Join Lago as a Data Scientist and leverage advanced analytics to drive data-informed decisions in our innovative tech environment. Collaborate with cross-functional teams to build scalable models that enhance product performance and user experiences.

Lago is seeking a talented Data Scientist to join our remote team and contribute to groundbreaking projects in the software and IT sector. In this role, you will analyze complex datasets to uncover actionable insights that inform our product strategy and optimize operational efficiency. You will work closely with engineers, product managers, and stakeholders to develop predictive models, automate reporting processes, and enhance decision-making across the organization.

Key responsibilities include data cleaning and preprocessing, building and deploying machine learning models, conducting A/B testing, and creating visualizations to communicate findings effectively. You will also stay abreast of the latest trends in data science to recommend innovative approaches that align with business goals. This position offers the opportunity to make a meaningful impact in a dynamic startup environment while enjoying the benefits of remote work.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in data science or machine learning roles
• Proficiency in Python, R, or similar programming languages for data analysis
• Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Experience with SQL and data visualization tools such as Tableau or Power BI
• Familiarity with big data technologies like Hadoop or Spark is a plus
• Excellent problem-solving skills and ability to work in a fast-paced remote setting

• Competitive monthly salary with performance-based bonuses
• Fully remote work flexibility from anywhere in Argentina
• Comprehensive health insurance coverage
• Professional development opportunities including conferences and certifications
• Generous paid time off and flexible working hours
• Access to modern tools and learning resources
• Collaborative and inclusive company culture