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 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 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 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 enhance Doctolib’s phone assistant by improving speech-to-text accuracy through fine-tuning while ensuring low latency.

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 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 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 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 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 Build systems which steer sponsored content visibility on Zalando.

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 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 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 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 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.