<p><strong>What role you will play in team:</strong> Contribute to our data science team by developing and deploying machine learning models to solve real-world problems. You'll collaborate closely with other data scientists and engineers.</p><p><strong>What you will do:</strong> You will be responsible for the entire data science lifecycle, from data acquisition and cleaning to model development, deployment, and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform data exploration, cleaning, and feature engineering.</li><li>Evaluate model performance and make necessary adjustments.</li><li>Deploy models into production environments.</li><li>Collaborate with engineers to integrate models into existing systems.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent problem-solving and analytical skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and training.</li><li>Flexible work arrangements.</li><li>A positive and collaborative work environment.</li><li>Opportunities to work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> You might spend your day cleaning and preprocessing data, building and testing models, or collaborating with colleagues to improve existing solutions.</p>