{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"

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.

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