Data Science

<p>Our project, formerly recognized as StartApp, boasts a direct integration network encompassing over 500,000 active monthly mobile apps, offering unparalleled access to global first-party data.</p><p>We are driven by a vision to empower marketers and developers, providing them with effortless solutions that enable informed decision-making, predictive analysis of behaviours, identification of novel opportunities, and the feeling of substantial growth.</p><p>Embrace the opportunity to be part of a dynamic initiative committed to reinventing mobile marketing through an end-to-end platform.</p><p>We are actively seeking talented and passionate individuals to join our team. Your involvement will play a pivotal role in shaping the future of decision-making in the business realm. Come aboard, and let's collectively build success for our customers and partners, contribute to the advancement of our project, and propel your professional and personal aspirations to new heights.</p><h3><strong>Requirements </strong></h3><ul> <li>B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math,  Statistics or other equivalents fields; </li> <li>6 years as Data Scientist - a strong background with ML concepts  and models;</li> <li>Hands-on experience with Python, especially with data science ML  libraries (regression &amp; classification algorithms e.g. XGB or LGBM,  recommendation system algorithms etc.);</li> <li>Understanding of databases and SQL for data retrieval. · Monitoring and alerting tools (e.g. Grafana, Kibana);</li> </ul><p>Advantage</p><ul> <li>Experience with relational (e.g. Vertica, VoltDB) and non-relational  (e.g. MongoDB) databases;</li> <li>Experience with PMML.</li> </ul><p></p><h3><strong>Responsibilities </strong></h3><ul> <li>Analyze large and complex data to discover hidden patterns and  opportunities;</li> <li>Develop and own end-to-end highly scalable data pipelines;</li> <li>Develop state-of-the-art machine learning models, and algorithms and  build solutions in monetization fields;</li> <li>Provisioning data models for real-time (online) processing;</li> <li>Shape new data products, and constantly improve the existing  products;</li> <li>Collaborate with multiple teams including Product, BI, Analysts,  DevOps, R&amp;D, and Marketing to lead and accomplish overall  solutions;</li> <li>Oversee a complete release to production including analyzing requirements, testing, monitoring and measuring results, multitasking and quickly responding to critical issues.</li> </ul><p></p><p></p>