Data Scientist

The Data Scientist is responsible for developing advanced analytical models and data-driven solutions that provide actionable business insights. This role focuses on building predictive and classification models to address key business challenges, conducting comprehensive exploratory data analysis (EDA), and performing feature engineering to enhance model performance. The Data Scientist collaborates closely with stakeholders to translate analytical findings into strategic recommendations, driving data-informed decision-making across the organization. By leveraging expertise in data science, machine learning, and deep learning, this role plays a pivotal part in unlocking business value from complex datasets.

• Build predictive and classification models for business insights.

• Conduct exploratory data analysis (EDA) and feature engineering.

• Present findings and recommendations to stakeholders.

Core Skills Required:

• Data Science: Strong command of statistical analysis, data manipulation, and business-focused modeling.

• Machine Learning (ML): Proficiency in developing, training, and validating predictive and classification models.

• Deep Learning (DL): Experience with neural network architectures and frameworks for advanced modeling tasks.

• Python: Expertise in Python programming for data analysis, modeling, and automation workflows.

• SQL: Skilled in querying, transforming, and managing structured data to support analytical and modeling activities.