<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 business applications.</p><p><b>What you will do:</b> You'll work with large datasets, develop algorithms, and present your findings to stakeholders.  You will collaborate with other data scientists and engineers to build robust and scalable solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve complex business problems.</li><li>Cleanse and prepare large datasets for analysis and modeling.</li><li>Evaluate and improve model performance.</li><li>Collaborate with cross-functional teams to integrate models into production systems.</li><li>Communicate technical findings to non-technical stakeholders.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</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 programming language.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</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.</li><li>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 will start your day with a team meeting discussing current projects, then spend the majority of the day coding and analyzing data.  You might present your findings in an afternoon meeting before collaborating with engineers on implementation.</p>