At ETHICS CODE, we are seeking a talented and motivated Data Scientist to join our team. As a Data Scientist, you will be responsible for extracting insights and patterns from large and complex datasets to help drive data-driven decision making within our organization. You will collaborate with cross-functional teams and apply advanced analytics techniques to solve complex business problems.

In this role, you will:

• Perform statistical and exploratory data analysis using Python and SQL.
• Develop, implement and optimize machine learning models using libraries and tools such as TensorFlow and Azure Machine Learning.
• Create effective data visualizations using tools such as Tableau, Matplotlib and Seaborn.
• Use Linux command line skills to manage and process large volumes of data.
• Manage data science projects using Git and GitHub for effective version control and collaboration.
• Design and maintain efficient databases using PostgreSQL.
• Deploy and monitor machine learning models in production environments using Azure Machine Learning.
• Work closely with other teams to understand their data needs and provide appropriate analytics solutions.

Requirements

Education: Degree in Computer Science, Statistics, Mathematics, Engineering or related field.

Experience: Minimum of 2 years of experience in a similar role.

Technical Knowledge:

• Proficiency with Python and libraries such as Pandas, Matplotlib and Seaborn.
• Experience with SQL for queries and data analysis.
• Skills in the use of data visualization tools such as Tableau.
• Knowledge in machine learning and frameworks such as TensorFlow and Azure Machine Learning.
• Experience with version control tools such as Git and GitHub.
• Familiarity with Linux command line management.

Soft Skills:

• Strong analytical and problem solving skills.
• Ability to communicate complex findings in a clear and concise manner.
• Collaboration and teamwork skills.
• Attention to detail and commitment to quality work.
• Benefits:
• Competitive Salary: We offer a competitive salary package commensurate with the candidate's experience and skills.
• Professional Development: Continuous opportunities for training and professional development.
• Work Environment: An inclusive and collaborative work environment.
• Fringe Benefits: Medical insurance, paid vacation and other corporate benefits.

Benefits

• 💲 USD salary
• 🏡 100% Remote.
• 🌎 Opportunity to work on projects worldwide.
• 👨🏽‍🎓 Access to E-learning platforms.
• 🎉 Annual Day Off.
• 💰 Referral bonuses.
• 🎓 Certification coverage.