Data Scientist and AI Developer
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Company Description<br/></strong> <p>AquaSky Spin Off specializes in innovative technological solutions that merge cutting-edge advancements with sustainable development principles. Committed to driving impactful change, the company fosters a dynamic and collaborative environment for professionals to excel. Located in the picturesque city of Innsbruck, AquaSky Spin Off offers opportunities to contribute to meaningful projects and shape the future of technology. By joining AquaSky Spin Off, employees become part of a mission-oriented organization dedicated to creating sustainable solutions for global challenges.<br/></p> <strong>Role Description<br/></strong> <p>This is a full-time, on-site role for a Data Scientist and AI Developer located in Innsbruck. The individual will be responsible for designing and implementing machine learning algorithms, conducting data analysis to derive actionable insights, creating data visualizations, and developing AI-driven solutions. Daily tasks include working closely with cross-functional teams to solve complex problems, refining models, and driving data-driven decision-making processes within the organization.<br/></p> <strong>Qualifications<br/></strong> <ul><li>Proficiency in Data Science, including the design and implementation of machine learning models</li><li>Strong skills in Statistics and advanced Data Analytics to ensure accuracy and reliability of results</li><li>Experience with Data Visualization and tools that make data understandable and actionable</li><li>Capability in Data Analysis for identifying trends and insights to solve business problems</li><li>Strong programming skills in Python, R, or comparable languages used in data science and AI</li><li>Knowledge of AI frameworks such as TensorFlow or PyTorch</li><li>Excellent problem-solving abilities and attention to detail</li><li>Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a closely related field</li><li>Experience with big data technologies or cloud platforms like AWS, Azure, or Google Cloud is a plus</li></ul> </div>