<p><strong>What role you will play in team:</strong> You will be part of a dynamic team working on cutting-edge projects, contributing your expertise in data analysis and machine learning to solve complex business problems.  You'll collaborate closely with other data scientists, engineers, and business stakeholders to deliver impactful results.</p><p><strong>What you will do:</strong> You will be responsible for collecting, cleaning, and analyzing large datasets. You'll build and deploy machine learning models to generate actionable insights and support business decision-making. You'll also communicate findings effectively to both technical and non-technical audiences.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms and models.</li><li>Perform data cleaning, transformation, and feature engineering.</li><li>Conduct statistical analysis and interpret results.</li><li>Collaborate with cross-functional teams to gather requirements and define project scope.</li><li>Communicate findings and recommendations to stakeholders effectively.</li><li>Stay updated on the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in programming languages such as Python or R.</li><li>Experience with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark) 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 career growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance, paid time off, and other employee benefits.</li><li>Work from home option for eligible candidates.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with the team on a specific project, cleaning and preparing data, building and evaluating models, and communicating your findings to other team members.</p>