Data scientist

Job Description:

Role Summary:

A data scientist collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, communication skills to interpret data and influence decision-making.

Key Responsibilities:

• Gather data from multiple sources and prepare it for analysis.
• Analyze large volumes of structured and unstructured data to identify trends and patterns.
• Develop machine learning models and predictive algorithms to solve business problems.
• Use statistical techniques to validate findings and ensure accuracy.
• Automate processes using AI tools and programming.
• Create clear, engaging visualizations and reports to communicate results.
• Work closely with different teams to apply data-driven insights.
• Stay updated with the latest tools, technologies, and methods in data science.

Tools and Technologies:

• Programming languages: Python, R, SQL.
• Data visualization: Tableau, Power BI, matplotlib.
• Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch.
• Big data platforms: Apache Hadoop, Spark.
• Cloud platforms: AWS, Azure, Google Cloud.
• Statistical tools: SAS, SPSS.

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