Job Description
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
