Data Scientist

As a highly skilled Data Scientist with Business analysis experience, you will be responsible for the following key tasks: - Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. - Develop and maintain dashboards and reports to visualize key business metrics. - Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. - Build and evaluate statistical and machine learning models to support predictive analytics. - Translate business problems into analytical frameworks and communicate findings effectively. Qualifications Required: - Proficiency in Python for data manipulation and analysis. - Strong knowledge of SQL for querying and managing data. - Experience in data analysis and business analytics. - Familiarity with machine learning and statistical modeling. - Ability to interpret and communicate complex data insights to non-technical stakeholders. Additional Details: Experience with data visualization tools, exposure to Generative AI frameworks and applications, and understanding of cloud platforms (AWS, GCP, or Azure) is considered beneficial for this position. As a highly skilled Data Scientist with Business analysis experience, you will be responsible for the following key tasks: - Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. - Develop and maintain dashboards and reports to visualize key business metrics. - Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. - Build and evaluate statistical and machine learning models to support predictive analytics. - Translate business problems into analytical frameworks and communicate findings effectively. Qualifications Required: - Proficiency in Python for data manipulation and analysis. - Strong knowledge of SQL for querying and managing data. - Experience in data analysis and business analytics. - Familiarity with machine learning and statistical modeling. - Ability to interpret and communicate complex data insights to non-technical stakeholders. Additional Details: Experience with data visualization tools, exposure to Generative AI frameworks and applications, and understanding of cloud platforms (AWS, GCP, or Azure) is considered beneficial for this position.