Data Scientist

Job Description

Position Overview

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We are seeking a Data Scientist to leverage data, statistical analysis, and machine learning techniques to identify business opportunities, solve complex problems, and drive data-informed decision-making. This individual will work closely with cross-functional teams to develop predictive models, uncover trends, and translate complex datasets into actionable business insights.

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Key Responsibilities

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• Collect, clean, process, and analyze large datasets from multiple sources.

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• Develop and implement statistical models and machine learning algorithms to solve business problems.

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• Identify trends, patterns, and insights to support strategic business decisions.

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• Build, test, and optimize predictive models and analytical solutions.

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• Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.

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• Develop dashboards, reports, and visualizations to communicate findings to stakeholders.

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• Monitor model performance, validate results, and continuously improve analytical solutions.

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• Present complex technical findings in a clear and actionable manner to both technical and non-technical audiences.

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Required Qualifications

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• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

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• Experience working with Python and/or R for data analysis and modeling.

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• Strong SQL skills and experience working with relational databases.

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• Knowledge of statistical analysis, machine learning, and predictive modeling techniques.

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• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.

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• Strong analytical, problem-solving, and critical-thinking skills.

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• Excellent communication and collaboration abilities.

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Preferred Qualifications

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• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

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• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

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• Experience working with large datasets and data processing frameworks.

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• Knowledge of data pipelines, ETL processes, and data engineering concepts.

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• Experience deploying machine learning models into production environments.

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Core Competencies

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• Statistical Modeling & Predictive Analytics

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• Machine Learning & AI

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• Python / R / SQL

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• Data Visualization & Reporting

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• Data Mining & Data Manipulation

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• Business Intelligence

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• Problem Solving & Critical Thinking

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