Intraday Optimization Specialist (24/7 Shift)

Join Bolt as a Senior Data Scientist and lead the design of our next-generation campaign optimization systems! In this pivotal role, you will develop and scale the algorithms that identify target users and determine the most effective incentives, ensuring optimal investment efficiency. If you have a passion for applying Machine Learning and Causal Inference …

idealo’s search team helps millions of users each day find and compare products and prices across many retailers. The group works to improve how customer queries are interpreted and how results are ranked, with the goal of delivering highly relevant matches. Collaboration and ongoing improvement are central to the team’s approach, as they look for new ways to refine the search experience. The team supports over 40 million customers, giving access to more than 2 billion offers on a platform known for fairness and impartiality in B2C e-commerce. Search response times are kept under 100 milliseconds. The team consists of seven colleagues who value autonomy and trust, each contributing their strengths to solve challenges. Both full-time and part-time arrangements are possible for this role. What you will do Work with Product Management, Engineers, and Analysts in a cross-functional setting to improve the customer experience using data-driven insights. Analyze large and complex datasets to uncover patterns, trends, and opportunities, always considering business impact and customer value. Collaborate with Product and other stakeholders to clarify problem statements and turn business needs into clear analytical questions and hypotheses. Design, run, and interpret experiments such as A/B tests, applying causal inference to guide decisions. Contribute to solution design and assess impact, ensuring insights translate into practical actions. Develop dashboards, define KPIs, and track performance to make progress visible and measurable. Identify where data can add value and highlight areas where more data or improved tracking is needed.

About the Role almedia is looking for a Founding Data Scientist to help define and build its data strategy in Berlin. This early team member will work directly with leadership to turn complex datasets into actionable insights and shape the direction of product development. What You Will Do Analyze and interpret large, varied datasets to inform business and product decisions Collaborate closely with founders and engineers to design data-driven features Develop models and tools that improve and expand company offerings Who Will Succeed Enjoys the challenges and pace of an early-stage startup Brings hands-on experience in data science and a drive to see ideas through from concept to impact Wants to play a key role in building something new from the ground up This is a chance to have a direct influence on almedia’s future and set the foundation for a data-driven culture.

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.

Join our team at billie as a Senior Data Scientist, where you will leverage your expertise in data analysis and machine learning to drive innovative solutions. You will work closely with cross-functional teams to develop data-driven strategies that enhance business performance. Your role will involve designing and implementing robust data models, analyzing complex datasets, and presenting actionable insights to stakeholders.

Join our dynamic Ads & Monetization team as a Senior Data Scientist, where you'll play a pivotal role in developing advanced ranking, pricing, and bidding systems for our advertising platform. If you're passionate about harnessing machine learning to tackle marketplace monetization challenges across Bolt's extensive user base of over 200 million, we invite you to contribute your expertise to impactful projects.With a presence in more than 50 countries, Bolt is among the fastest-growing tech companies in Europe and Africa, driven by the talent and dedication of our remarkable team. We are committed to fostering an inclusive environment that welcomes diversity in all its forms, including race, color, religion, gender identity, sexual orientation, national origin, age, or ability. Our mission is to create cities designed for people, not cars, and we need your help to achieve this vision!As the first dedicated Data Scientist for Ads & Monetization, you will lead the data science roadmap, creating automated pricing and bidding engines that maximize value for both advertisers and users while integrating sponsored content into our existing machine learning ranking systems.

