Data Scientist, AI Systems: Make the Scheduling Smarter.At Doodle, we're building the future of scheduling and productivity, tackling complex challenges at the intersection of human collaboration and digital efficiency. We believe in crafting elegant solutions to intricate problems, and we're looking for passionate Data Scientists who share this drive.You're more than an analyst; you're a builder, a problem-solver, and a continuous learner who thrives on applying AI to real-world impact. You'll shape and refine our core AI systems, playing a pivotal role in designing and training models that are accurate, scalable, and resilient. If you're excited by the intricacies of machine learning pipelines, the power of generative AI, and the precision required when working with human time and behavior, you'll find a stimulating environment here.We are DoodleDoodle is the world’s leading scheduling platform, helping millions of people instantly set meetings with clients, colleagues, and teams. Tapping into the unique nature of smart scheduling, Doodle simplifies the planning of 1:1 and group meetings for busy professionals. As the world's most trusted online scheduling platform, Doodle attracts more than 25 million visitors each month. Doodle is headquartered in Zurich, with offices in Belgrade and Berlin and some colleagues working remotely from the US.What You’ll DoYou will be the architect of our intelligent systems, from a data and modeling perspective. You will design, explore, and prototype solutions for complex problems.Explore and implement Retrieval-Augmented Generation (RAG) or Graph RAG approaches to improve the quality of information retrieval and reasoning in LLM workflows. This includes graph construction, entity linking, and hybrid scoring strategies.Contribute to prompt design and continuously evaluate prompt results to ensure model outputs are reliable and aligned with user goals.Design and implement solutions using various neural network architectures beyond LLMs, such as Convolutional Neural Networks (CNNs) for image tasks or Recurrent Neural Networks (RNNs) for sequential data, based on the specific problem.Develop evaluation frameworks for testing model output quality, reliability, and alignment with user goals (e.g., hallucination detection, prompt regression, safety scoring).Contribute to our AI strategy and roadmap, helping shape how we scale the use of models responsibly across the platform. This includes thinking beyond LLMs to select the right neural network architecture for a given task.Prototype and evaluate AI features on platforms like Claude or Amazon Bedrock, with a focus on production readiness.Quantize large models into smaller, more efficient models to enable edge intelligence and on-device processing.What You BringYou're a practical AI builder who thinks in terms of customer value.You have experience designing and evaluating models and are proficient in Python.You understand model behavior and output evaluation.You are familiar with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning.You're comfortable with the full lifecycle of an AI component, from planning and modeling to testing and continuous improvement.Why You’ll Love It HereCompensation & Financial Well-beingCompetitive Pay – We pay fair for top talent.Pension Plan – Set yourself up for the future.Flexible & Hybrid CultureHybrid Work.30 Vacation Days – Take the time you need to rest and recharge.Work-from-Anywhere – Go remote for up to 3 months in the EU and 1 month outside the EU.Learning & Career GrowthTraining/Conference Days – Invest in yourself.Learning Stipend – We cover courses, certifications, and more.Well-being & Home Office SetupWell-being & Home Office Budget – Use it for fitness, therapy, or your dream desk setup.Headspace Membership – Access guided meditation & mindfulness tools.Company Lunches & Team Events – Stay connected, even remotely.Family & Inclusive BenefitsParental Leave & Support – Paid leave for all caregivers.Extra PerksDoodle Premium – Free for you, your family, and friends.Top-Notch Equipment – MacBook, keyboard, trackpad—work at your best.Hiring JourneyInitial Application ReviewPersonality & Strengths Assessment (via BRYQ)Home AssignmentTechnical InterviewMeet the Team/Hiring ManagerCulture Fit ConversationFinal Offer & Next StepsAt Doodle, we’re committed to providing an environment of mutual trust and respect, where equal employment opportunities (EEO) are available to all applicants and teammates without regard to age, race, color, disability, religion, gender, and sexual orientation. Diversity and inclusion are of utmost importance to us. We’re committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work and our products will be. We want to hear from you, so please don’t hesitate to apply!We look forward to receiving your full application.IMPORTANT NOTICE: Please note that we can only consider your application if you are based and have the right to work in the specified countries. At this time, we are unable to sponsor visa for this position or support with relocation. #J-18808-Ljbffr