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Senior Data Scientist Machine Learning Expert
2 months ago
We are seeking a highly skilled Senior Data Scientist Machine Learning Expert to join our team at G42. As a key member of our data science team, you will play a critical role in developing and implementing AI solutions that drive business growth and success.
Key Responsibilities- Business Intelligence and Strategy
- Develop and maintain a deep understanding of our business objectives and develop AI solutions that align with our strategic goals.
- Design and implement metrics to track the progress and success of our AI initiatives.
- Data Preparation and Analysis
- Prepare, clean, and preprocess large datasets for analysis.
- Analyze data quality and proactively identify and address any issues that may impact the accuracy of our models.
- Model Development and Deployment
- Develop and train data-driven algorithms for clustering, classification, regression, and optimization.
- Deploy and manage AI models in production, ensuring seamless integration with our existing systems.
- Model Evaluation and Maintenance
- Evaluate the performance of our AI models and identify areas for improvement.
- Maintain and enhance existing solutions to meet evolving business needs.
- Communication and Collaboration
- Communicate complex technical concepts and results to both technical and non-technical stakeholders.
- Collaborate with data scientists, data engineers, and software engineers to develop and implement production-ready AI solutions.
- PhD or Master's degree in Computer Science, Data Science, or a related field.
- Minimum 5 years of experience in data science, machine learning, or a related field.
- Proven track record of developing and deploying AI solutions that drive business value.
- Excellent communication and collaboration skills.
- Strong understanding of data science concepts, including machine learning, deep learning, and natural language processing.
- A competitive salary and benefits package.
- The opportunity to work with a talented team of data scientists and engineers.
- Access to cutting-edge technology and tools.
- Professional development opportunities.