GetYourGuide helps travelers discover and book memorable experiences around the world. The company’s platform is trusted by millions seeking unique activities, with a mission to make every trip more rewarding. The Berlin office serves as a hub, with additional locations in New York and Bangkok. For more about working at GetYourGuide, visit getyourguide.careers. Team focus: Growth Data Products The Growth Data Products team transforms raw marketing data into reliable insights and automated systems. Their work supports all growth channels, such as paid and organic search, display advertising, CRM and lifecycle marketing, brand marketing, marketing attribution, experimentation, and customer lifetime value measurement. By delivering actionable intelligence, the team empowers others at GetYourGuide to make quick, informed decisions in support of the company’s mission. What you will do Lead data product projects from concept and data validation through deployment, automated triggering, and monitoring. Evaluate business impact versus technical complexity, choosing between machine learning or simpler approaches as appropriate. Write scalable, well-documented, and unit-tested Python code, optimizing queries and performance through caching and parallelization. Conduct deep analyses, design A/B tests, and create visualizations to inform product strategy and communicate results to stakeholders. Establish monitoring and alerts for key metrics, responding quickly to anomalies to maintain system reliability and service goals. Contribute to team growth by participating in code reviews, sharing knowledge, and shaping the technical roadmap and operational practices. Requirements Practical experience in data analytics, machine learning, and programming, with a strong focus on Python.

Billie builds Buy Now, Pay Later (BNPL) solutions designed for B2B companies. The team aims to make business transactions simpler and more efficient, using proprietary machine learning risk models, digitized operations, and a scalable technology platform. Billie positions itself as a deep-tech company focused on seamless financial products for business clients. Role Overview The (Senior) Data Scientist for Fraud Prevention joins the Decision Science group in Berlin. This role centers on designing and deploying machine learning models to reduce fraud risk, directly supporting Billie's profitability. The work spans the full modeling lifecycle, from hypothesis testing to rolling out production models that analyze debtor behavior and spot new fraud patterns. What You Will Do Develop and execute anti-fraud strategies, setting priorities to deliver high-quality, production-ready models. Apply expertise in quantitative analysis, data mining, and advanced machine learning to model debtor behavior, assess risk, and refine Billie's real-time decision engine. Work closely with data engineers, software engineers, analysts, and product managers to improve decision logic and bring in new data sources. Lead the deployment and operationalization of machine learning services, collaborating with Engineering to define infrastructure needs such as containerization and event-driven systems. Mentor junior team members, supporting a culture of technical rigor, experimentation, and strong coding standards. Translate technical findings into clear, actionable insights for stakeholders, using data storytelling to influence business decisions.

Join JustWatch as a Senior Campaign Manager, where you will play a pivotal role in shaping our marketing strategies to elevate brand awareness and drive user engagement. Your expertise in managing high-impact campaigns will be crucial as you collaborate with cross-functional teams to optimize performance and achieve our business objectives.

At Enpal, we are more than just a company; we are a pioneering movement. As a prominent greentech unicorn and one of Europe’s fastest-growing energy providers, our mission is to make solar energy accessible and simple for homeowners throughout the continent. Our forward-thinking business model for solar panels, heat pumps, home energy storage solutions, and EV charging stations is transforming the residential energy landscape. We empower homeowners to adopt clean energy, setting the stage for a sustainable and decentralized energy future.As the foremost leader in residential solar, Enpal is advancing its next venture: Enpal Energy, our platform designed for the management, optimization, and orchestration of millions of distributed energy assets. This includes the development of Europe’s largest Virtual Power Plant (VPP), which connects solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and create new revenue opportunities for our customers.We envision a bold future: to be the cornerstone of Europe’s shift towards distributed, intelligent, and clean energy generation.We are in search of a Data Scientist to enhance our expanding Energy Data Science team. Your contributions will directly influence energy trading decisions within one of Europe's largest residential energy communities, having a tangible impact on our participation in the energy market. This role is tailored for a proactive data scientist with robust software engineering skills and experience across the entire data and ML stack.Key ResponsibilitiesDevelop, research, and implement time series forecasting models for energy markets (including load, generation, and weather forecasting), managing the complete lifecycle from data exploration and feature engineering to model training, evaluation, deployment, monitoring, and retraining.Enhance our MLOps infrastructure by contributing to experiment tracking, model versioning, automated retraining pipelines, and production observability.Effectively communicate forecasting performance and model insights to trading and product stakeholders, bridging the gap between technical results and business impact.Collaborate intimately with Data Engineers, Software Engineers, and Product teams to produce well-engineered, reliable data science solutions.Play a pivotal role in shaping our data science roadmap and contribute to innovative forecasting methodologies.Guide and mentor junior data scientists, fostering a collaborative learning environment.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

