Data Scientist
About this role
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Skills you'll use
What you'll do
- Develop a deep understanding of business challenges and translate them into effective analytical solutions.
- Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives.
- Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making.
- Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated.
- Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques.
- Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization.
- Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics.
- ISMS roles and responsibilities:
- Fair understanding of Information Security practices.
- Align to the organization policies and procedures.
Who can apply
- Align to the organization policies and procedures.
- Ensure to get updated with ISMS roles as assigned by the department/process heads.
- 4+ years of hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets.
- Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.
- Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.
- Ability to integrate multiple data sources into streamlined, scalable pipelines and work with unstructured data (text, images) to transform it into clean, structured formats.
- Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.
- Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.
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