Data Scientist

The Data Scientist solves analytical and business problems using quantitative, statistical, mathematical, and technical approaches. This role researches, designs, implements, and validates algorithms to analyze diverse data sources and generate actionable insights. The Data Scientist applies statistical and predictive modeling techniques to support business decisions, improve processes, and deliver project-specific outcomes. Key Responsibilities

• Apply data science methodologies to solve complex business problems and generate data-driven insights.

• Research, design, develop, implement, and validate statistical and predictive models and algorithms.

• Develop algorithms using statistical methodologies, programming languages, and data science tools.

• Clean, prepare, profile, and transform data to ensure quality and suitability for analysis and modeling.

• Perform data mining, exploratory analysis, and data visualization to identify relationships, patterns, trends, and anomalies.

• Develop and evaluate statistical and machine learning models for regression, classification, forecasting, anomaly detection, and other business applications.

• Partner with domain experts and cross-functional stakeholders to validate model capabilities, assumptions, and business relevance.

• Analyze complex requirements and data to determine appropriate analytical approaches, feasibility, and priorities.