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Job Description
What role you will play in team: You will be a key member of our growing data science team, contributing to the development and implementation of machine learning models for fraud detection.
What you will do: You will work closely with senior data scientists to design, build, and deploy these models, focusing on improving model accuracy and efficiency.
Key responsibility:
- Develop and implement machine learning models for fraud detection using Python and related libraries.
- Clean and preprocess large datasets using SQL and other tools.
- Evaluate model performance and identify areas for improvement.
- Collaborate with other team members to ensure smooth integration of models into production systems.
- Document code and models thoroughly.
- Stay up-to-date on the latest advances in machine learning.
Required Qualification and Skills:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in Python and relevant libraries (scikit-learn, pandas, numpy).
- Experience with SQL and database management.
- Understanding of machine learning algorithms and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.
Benefits Included:
- Competitive salary and benefits package
- Opportunities for professional development and growth
- Collaborative and supportive work environment
- Flexible work arrangements
A Day in the Life: A typical day might involve data cleaning, model training, performance evaluation, and collaboration with team members.
Skills
PythonSQLScikit-learnPandasNumpyMachine LearningData CleaningModel DeploymentIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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