Data Scientist

We are seeking a talented Data Scientist with 1-3 years of experience to lead and drive data science initiatives within our department. This is a full-time position focused on developing and implementing advanced analytical solutions using cutting-edge platforms. Personal Profile: Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders Strong leadership qualities with proven ability to drive system implementation and adoption Assertive and confident in leading cross-functional initiatives Self-motivated with the ability to work independently and as part of a team Passionate about leveraging data to create business value The position is open to all qualified candidates regardless of gender. Responsibilities Lead the characterization and development of machine learning models using DATAIKU and Vertex.AI platforms Design, build, and deploy predictive models and algorithms to solve complex business problems Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions Perform exploratory data analysis and feature engineering Implement and optimize machine learning pipelines in cloud environments Lead the implementation and adoption of new data science systems and methodologies Present findings and recommendations to stakeholders using data visualization and clear communication Stay current with latest developments in data science and machine learning technologies Requirements Minimum 1+ years of hands-on experience in Data Science (beyond just LLM applications) Practical experience working with Large Language Models (LLMs) through coding Cloud platform experience (GCP, AWS, or Azure preferred) Strong proficiency in DATAIKU and Google Vertex.AI Solid understanding of machine learning algorithms and statistical methods Proficiency in Python and relevant data science libraries (pandas, scikit-learn, TensorFlow/PyTorch) Strong analytical thinking and problem-solving capabilities Bachelor's degree in Computer Science, Statistics, Mathematics, or related field Nice to have Experience with MLOps and model deployment in production environments Knowledge of SQL and big data technologies Experience with A/B testing and experimental design Familiarity with agile development methodologies