Junior Data Scientist

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities:

• Prepare and preprocess data for AI models, develop features, and collaborate with R&D and Product teams to ensure the effective deployment and monitoring of machine learning models.
• Build and maintain scalable ML data pipelines, ensuring seamless integration with AI workflows.
• Analyze and integrate data from various sources, ensuring high-quality data for use in models.
• Optimize data processing systems for performance and cost-efficiency, automating routine data handling tasks.
• Collaborate closely with data team to document data processes and infrastructure, providing training and support when needed.
• Monitor the performance of deployed models, analyze outputs, and recommend data-driven improvements.
• Ensure data security, compliance with regulations, and implementation of data governance policies.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• Basic understanding of data science concepts and workflows, including data preprocessing and feature engineering.
• Proficiency with programming languages commonly used in data science, such as Python or R.
• Familiarity with database systems (SQL, NoSQL) and data integration concepts.
• Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, PyTorch) is an advantage.
• Experience or knowledge of ETL tools and pipeline design is an added bonus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies and methodologies.