Senior Associate-Data Scientist

Desired Skills And Experience

◼ Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques.

◼ Proficiency in programming languages such as Python data analysis and model development.

◼ Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks.

◼ Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries.

◼ Strong knowledge of SQL and experience working with various database systems and big data technologies.

◼ Proven track record of developing and deploying machine learning models in production environments.

◼ Experience with version control systems (e.g., Git) and collaborative development practices.

◼ Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI.

◼ Strong mathematics background including statistics, probability, linear algebra, and calculus.

◼ Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.

◼ Experience working in cross-functional teams and managing projects through the full data science lifecycle.

◼ Knowledge of ethical considerations in AI development including bias detection and mitigation techniques.

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Key Responsibilities

◼ Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine

learning techniques.

◼ Design, develop and implement advanced machine learning models and algorithms to solve business problems

and drive data-driven decision making.

◼ Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and

accuracy.

◼ Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration.

◼ Collaborate with cross-functional teams to understand business requirements and translate them into analytical

solutions.

◼ Evaluate model performance using appropriate metrics and validation techniques to ensure reliability