Senior Data Science

<p><em></em><em><strong>This is us</strong><br/><br/></em>At Qinshift and Avenga we are merging together to start a new era of technology that matter. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.<br/></p><p><br/><em><strong><br/>This is you</strong></em></p><ul> <li>Minimum 5 years hands-on industry experience with ML, AI, MLOps or data science projects</li> </ul><ul> <li><strong>Fluent in Python </strong>and in using common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/opencv, etc.) </li> </ul><ul> <li>Expert and up-to-date knowledge of supervised and unsupervised machine learning techniques</li> </ul><ul> <li>Familiar with MLOps frameworks, machine learning model deployment formats as well as cloud based ML pipelines</li> </ul><ul> <li>Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git and Azure DevOps </li> </ul><p><br/></p><ul> </ul><p><em><strong>This is your role</strong></em></p><ul> <li>Data analysis: Collect, clean, and analyze large datasets to identify patterns and trends </li> </ul><ul> <li>Modeling: Develop predictive models and algorithms to solve complex business problems, whose solutions could stem from a variety of ML fields </li> </ul><ul> <li>Communication: Communicate findings and insights to stakeholders in a clear and concise manner, gather requirements on further adoptions and future work. </li> </ul><ul> <li>Converting data into insights </li> </ul><p><br/></p><p><br/>W<em>e take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength</em>.</p><ul> </ul>