Company : Quantzig
Position Details : Data Scientist
Job Description :
Python Proficiency : Strong proficiency in Python, especially in analytical contexts, is essential.
End-to-End ML Life Cycle : Working experience with the entire machine learning lifecycle.
ML Technique Understanding : Good knowledge of why a particular ML technique is being used in the case and not just how.
Data Visualization and Imputation : Fundamental understanding of data visualization and data imputation techniques.
Machine Learning Models : Familiarity with various machine learning models and functions, prioritizing supervised learning.
LLM Understanding : Understanding of large language models (LLMs), input data requirements, fine-tuning, and error debugging techniques.
Model Deployment and Cloud Services : Some working experience in model deployment and cloud services.
CPG Domain Experience : Experience in the CPG domain is preferred but not mandatory.
Learning Techniques : Strong grasp of supervised learning, with some knowledge of unsupervised learning, such as K-means clustering.
Software Development Practices : Familiarity with software development practices, version control, and agile methodologies.
Data Quality and Validation : Experience in database quality checks, connections validation, and query validation.
Access Control Setup : Experience in setting up role-based access control.
Documentation and Communication : Creating visual documentation for quicker onboarding and effective communication with stakeholders.
GenAI Prompt Engineering : Preparing and engineering prompts for GenAI.
Project Management : Experience in project planning and timeline management.1