Remote Data Scientist

Description:

• RYZ Labs is seeking a Data Scientist for their internal team, focusing on an innovative AI project aimed at redefining communication through artificial intelligence.
• The role involves analyzing and interpreting complex data sets to drive insights for an AI messaging tool that enhances messaging experiences.
• The Data Scientist will collaborate closely with engineering and product teams to develop data-driven models and algorithms for continuous improvement and optimization of AI solutions.
• Responsibilities include developing and maintaining Python code within an Azure environment, consolidating and optimizing data pipelines, and building foundational elements for Machine Learning and Experimentation Environments.
• The position requires establishing connections with SQL Databases and managing data from various sources, including APIs and Azure.
• The Data Scientist will also utilize Business Intelligence tools to visualize data independently and prepare data for experimentation environments.

Requirements:

• A Bachelor’s degree in Computer Science, Data Science, statistics, economics, or a related quantitative field is required.
• Candidates must have 4+ years of experience in Python, specifically in applying AI/ML models to Business Intelligence solutions.
• Proficiency in SQL for data manipulation and analysis is essential.
• Familiarity with PowerBI, Tableau, or similar BI tools for creating dashboards and reports is required.
• Strong communication and interpersonal skills are necessary for effective collaboration.

Benefits:

• RYZ Labs offers a remote work environment for professionals based in Argentina or Uruguay.
• Employees will have the opportunity to work with cutting-edge technologies in cloud computing and contribute to scalable and resilient applications.
• The company promotes autonomy and efficiency, allowing team members to own every step of their development.
• There is a strong emphasis on learning, growth, and challenging projects, providing an environment rich in opportunities.
• Team members will work alongside experienced professionals and specialists, enhancing their skills and knowledge.