Data Scientist

Responsibilities

• Data Mining : Identify and extract valuable data from various sources such as databases, APIs, and web scraping.
• Feature Selection and Classification : Utilize machine learning algorithms to choose the most relevant features from the dataset, develop classifiers, and refine them for better accuracy.
• Data Preprocessing : Clean and format both structured (like SQL databases) and unstructured data (like text or images) to prepare it for analysis.
• Data Integrity : Implement processes to ensure data quality by validating and cleansing datasets to eliminate inconsistencies and errors.
• Pattern Analysis : Employ statistical methods and machine learning techniques to analyze large datasets, uncover trends, and derive actionable insights.
• Predictive Modeling : Design and develop algorithms that predict outcomes based on historical data, helping to inform strategic business decisions.
• Solution Proposals : Suggest data-driven strategies to address specific business problems, leveraging analytical insights to improve decision-making.
• Collaboration : Work closely with cross-functional teams, including Business and IT, to align data initiatives with organizational goals and ensure technical feasibility.

Requirements

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