Data Scientist

Responsibilities:

• Develop and deploy machine learning models to solve business problems.
• Perform data analysis, feature engineering, and model evaluation.
• Apply and tune ML algorithms, including Ensemble methods (Random Forest, XGBoost), Logistic Regression, SVM, and clustering techniques (K-Means, DBSCAN).
• Collaborate with cross-functional teams to deliver data-driven insights.
• Take ownership of end-to-end data science projects, including problem formulation, data exploration, feature engineering, model development, validation, and deployment, ensuring high-quality deliverables that meet project objectives.

Requirements:

• 5 + years of hands-on experience in Data Science or Machine Learning.
• Strong knowledge of ML algorithms, model tuning, and evaluation.
• Proficiency in Python/SQL/Snowpark and ML libraries.
• Experience with large datasets and modern data platforms.
• Snowflake experience preferred but not mandatory.
• Familiarity with Generative AI concepts and AI Agents.

Skills

AI agents, ML, SQL, data science, generative AI, machine learning, python, snowpark