At Almedia, we are redefining the landscape of marketing and user engagement. As one of Europe’s fastest-growing companies, we are on a mission to become Germany’s second bootstrapped unicorn. Our innovative platform rewards a community of over 60 million users for interacting with our advertisers’ products, creating a unique ecosystem for user acquisition.We are seeking talented Data Scientists to join our dynamic team in Berlin, where you will play a crucial role in enhancing our product and data capabilities.In this high-impact position, you will leverage your expertise in hands-on modeling and cross-functional leadership to enable us to better understand user behaviors, optimize incentive structures, and lay the groundwork for scalable, data-driven decision-making.

Transform the Travel ExperienceBecome a part of the GetYourGuide mission to redefine how people explore the world. With millions relying on us for trustworthy and unique travel activities, we are committed to ensuring that every journey is remarkable — including yours!Are you ready to elevate your career amongst a community of passionate adventurers? Explore your next opportunity at our Berlin headquarters or in one of our offices worldwide, from New York to Bangkok. Start your journey at getyourguide.careers.Team PurposeThe Growth Data Products (GDP) team powers GetYourGuide's growth by converting raw marketing data into actionable insights and automated decision-making systems. Our initiatives encompass diverse growth channels including Paid and Organic Search, Display Advertising, CRM, Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value analysis. We enable teams across the organization to make informed decisions swiftly and at scale, transforming data into intelligence that connects millions with unforgettable travel experiences.Your RoleLead the definition, development, and ownership of data products that drive significant revenue across all GDP sectors.Convert growth strategies into actionable technical roadmaps, ensuring alignment among multiple teams and stakeholders around clear business outcomes.Design, implement, and oversee production-level machine learning pipelines using Python and Databricks to enhance bidding, targeting, and personalization strategies.Elevate technical standards by establishing best practices, code quality benchmarks, and robust observability within the data science and engineering teams.Promote a culture of experimentation through A/B testing design, causal-inference analysis, and frameworks for rapid iteration.Enhance customer lifetime value and attribution models to inform multi-million euro marketing investments.Facilitate cross-functional collaboration to ensure that data products deliver measurable business value and strategic impact.Your SkillsetDemonstrated experience as a Staff or Principal Data Scientist (or equivalent) with a track record of delivering cross-functional products that yield substantial business results.Expertise in market growth and marketing analytics with a strong understanding of customer acquisition and revenue optimization.Proficiency in Python, SQL, and modern big data technologies.

Join our dynamic team as a Senior Data Scientist specializing in Search Engine technologies. This role is pivotal in enhancing our search capabilities, using advanced analytics and machine learning to drive user engagement and optimize search results.You will collaborate with cross-functional teams to design and implement innovative solutions that enhance our product offerings. Your expertise will be crucial in analyzing large datasets and deriving actionable insights to improve overall performance.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

About zenjob zenjob connects companies with temporary workers through an AI-powered staffing platform. Since 2015, zenjob has helped businesses instantly book staff and enabled students to find part-time jobs that fit their academic schedules. The platform serves over 40,000 students and 1,000 partner companies in logistics, retail, and hospitality across major German cities. The team believes that advanced technology and genuine commitment lead to great work. Role Overview: Data Scientist The Data Scientist will analyze and optimize marketplace performance while uncovering talent behavior from first engagement through long-term retention. This role sits within a centralized Analytics & Data Science team, working closely with Marketing, Sales, Product & Engineering, and Operations. The main goal: define clear metrics, build reliable data models, and turn complex analysis into business decisions that drive results. Main Focus Areas Marketing Effectiveness: Study the impact of different channels and campaigns on growth. Talent Lifecycle: Explore user behavior from acquisition and activation to retention and lifetime value. Marketplace Performance: Examine how supply and demand interact on the platform. Your Responsibilities Define and maintain key metrics across the marketplace and user lifecycle, using reliable dbt models trusted by all teams. Build self-service dashboards, reporting layers, and playbooks that make data more accessible and actionable for internal teams. Develop attribution and measurement models (such as multi-touch attribution, data-driven attribution, and Marketing Mix Models) to assess channel effectiveness in acquisition and engagement. Model talent behavior with a focus on conversion, retention, and Customer Lifetime Value to support sustainable marketplace growth. Design and evaluate experiments (including A/B tests and incrementality tests) to measure the causal impact of marketing and product changes.

