<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 data cleaning, feature engineering, model training, and evaluation.  You will work closely with other data scientists and engineers to deploy models into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Clean and preprocess large datasets.</li><li>Engineer features for machine learning models.</li><li>Train and evaluate machine learning models.</li><li>Deploy models into production.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>1+ years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with data visualization tools such as Matplotlib or Seaborn.</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>Work from home options.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve data cleaning, feature engineering, model training, and evaluation. You will also collaborate with other data scientists and engineers to deploy models into production.</p>