Data Scientist
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Job Description
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About the job
We are seeking a talented and experienced Mid-Senior Level Data Scientist to develop Machine learning systems, leveraging advanced analytics and machine learning techniques to enhance our financial operations.
Key Responsibilities:
1- Design and develop end-to-end systems, from data ingestion to model deployment, ensuring scalability, reliability, and efficiency.
2- Collaborate with data engineering team to ensure seamless integration of data sources, implement robust ETL processes, and maintain data quality throughout the system.
3- Implement automation processes to streamline repetitive tasks, enabling efficient data processing and model retraining.
4- Optimize models and algorithms for scalability, considering the growth and evolving needs of the financial company.
5- Establish monitoring mechanisms for deployed models, ensuring ongoing performance and reliability.
Job Requirements:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
- 2-3 years of extensive experience in building predictive machine learning models and AI models.
- Advanced domain of data analysis and data visualization tools and software such as Excel, SQL, PSQL, Tableau, Power Bi.
- Strong programming skills in python language.
- A strong knowledge of databases, big data management systems (like Spark) and analyzing large datasets to identify patterns, trends, and insights.
- Researching, developing, and implementing new statistical learning models and toolkits, such as scikit-learn, TensorFlow, and/or PyTorch or other mathematical methodologies as needed for specific models or analysis.
- Experience with Deep Learning including but not limited to: CNN, LSTM, RNN, ANN on CPUs AND GPU
Employment Type
Full Time
