<p><strong>What role you will play in team:</strong> You will be a crucial member of our data science team, contributing to complex projects and collaborating with cross-functional teams to deliver impactful insights.</p><p><strong>What you will do:</strong> You will leverage advanced statistical modeling and machine learning techniques to analyze large datasets, build predictive models, and develop data-driven solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms for various business problems.</li><li>Perform exploratory data analysis to identify key trends and insights.</li><li>Build and deploy predictive models to forecast future outcomes.</li><li>Collaborate with stakeholders to define project requirements and deliver impactful results.</li><li>Communicate findings and recommendations effectively to both technical and non-technical audiences.</li><li>Maintain and improve existing data science pipelines and infrastructure.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proven experience in applying machine learning algorithms such as regression, classification, clustering, and deep learning.</li><li>Proficiency in programming languages such as Python or R.</li><li>Strong understanding of statistical modeling and data visualization techniques.</li><li>Excellent communication and presentation skills.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance, Paid Time Off, and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing project progress, collaborating with team members, and analyzing data. You'll spend most of the day building and testing models, and then communicate your findings to stakeholders.</p>