Join our innovative team at billie as a Data Scientist (w/m/d) in the vibrant city of Berlin. We are seeking a data-driven individual who is passionate about leveraging data to drive business decisions and improve outcomes. This role involves analyzing complex data sets, building predictive models, and collaborating with cross-functional teams to enhance our product offerings.

Join Almedia, a cutting-edge company reshaping the marketing landscape and striving to become Germany's next bootstrapped unicorn. Recognized as Europe's third fastest-growing company in 2025 (FT1000), we provide an exceptional environment for ambitious professionals to accelerate their careers.Our innovative platform rewards a vibrant community of over 60 million users for their engagement with top-tier products from global advertisers, presenting a unique opportunity to redefine user acquisition strategies.We are seeking a Creative Data Scientist, specializing in marketing creatives and user acquisition, to leverage data science, advanced statistical techniques, and A/B testing methodologies. Your contributions will directly influence our paid growth performance through deep analysis and optimization of ad creatives.This role is hands-on, grounded in real-time experimentation and measurable outcomes.

At Lever, founded eight years ago, we address one of the most critical challenges faced by organizations: recruiting and hiring exceptional talent. Our mission is to develop the next generation of hiring software, trusted by industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify to enhance their teams. We have revolutionized the talent acquisition landscape and are proud to be at the forefront of innovation in our field, seeking outstanding individuals to join our journey as we expand. We take great pride in what we’ve accomplished so far, being honored as the #1 workplace in San Francisco and recognized among the top employers across the United States. Our greatest asset is our people; we are committed to investing in our 'Leveroos' and fostering a culture that prioritizes our team members. Join us as a Data Scientist!

Join our innovative AdTech data science team as a Principal Data Scientist focused on Vendor Recommendations and AI, and help us enhance customer experiences.At Delivery Hero, you will play a crucial role in supporting the success of numerous restaurants, shops, and local businesses. Your insights will enable vendors to harness advanced tools for operational management, enhancing their visibility and market reach. Each feature you contribute to will create growth opportunities for diverse businesses, fortifying Delivery Hero’s ecosystem.Our AdTech division connects consumers with new culinary delights while allowing our partners to engage potential customers at the right moment. We have crafted a suite of products that deliver advertising solutions to restaurants, aiding them in boosting visibility, improving order conversion, and ultimately driving increased sales across the marketing funnel. Operating in over 50 countries, our AdTech connects ideal advertisers with their target customers millions of times daily. The data science team is pivotal in this growth, enhancing personalization, ranking, relevance, and recommendations.Ownership: Spearhead the design, construction, and deployment of comprehensive AI recommendation systems that yield multi-million-euro business results for the vendor sector.NBA Framework: Manage the architecture and modeling to establish the best sequence and timing of actions (e.g., ad recommendations, promotional offers) to optimize vendor success metrics.Time-Series & Forecasting: Direct vital initiatives in advanced time series modeling for demand forecasting, vendor projections, and analyzing long-term vendor trends.Commercial Insights: Serve as the technical authority for take rate optimization, utilizing statistical rigor and causal methodologies to evaluate the impact and efficiency of vendor-facing pricing and ad tech strategies.Cross-Functional Collaboration: Be the lead technical partner for Product, Engineering, and Commercial teams to validate business hypotheses and align on the recommendations strategy.