<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 various client projects. </p><p><b>What you will do:</b> You will work with large datasets, build predictive models, and communicate findings to both technical and non-technical audiences.  You will be involved in the entire data science lifecycle, from data collection and cleaning to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with big data technologies like Spark or Hadoop (preferred).</li><li>Strong 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.</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> A typical day might involve working on a specific client project, cleaning and preparing data, building and testing models, or collaborating with other team members.  You might also spend time researching new techniques or presenting your findings to stakeholders. </p>