<p><b>What role you will play in team:</b>  You'll be a key member of a growing data science team, contributing to the development and implementation of machine learning models.</p><p><b>What you will do:</b> You will work on real-world problems, using your skills to build and deploy models that improve business outcomes.</p><p><b>Key responsibility:</b><ul><li>Build and deploy machine learning models.</li><li>Clean and prepare data for model development.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other data scientists and engineers.</li><li>Document your work and communicate your findings.</li><li>Stay current with the latest advances in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field.</li><li>Experience with Python and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</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> You'll spend your day working on data cleaning, model building, and evaluation. Collaboration with your team is a big part of the daily workflow.</p>