Data Scientist | ML

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Requirements:

• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, Scikit-learn, SciPy, OpenCV).
• Familiarity with machine learning/AutoML frameworks (e.g., TensorFlow, Keras, PyTorch, JAX, Auto-Sklearn, Auto-PyTorch).
• Knowledge of data visualization tools (e.g., Power BI, Tableau).
• Proven track record of working with large datasets and developing predictive models.
• Experience with cloud platforms (e.g., AWS, Azure) is a plus.
• Strong problem-solving skills and analytical thinking.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment and with stakeholders.

Responsibilities:

• Perform exploratory data analysis to discover trends, patterns, and insights.
• Process, cleanse, and validate data integrity for analysis.
• Mine data from valuable sources.
• Develop and validate models/algorithms using machine learning techniques.
• Optimize models for accuracy, efficiency, and scalability.
• Collaborate with teams to translate business requirements into data-driven solutions.
• Communicate insights to stakeholders through visualizations, reports, and presentations.
• Stay updated with data science and machine learning advancements.
• Seek opportunities to improve existing processes.