Senior Power BI Data Scientist

As a Data Scientist, your primary role will involve translating business requirements into well-defined data science problems and designing analytical approaches that are aligned with business objectives and constraints. You will need to apply design thinking to develop structured and scalable data-driven solutions. Key Responsibilities: - Translate business requirements into well-defined data science problems - Design analytical approaches aligned with business objectives and constraints - Apply design thinking to develop structured and scalable data-driven solutions - Validate business objectives and key results (OKRs) using statistical methods - Ensure analytical outputs are aligned with measurable business goals - Apply hypothesis-driven thinking for decision-making and evaluation - Perform data cleaning, transformation, and preprocessing using Python or R - Handle structured and unstructured datasets for analysis and modeling - Ensure high-quality datasets for downstream analytics and ML workflows - Conduct exploratory data analysis to identify trends and patterns - Generate actionable insights through visualization and narrative storytelling - Develop and evaluate machine learning models for business use cases - Perform iterative model tuning while balancing performance and resource efficiency - Make informed decisions on model iteration cycles and stopping criteria - Use Excel VBA for automation of repetitive analytical tasks and reporting - Streamline workflows for faster data processing and reporting - Communicate insights clearly through written and verbal presentations - Translate complex analytical findings into business-friendly narratives - Collaborate with cross-functional teams to quickly understand new domains - Rapidly acquire domain knowledge across industries - Apply strong data literacy to diverse business contexts - Use problem-solving and analytical reasoning to support decision-making Qualification Required: - Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or related fields - Strong proficiency in programming languages such as Python or R - Experience with data visualization tools like Tableau or Power BI - Knowledge of machine learning techniques and algorithms - Excellent communication skills and the ability to collaborate with stakeholders from various domains - Strong problem-solving skills and analytical reasoning abilities Please note that there are no additional details about the company provided in the job description. As a Data Scientist, your primary role will involve translating business requirements into well-defined data science problems and designing analytical approaches that are aligned with business objectives and constraints. You will need to apply design thinking to develop structured and scalable data-driven solutions. Key Responsibilities: - Translate business requirements into well-defined data science problems - Design analytical approaches aligned with business objectives and constraints - Apply design thinking to develop structured and scalable data-driven solutions - Validate business objectives and key results (OKRs) using statistical methods - Ensure analytical outputs are aligned with measurable business goals - Apply hypothesis-driven thinking for decision-making and evaluation - Perform data cleaning, transformation, and preprocessing using Python or R - Handle structured and unstructured datasets for analysis and modeling - Ensure high-quality datasets for downstream analytics and ML workflows - Conduct exploratory data analysis to identify trends and patterns - Generate actionable insights through visualization and narrative storytelling - Develop and evaluate machine learning models for business use cases - Perform iterative model tuning while balancing performance and resource efficiency - Make informed decisions on model iteration cycles and stopping criteria - Use Excel VBA for automation of repetitive analytical tasks and reporting - Streamline workflows for faster data processing and reporting - Communicate insights clearly through written and verbal presentations - Translate complex analytical findings into business-friendly narratives - Collaborate with cross-functional teams to quickly understand new domains - Rapidly acquire domain knowledge across industries - Apply strong data literacy to diverse business contexts - Use problem-solving and analytical reasoning to support decision-making Qualification Required: - Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or related fields - Strong proficiency in programming languages such as Python or R - Experience with data visualization tools like Tableau or Power BI - Knowledge of machine learning techniques and algorithms - Excellent communication skills and the ability to collaborate with stakeholders from various domains - Strong problem-solving skills and