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Senior Associate-Data Scientist
JOB_REQUIREMENTS
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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.
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
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