Mathematics, Statistics & Information Sciences

<p>Our client is looking for a Data Scientist to join their team.</p><p><strong>Position Responsibilities:</strong></p><ul><li>Deliver actionable analytics and insights to drive business transformation across operations, service delivery, customer management, and sales.</li><li>Combine mathematical rigor with innovative algorithms to extract business value from data.</li><li>Collaborate with stakeholders to develop and implement data science solutions that meet evolving business needs.</li><li>Lead use cases to ensure business objectives are met and value is delivered.</li></ul><p><strong>Key Responsibilities:</strong></p><p>1. Model Development and Deployment:</p><p>Design, develop, and deploy models from MVP to production, ensuring continuous support and adaptation to changing business needs.</p><p>2. Advanced Analytics and Machine Learning:</p><p>Provide expert analytics, including machine learning and statistical modeling, to solve business problems and optimize outcomes.</p><p>3. Stakeholder Collaboration:</p><p>Partner with business teams to translate business challenges into quantitative solutions and communicate effectively across technical and non-technical audiences.</p><p>4. Performance Monitoring and Improvement:</p><p>Monitor model performance in production and initiate improvements to ensure sustained business value.</p><p><strong>Requirements:</strong></p><ul><li>Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related fields.</li><li>5-6 years of experience deploying models to production and maintaining them to meet changing business needs.</li><li>Strong skills in Python, R, Spark, and big data tools.</li><li>Experience with AWS and data visualization tools (e.g., Alteryx, PowerBI) is a plus.</li><li>Candidate with less experience will be considered as Junior Data Scientist</li></ul>