<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications.</p><p><strong>What you will do:</strong> You will work closely with cross-functional teams to understand business needs, collect and clean data, build and evaluate machine learning models, and deploy solutions into production.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Clean and preprocess large datasets.</li><li>Perform feature engineering and selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Deploy models into production environments.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>1-2 years of experience in data science.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with big data technologies such as Spark or Hadoop (preferred).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> You will typically start your day by attending a team meeting, followed by working on data cleaning and preprocessing.  After lunch, you'll focus on model building and evaluation before collaborating with engineers on deployment.</p>