About the role
Seeking an experienced Data Scientist with 5 + years of experience in machine learning, statistical modelling, and advanced analytics to build scalable data-driven solutions.
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.