<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 collaborate with cross-functional teams to understand business needs, collect and analyze data, and build and deploy machine learning models.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms and techniques.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and make improvements.</li><li>Deploy models into production environments.</li><li>Collaborate with engineers and product managers to integrate models into applications.</li><li>Communicate results and findings to both technical and non-technical audiences.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>1-2 years of experience in data science or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</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>Flexible work arrangements.</li><li>Health insurance, paid time off</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day collaborating with your team on projects, building and refining models, and presenting your findings to stakeholders.  You’ll also have time for self-learning and exploring new technologies. </p>