<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 our clients. </p><p><b>What you will do:</b> You will work with large datasets, build predictive models, and present your findings to both technical and non-technical audiences.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and various libraries (Scikit-learn, TensorFlow, PyTorch).</li><li>Clean, transform and prepare data for modeling.</li><li>Conduct statistical analysis and interpret results.</li><li>Collaborate with other data scientists and engineers.</li><li>Present findings to clients and stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Experience with Python and relevant libraries (Scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Seaborn).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A 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 data, collaborating with your team and building a model. Then you might spend the afternoon fine-tuning your model and presenting your findings.</p>