation. Communicate clearly and effectively to technical and non\-technical audiences, verbally and visually, to create understanding, engagement, and buy\-in. Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds. Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable. What is the main challenge of the role? Be a pioneer in business, education, and global impact by joining the team \- a “startup with assets,” where you will have the chance to deploy cutting\-edge digital\- and emerging\-technology education solutions. Where else can you make a difference at the intersection of cutting\-edge technology, world\-class education, noble purpose, and timeless legacy? As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi\-modal and varied\-form content, and the most innovative research and teaching methodologies. In this capacity, you will translate the needs of our cross\-functional stakeholders into predictive models and production\-grade algorithms and platforms and will drive value creation through personalized engagement, expanded reach, and experimental new ways of learning that will continue the organization's leadership in education, business, and societal impact. You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working. Who will you work with? You will work within a multidisciplinary and intercultural team. What tools will you work with? Python and SQL, cloud computing platforms and tools (AWS, GCP, or other),Random Forest, KNN, SVM, D3\.js, R Shiny, Looker, Streamlit, TensorFlow, NLP, LLMs When and where will you work? The work schedule is 100% remote and managed by objectives, so you can work from anywhere in Latin America, within an 8\-hour daily window. You must be flexible enough to join meetings in the EST time zone. What does the company offer? Contractor hiring Salary in USD (paid via Deel platform) 100% remote work Personalized training PTO days What are the steps of the selection process? You will first have an interview with our Recruiter, Carla Carrizo, to learn more about your work experience and interests. Then, with the hiring company, you will go through several stages: ? Live Coding ? HR Interview ? Technical Interview with leaders from the assigned client