Data Scientist

Key Responsibilities:

• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Analyze large datasets to identify patterns, trends, and insights.
• Support the development and validation of predictive models and machine learning algorithms.
• Visualize data using tools like Power BI, Tableau, or Matplotlib/Seaborn.
• Assist in designing and implementing data pipelines and workflows.
• Work closely with cross-functional teams to translate business requirements into data-driven solutions.
• Document code, processes, and findings clearly and accurately.
• Stay up to date with the latest trends and technologies in data science and analytics.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in Python or R for data analysis and modeling.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and basic machine learning frameworks (e.g., scikit-learn, TensorFlow).
• Basic understanding of statistics, probability, and data modeling concepts.
• Experience with SQL and working with databases.
• Good communication skills and the ability to explain complex findings to non-technical stakeholders.
• Fresh graduates with strong technical skills and relevant project experience are encouraged to apply.