Senior Data Scientist

ppbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Italy. /b As a Senior Data Scientist, you’ll develop and improve machine learning products operating at exceptional global scale. You’ll work with large, complex datasets and models that process billions of ad requests and users in real time. The role spans the full data science lifecycle, from research and experimentation through production deployment and optimization. You’ll collaborate closely with data scientists, analysts, and machine learning engineers to build scalable solutions with measurable business impact. Your work will help optimize customer acquisition, retargeting, and advertising performance across a global technology platform. You’ll have significant opportunities to experiment with new algorithms, data sources, and modeling approaches. Joining a distributed, international team, you’ll contribute to a fast-moving environment focused on innovation, collaboration, and continuous learning. /ppbAccountabilities /b /pulliDevelop, enhance, and optimize machine learning models by introducing new features, tuning parameters, and incorporating additional data sources. /liliCollaborate with Machine Learning Engineers to research, develop, and deploy scalable supervised and unsupervised learning algorithms. /liliExplore new and existing data sources to identify opportunities for improving model performance and creating new data-driven solutions. /liliResearch and evaluate innovative machine learning approaches that can optimize different stages of the product and advertising value chain. /liliDesign, run, and analyze A/B tests to validate hypotheses, measure impact, and continuously improve models and strategies. /liliDevelop solutions capable of handling sparse, high-volume datasets for use cases such as prediction, clustering, and outlier detection. /liliContribute to neural-network-based products supporting classification, regression, and multi-task learning. /liliBuild clean, reproducible, and well-tested code that can reliably move from research environments into production. /liliDevelop and improve monitoring tools and dashboards to track model and system performance. /liliWork collaboratively with analysts, engineers, and other data scientists to translate business and product challenges into practical machine learning solutions. /liliApply an experimentation-driven, impact-focused approach, prioritizing simple and effective solutions over unnecessary complexity. /li /ulpbRequirements /b /pulliAt least 5 years of professional experience developing data science or machine learning products, from initial research through production deployment. /liliStrong programming skills and a commitment to writing clean, maintainable, reproducible, and well-tested code. /liliStrong hands-on experience with Python, Spark, Hadoop, Airflow, Docker, and SQL. /liliProven experience working with algorithms designed for sparse and large-scale datasets, including prediction, clustering, and outlier detection. /liliPractical experience developing neural network-based solutions for classification, regression, multi-task learning, or related applications is highly valuable. /liliKnowledge of reinforcement learning and large-scale optimization is a significant advantage. /liliGood understanding of SQL and dashboards for developing, monitoring, and improving data science and machine learning systems. /liliStrong communication and collaboration skills, with the ability to work effectively alongside data scientists, analysts, and engineering teams. /liliA pragmatic, experimentation-oriented mindset and the ability to focus machine learning work on measurable product and business outcomes. /liliPrevious professional experience in AdTech is required, ideally including exposure to mobile app advertising technology. /li /ulpbBenefits /b /pulliDirect collaboration with founders and the opportunity to make a meaningful impact on products and business direction. /liliStrong opportunities for career development, learning, and professional growth. /liliThe chance to work alongside experienced industry specialists and entrepreneurs in a rapidly evolving technology sector. /liliA diverse, multinational, and distributed team working across Europe, North America, Asia, and other regions. /liliFlexible work-from-home arrangements. /liliOpportunity to relocate to an international office in Berlin. /lili$500 home-office setup budget. /lili$1,000 annual learning and development budget. /li /ulpWe appreciate your interest and wish you the best! /ppWhy Apply Through Jobgether? /ppbData Privacy Notice: /b By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /ppWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr