What you'll do: You will develop and optimize machine learning models, translate business needs into advanced analytics, and drive data-driven solutions to improve trivago’s product and marketing strategies.

What you'll do: You will analyze data, support business decisions, enhance fraud and risk systems, and drive company growth through data-driven strategies.

What you'll do: You will analyze user behavior, support A/B testing, develop KPIs, communicate insights, and drive data-informed product decisions.

What you'll do: You will work on designing data-intensive systems at scale.

What you'll do: You will develop and deploy machine learning models for customer service, collaborate with teams, and solve large-scale data challenges.

What you'll do: You will develop and innovate generative AI technologies using large language models and multimodal systems to enhance conversational AI.

What you'll do: You will develop and optimize machine learning models for delivery times, collaborate with cross-functional teams, and mentor data scientists.

What you'll do: You will design and build ML models for SEO workflows, including data analysis, optimization, API integration, and custom client solutions.

What you'll do: You will monitor, measure and analyse the effectiveness of your marketing teams’ initiatives, as well as help drive the strategy of your stakeholder teams.

What you'll do: You will focus mostly on helping optimize our Paid Search operations and scaling investments towards the most incremental and loyal customers.

What you'll do: You will design and manage ETL/ELT pipelines, create technical documentation, develop reports and dashboards, and ensure data quality across mobile.de.

What you'll do: You will harness your backend expertise to enhance our audience-building platform, transforming vast data into actionable insights and innovative features.

What you'll do: You will work on optimising inventory distribution to managing demand spikes during sales campaigns, impacting key business strategies, improving delivery speed, cost efficiency, and customer satisfaction.

What you'll do: You will work on developing co-pilot tools for support associates, AI assistants for the customers with the latest AI technologies and on more traditional machine learning and optimization problems.

What you'll do: You will drive decision-making by developing machine learning models, conducting complex data analysis, and collaborating with cross-functional teams.

What you'll do: You will enhance Doctolib’s phone assistant by improving speech-to-text accuracy through fine-tuning while ensuring low latency.

What you'll do: You will shape data vision, translate business needs, define KPIs, and provide analytical support for optimizations.

What you'll do: You will collaborate primarily with the Supply Tech Team to improve supplier engagement and, in turn increase the inventory available on the marketplace for the travellers.

What you'll do: You will be responsible for the data infrastructure and data security in Taxfix.

What you'll do: You will lead the transition to a high-performance data platform, optimizing operations and supporting key stakeholders.

What you'll do: You will analyze and preprocess related data pools, develop and validate your models, embed them in production-ready microservices and integrate them autonomously into the existing product and software platform.

What you'll do: You will research and implement text modeling techniques throughout the full toolkit of NLP, from simple regular expressions to state-of-the art architectures, like transformers or various established LLMs.

What you'll do: You will develop and enhance Amazon's interactive conversational search experience, leveraging LLM innovations to transform online shopping into a personalized journey.

What you'll do: You will develop and deploy Deep Learning algorithmic based solutions to help customers make sense out of confusing sizing systems.

What you'll do: You will perform in-depth portfolio analysis to develop a deep understanding of business processes and product, and to support risk optimisation.

What you'll do: You will design and implement end-to-end data pipelines, ensuring data quality, consistency, and availability.

What you'll do: You will leverage your expertise in anomaly detection, causal inference, and LLM to develop cutting-edge AI solutions that power Zalando's customer experience intelligence hub.

What you'll do: You will be conducting cutting-edge research to enhance algorithmic performance, gaining a deep understanding of warehouse operations to identify and address optimization opportunities.

What you'll do: You will work with Customer Success team to define and evaluate impactful retention, acquisition, and growth campaigns.

What you'll do: You will use data-insights to find opportunities for the new product features.

What you'll do: You will investigate user behavior and product performance.

What you'll do: You will take the responsibility of developing machine learning solutions for our multiple KPI, timescale and time granularity forecasting problems.

What you'll do: You will lead the development of advanced credit risk models for Klarna Card.

What you'll do: You will work on processing of financial transactions and explore and analyze high volumes of data in order to quantify and answer questions to improve business performance.

What you'll do: You will discover new product opportunities, validate hypotheses, and launch valuable features to the users.

What you'll do: You will be tasked with developing and improving internal tools and products that are associated with advertising systems.

What you'll do: You will play a pivotal role in transforming Zalando's supply chain by enhancing customer experience, and addressing complex and critical challenges.

What you'll do: You will be focusing on supporting your communication platform product team stakeholders which supports global CRM communications in HelloFresh in their decision making.

What you'll do: You will prepare analyses, derive recommendations, and produce documentation for top management.

What you'll do: You will proactively address complex challenges, enhance data infrastructure, collaborate with cross-functional teams, and ensure data quality and seamless integration into Zalando's central platform.

What you'll do: You will develop ML models and optimization algorithms that provide recommendations on various trade-off use cases.

What you'll do: You will Build systems which steer sponsored content visibility on Zalando.

What you'll do: You will develop the algorithms powering personalised recommendations.

What you'll do: You will own end to end the analytics part on multiple projects for the Vendor management team.

What you'll do: You will develop and utilize analytical tools, experimental frameworks, and statistical models to enhance marketing performance.

What you'll do: You will implement scalable data engineering features for A/B testing and marketing attribution.

What you'll do: You will collaborate closely with our auction experts from AUTOproff, Denmark, and apply your expertise in image, text or tabular data to help build the next generation C2B marketplace for Europe.

What you'll do: You will lead the design, implementation, and delivery of BI solutions in the complex and ambiguous problem space that is Deals.

What you'll do: You will design, implement, and operate high-scale data processing pipelines that support the communications platform and message types such as email, SMS, and push notifications.

What you'll do: You will architect novel machine learning solutions that delight customers with personalized music experiences tailored just for them.

What you'll do: You will be working on proactively preventing, detecting, and halting any form of exploitation aimed at the products.

What you'll do: You will be working on topics like support chat, operational tooling for support agents, and self-service and automation.

What you'll do: You will play a pivotal role in shaping analytics data infrastructure, enabling the development of customer-facing data products and driving analytical insights.

What you'll do: You will design, build, and own core data table, implement and optimize scalable data pipelines.

What you'll do: You will develop and implement advanced machine learning models for menu digitisation services, vendor acquisition strategies, and competitive intelligence insights platform.

What you'll do: You will develop and automate forecasting models to plan the capacity of the support centers across different locations.

What you'll do: You will draw data architecture, processes and be responsible for end-to-end data pipelines, enabling machine learning and analytics.

What you'll do: You will lead strategic business decisions by developing and providing data analysis.

What you'll do: You will own and enhance data infrastructure, optimize data pipelines, and empower stakeholders with reliable data.

What you'll do: You will provide important insights that help shape our Digital Product and Commercial strategie.

What you'll do: You will work on developing the data ecosystem, data process processes and analytics capabilities, product events tracking, AB experiments framework and large-scale applied machine learning.

What you'll do: You will work with large-scale batch processing, data warehouses, ETL, data analysis and data observability.

What you'll do: You will design and build ETL or ELT data pipelines that handle the tribe-wide analytics requirements.

What you'll do: You will bring all existing Alexa features and beyond to LLM empowered Alexa.

What you'll do: You will build systems which steer content visibility on Zalando; shape and manage what Zalando end customers will see; directly increase engagement and retention.

What you'll do: You will analyze and scale the machine learning models and deliver meaningful insights to your team and various stakeholders across the business, directly shaping the product roadmap.

What you'll do: You will work on diverse business initiatives, leveraging massive amounts of data to support various downstream functions.

What you'll do: You will design and implement new products/features to expand our platform capabilities for operations functions, as well as work with LLMs.

What you'll do: You will be designing high-scale data processing pipelines that support communications platform and message types such as email, SMS, and push notifications.

What you'll do: You will be providing insights to optimize marketing campaigns and channel targeting and efficiency.

What you'll do: You will lead the design, implementation, and delivery of BI solutions in the complex and ambiguous problem space of Amazon Deals.

What you'll do: You will create data infrastructure for the product and orchestrate the pipelines effectively.

What you'll do: You will be working on advanced machine learning models to optimise ad ranking, bidding strategies, and ad pacing mechanisms.

What you'll do: You will be working on smart/optimization/personalisation algorithms, recommender systems, forecasting and predictive models.

What you'll do: You will be working on designing, implementing and maintaining data processing pipelines in different clouds.

What you'll do: You will be working on designing, implementing and maintaining data processing pipelines in different clouds.

What you'll do: You will be working on credit risk and fraud detection problems.

What you'll do: You will work on ML models to predict user behaviour, and/or optimise in-app retention and campaign distribution.