<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for fraud detection.</p><p><b>What you will do:</b> You will be responsible for collecting, cleaning, and analyzing large datasets to identify patterns and trends. You will also build and deploy machine learning models to improve our fraud detection capabilities.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Collect, clean, and analyze large datasets.</li><li>Identify patterns and trends in data.</li><li>Deploy machine learning models to production.</li><li>Monitor model performance and make improvements.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.</li><li>Experience with Python and R.</li><li>Experience with machine learning algorithms such as logistic regression, decision trees, support vector machines, neural networks.</li><li>Experience with big data technologies such as Hadoop, Spark, or Hive.</li><li>Experience with data visualization tools such as Tableau or Power BI.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> You'll start your day by reviewing the performance of your machine learning models. You'll then work on developing and implementing new models. You'll also collaborate with other data scientists and engineers. You'll end your day by reviewing your progress and planning for the next day.</p>