What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
As a fashion and technology company, we work together towards our goal of making the shopping experience more inspiring and personal for our customers. We are currently looking for a skilled & passionate Technical Business Analyst (m/f/d) to join our Commerce Finance Tech Circle Cluster at ABOUT YOU! Our ABOUT YOU Commerce Finance Tech Circle Cluster is responsible for connecting to the ABOUT YOU Commerce ERP solution to ensure the regulatory compliance of our commerce business.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
We are currently looking for a skilled & passionate Technical Process Owner (m/f/d) to become part of one of our Supply Tech team at ABOUT YOU! This role combines the core responsibilities of a Product Owner with a deep focus on technical process ownership.
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis Support in defining and improving image analysis methods and tools to derive quantitative feature values from images Extend the data infrastructure with additional information, e.g. from sensor performance characterization Data driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional education Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teams Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity Good communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentation Motivated team player with passion in promoting and driving fast-paced and ambitious projects Aptitude to understand and improve the underlying technical processes Proficiency in both English and German Unlimited project contract Fascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensorsImprove and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availabilityAct as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standardsImprove and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysisSupport in defining and improving image analysis methods and tools to derive quantitative feature values from imagesExtend the data infrastructure with additional information, e.g. from sensor performance characterizationData driven improvements of manufacturing processes Completed technical training in process engineering, data science, bioinformatics, or similar professional educationProfessional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environmentExperience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log filesAbility to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g. correlation analysis, cluster analysis) to support the development teamsSkills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunityGood communication skills in a multicultural and multidisciplinary environment A thorough way of working and documentationMotivated team player with passion in promoting and driving fast-paced and ambitious projectsAptitude to understand and improve the underlying technical processesProficiency in both English and German Unlimited project contractFascinating, innovative environment in an international atmosphere Ihr Kontakt Ansprechpartner Jannik Fabio Eichin Referenznummer 865639/1 Kontakt aufnehmen E-Mail: jannik.eichin@hays.ch Anstellungsart Freiberuflich für ein Projekt
Your mission is to ensure that our technical systems perfectly align with our business goals. You will use your technical “detective” skills to troubleshoot issues, but your real value lies in your ability to understand, protect, and optimize the commercial processes that drive our success.
Work data-driven, based on reports and analyses, to derive actions oriented toward customer needs Manage and communicate with all relevant stakeholders Understand stakeholder demands, needs, and issues – translate them into actionable & feasible product requirements and build scalable tech solutions Triaging operative issues, identifying technical dependencies, and evaluating business impact Lead cross-team projects and collaborate closely with other tech teams to execute end-to-end solutions Who you are Master’s degree or equivalent in a relevant field 7–10 years of experience in product management for tech products within software development, focused on backend systems Proven expertise in agile methodologies and collaboration with developers, data scientists, and QA managers Strong understanding of technology, business processes, and functional dependencies Hands-on experience with e-commerce systems, ideally in retail Skilled in IT project management and leading cross-functional initiatives At least 2 years of team leadership experience Analytical, detail-oriented, and customer-focused with a proactive mindset Exceptional communication skills in English, adaptable to diverse perspectives Comfortable in international work environments, with a focus on efficiency and solutions Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Laracast account for free Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Central Location Flexible Working Hours Company pension Professional training Dog-friendly office Remote AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU.
SUMMARY Would you like to be part of DHL IT Services? Our Infrastructure Engineering team is looking for a new technical star. You will run, develop and grow our global, multi-cluster Red Hat OpenShift container platform that sits at the heart of DHL digitalization strategy and brings a new dimension of speed, flexibility and efficiency to DHL.
We are currently looking for a skilled & passionate Technical Operations Manager (m/f/d) to become part of our Supply Tech Enabling Team within our Supply Tech Unit at ABOUT YOU. You will take end-to-end ownership of a business model cluster (e.g., wholesale or dropshipping).
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.