Data Scientist Apprentice

Overview

Responsibilities

• Utilize expertise in statistical analysis, machine learning, and deep learning techniques to solve complex international business problems.
• Develop, train, and deploy predictive models using machine learning frameworks and tools.
• Perform data preprocessing, feature engineering, and exploratory data analysis to identify patterns and trends.
• Collaborate with domain experts and stakeholders to understand business requirements and translate them into analytical solutions.
• Apply cloud engineering principles to design and deploy scalable and efficient AI solutions in the cloud environment.
• Collaborate with software engineers to integrate machine learning models into production systems.
• Implement MLOps practices to automate model training, deployment, and monitoring processes.
• Communicate complex findings and insights to both technical and non-technical stakeholders through clear and concise reports and visualizations.
  

Qualifications

• Advanced degree in computer science, machine learning, statistical methods, or related field.
• 0-1 years of industry experience in a data science role.
• Proficiency in Python programming language and experience with popular data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of MLOps practices and experience with tools such as Docker, AWS EMR, or AWS Sagemaker.
• Understanding of data preprocessing techniques, feature engineering, and exploratory data analysis.
• Demonstrated ability to work with large data sources with a focus on data privacy and security.
• Solid foundation in software engineering principles.
• Background in software development process and tools with a focus on Jira.
• Experienced in working in a geographically distributed team environment.
• Experience working for leadership located in other countries and cultures as well as large time zone shifts.
  

Communications:

• Excellent communication & presentation skills.
• Strong teamwork, communication skills, passion, creativity, productivity & learning agility.
• Strong written and verbal communications skills working with internationally based colleagues.
• Ability to articulate and interpret analytical results from developed programs.
  

Qualifications