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.
Job Description You will analyse and monitor international market activities, industry news and and competitive developments and help them turn into actionable insights for the teamYou will collect and structure market information from various sources and create regular updates on market and business developmentsYou will assist in identification of potential offtakers and third party partners along the value chain You will assist in preparing tenders and customer proposals, taking ownership of bidding process and working closely with internal and external partnersTogether with senior colleagues, you will develop and maintain relationships with customers and help prepare, conduct and follow up on meetingsYou will participate in conferences, associations and industry events and start building your own network in the rapidly evolving hydrogen ecosystem Qualifications You have a degree in (industrial) engineering, economics or a comparable field, or strong relevant technical qualificationsYou bring 2-4 years of professional experiences in business development, trading, project management or marketing, ideally in energy, mobility, logistics or industrial sectorsYou have experience in tendering processes, preparing RFQs and evaluating market offers; exposure to commercial negotiations is a plus You have already worked with developing new products or markets, and can work in dynamic market environmentsYou have a sound understanding or high interest in renewable energies, hydrogen production, and PtX derivatives (e.g. ammonia, methanol, SAF) You are fluent in English and have a good command of written and spoken German Additional Information 🏡 Flexibility & Work-Life Balance Vacation: Take time to recharge - you’ll have 30 vacation days with us.
You support our technical training team by organizing materials, managing equipment, and helping to digitize and improve training content. In this role, you work closely with trainers, contribute to efficient workshop operations, and help develop structured and modern training documentation.
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.
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.
Die Global Technical Academy entwickelt, koordiniert und führt technische und sicherheitsrelevante Trainings innerhalb der Nordex Group durch. Hier werden interne Kollegen, sowie Kunden und Dienstleister geschult.
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.
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.