About the role
<div class="content-intro"><p><strong>Appodeal</strong> is a dynamic US-based product company with a truly global presence.</p> <p>We have offices in <strong>Warsaw, Barcelona and Parkland (FL), </strong>along with remote team members located around the world.</p> <p>Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.</p> <p><strong>Why Appodeal?</strong></p> <p>At Appodeal, we’re more than just a company—we’re a team united by a common mission: <strong>Help people discover and grow their talents through products that enable successful mobile app businesses!</strong></p> <p>We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.</p> <p>Here’s what we value, and what we hope you do too:</p> <ul> <li><strong>Continuous Learning and Growth:</strong> We are passionate about learning, growing personally, and building rewarding careers.</li> <li><strong>Making an Impact:</strong> We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.</li> <li><strong>Solving Exciting Challenges:</strong> We tackle complex problems every day, supported by a team of world-class professionals and mentors.</li> <li><strong>Enjoying the Journey:</strong> We believe in having fun while working toward our goals.</li> </ul></div><p>We are looking for an experienced <strong>Lead Data Scientist </strong>to add to our <strong>Data Science team.</strong></p> <p><strong><br></strong><strong>Responsibilities:</strong></p> <ul> <li>Drive the team’s data science vision and ensure alignment with business goals, focusing on ad-tech and revenue optimization.</li> <li>Guide and support the growth of data scientists, fostering a collaborative and innovative environment.</li> <li>Oversee the development of scalable, high-impact models for ad targeting, bid strategy, and performance analysis.</li> <li>Ensure the efficiency and relevance of data pipelines and models, adapting to the dynamic tech landscape.</li> </ul> <p><br><strong>Technology Stack:</strong></p> <ul> <li>Proficiency in Python and SQL.</li> <li>Experience with manipulation frameworks such as PySpark and Pandas.</li> <li>Skilled at using cloud services such as AWS, etc.</li> <li>Hands-on experience in DNN models training libraries and frameworks (PyTorch, Hydra, comet etc.)</li> </ul> <p><br><strong>Qualifications:</strong></p> <ul> &l