Stefanini LATAM
10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
Data Scientist
Job not on LinkedIn
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Stefanini LATAM
10,000+ employees
Founded 1987
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
📋 Description
• Looking for a Senior Data Scientist with a solid statistical background and practical experience in data science projects in business environments. • Candidate must be able to frame complex problems as modeling problems, execute rigorous research cycles, and deliver reproducible solutions that can be integrated by engineering teams. • This role operates in close collaboration with an ML Engineering team. Candidate is expected to have clear judgment about their responsibilities within that ecosystem and the discipline to work with software engineering standards, not just analysis standards.
🎯 Requirements
• More than 5 years in data science, statistical analysis, or applied research roles. • Documentable end-to-end projects: from problem definition to delivery of a validated model. • Experience working with engineering teams (ML Engineers, Data Engineers) in agile environments. • Work history in real code repositories (a shareable portfolio will be valued). • Master’s or Doctoral degree in: Mathematics, Statistics, Actuarial Science, Physics, Computer Science, or related fields. • Experience in academic or applied research is a differentiator.
🏖️ Benefits
• Health insurance • Professional development opportunities
Apply NowSimilar Jobs
🕒 5 days ago
Senior Clinical Data Team Lead overseeing clinical data management for global pharmaceutical projects. Ensuring operational excellence and mentoring junior staff in a fully remote role.
🕒 5 days ago
Clinical Data Team Lead managing clinical trial data management activities and liaisons between teams. Leading training and project documentation while monitoring study metrics and resource allocation.
🕒 5 days ago
Senior Clinical Data Team Lead managing projects for top pharmaceutical companies and biotechs. Ensuring operational excellence and mentoring junior data management staff.
🕒 5 days ago
Senior Clinical Data Team Lead at Thermo Fisher Scientific, ensuring operational excellence in clinical trials for top pharmaceutical companies. Collaborating on project management and metrics oversight.
🕒 5 days ago
Senior Clinical Data Team Lead managing clinical data processes for pharmaceutical companies and biotechs. Ensuring operational excellence and mentoring junior staff while collaborating with project leads.
