Siamo alla ricerca di una risorsa da inserire in stage della durata di 6 mesi all’interno della divisione Footwear & Technical Equipment , a supporto del progetto di implementazione del nuovo sistema PLM Kubix Link . La persona selezionata lavorerà all’interno del team di sviluppo progetto ed entrerà in contatto diretto con i team R&D , con i fornitori di materiali e con i fornitori di prodotto finito , collaborando alla raccolta e alla strutturazione dei dati necessari per l’inserimento e la gestione delle informazioni a sistema.
Strong Communicator: Ability to communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g., Product, Design). Team Player: Actively shares knowledge, mentors other team members, and is focused on achieving collective team goals.
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.
Siamo alla ricerca di una risorsa da inserire in stage della durata di 6 mesi all’interno della divisione Footwear & Technical Equipment, a supporto del progetto di implementazione del nuovo sistema PLM Kubix Link. La persona selezionata lavorerà all’interno del team di sviluppo progetto ed entrerà in contatto diretto con i team R&D, con i fornitori di materiali e con i fornitori di prodotto finito, collaborando alla raccolta e alla strutturazione dei dati necessari per l’inserimento e la gestione delle informazioni a sistema.
The Global Technical Academy develops, coordinates, and delivers technical and safety-related training within the Nordex Group. Internal colleagues, customers, and service providers are trained here.
Job Overview: As a Principal Statistical Programmer you will provide advanced technical expertise to develop process methodology for the department to meet internal and external clients’ needs, across complex projects and studies.
The Global Technical Academy develops, coordinates, and delivers technical and safety-related training within the Nordex Group. Internal colleagues, customers, and service providers are trained here.
We are currently looking for a skilled & passionate Senior Technical Project Manager (m/f/d) to become part of our Supply Tech Team at ABOUT YOU. Our Supply Tech team focuses on the technology and systems that power our supply chain, from initial procurement and product data management to inventory and shipping.
As a Technical Account Manager (TAM) at SCAYLE, you will be the strategic and technical point of contact for a portfolio of 5-10 enterprise E-Commerce SaaS customers.
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.
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.
You will manage complex, cross‑functional engineering projects from concept through serial production, ensuring technical excellence and strategic alignment. Acting as a central interface across multiple departments, you will drive development efficiency, manage risks, and ensure delivery of high‑quality turbine solutions.
Education & Experience: Bachelor’s degree in Engineering or a related technical field preferred; relevant experience in technical roles or sales may substitute. Minimum five years working with technical products or services, ideally vacuum equipment.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
What you will do Technical Authority: Define backend architecture standards, hosting strategies, and binding technical directions across all agency projects.
Strong communication skills with the ability to clearly present technical topics to diverse audiences. Intercultural competence and enthusiasm for collaborating with our growing international development sites.
Any other languages such as French would be an advantage;You combine technical skills (data management and analysis) with strong functional skills (communication and project management);Knowledge of and experience with the implementation of national and international regulations related to sustainability, due diligence and/ or climate;A pragmatic personality with a broad interest, high sense of ownership, entrepreneurial work ethic, hands-on mentality, excellent interpersonal skills and a flexible, solution-driven mind-set;You have a structured way of working and enjoy working both independently and in a team;Proficient computer skills (Office package);Excellent communication skills, across all levels of our organisation, both verbal and written, are crucial elements of your profile; As a Sustainability Coordinator (Maternity leave cover) we offer you: A fully immersive role in our world of chocolate.
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.
You ensure that customers see the most relevant products in the right order – balancing customer needs, business goals, and technical feasibility. We work with over 1 million real-time API calls per hour and a huge amount of data to deliver highly performant and intelligent sorting mechanisms to millions of users.
Monitor Regulatory Landscape and Business Impact Continuously monitor and assess legislative and regulatory developments and evaluate their impact and opportunities for CHEPLAPHARM. Lead, Develop and Empower the Team Provide strong technical leadership, foster professional development and ensure continuous growth and engagement of your team. Manage External Service Providers Effectively manage external service providers acting on behalf of CHEPLAPHARM, ensuring quality, compliance and performance.
Develop new documentation: Develop clear and concise documentation that meets users' needs. Validate technical details: Work with engineers and technicians to ensure the technical detail is correct through observation and hands-on testing in our lab.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
. --------------------------------------------- Senior Data Scientist Data Science & Advanced Analytics Frankfurt, Germany The Senior Data Scientist is responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets. The position combines technical execution with business alignment, ensuring solutions remain adaptable to evolving commercial needs while maintaining architecture consistency and standardization.