RESPONSIBILITIES
- 2+ years of experience in Data Science (previous experience working as a Machine Learning Expert is a plus)
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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Die Rolle
- Passion for music, with expertise in audio recognition and pattern recognition.
- German (native) and English (fluent)
- Bachelor’s degree in Computer Science, with a focus on Machine Learning and AI.
- Proven experience in project management, especially in tech or AI-driven projects.
- Strong skills in data management, annotation processes, and quality control.
- Proficiency in testing workflows, QA, and bug identification.
- Solid understanding of music and audio analysis, including MIDI data and sound pattern recognition.
- Excellent analytical skills for interpreting data and optimizing models.
- Clear and effective communication skills with internal and external teams.
- Creative problem-solving abilities for complex technical challenges.
- Ability to work independently and collaboratively in a fast-paced, startup environment.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Previous experience managing a team is a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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Die Rolle
- 4 years’ experience working as a software or data engineer
- Ability to design & build both maintainable as well as reliable Python code.
- English fluency
- Abillity to design and implement of complex SQL queries
- Experience building data processing pipelines in Python (Apache Airflow).
- Experience with test driven development & writing well tested software applications.
- Experience with big data solutions offered by major cloud providers (esp. Google Cloud).
- Experience with building critical software components with high uptime guarantees is a plus
- Experience with Apache Kafka or related stream processing frameworks is a plus.
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RESPONSIBILITIES
- 3+ years’ work experience in Sustainability and/or in the Business Intelligence area with project involvement
- Experience with Business Intelligence and Reporting Systems, ideally SAP ERP-S4, SAP BI, SAP Analytics Cloud, Tableau or any other BI solutions
- University degree in Sustainability, Business Administration, Finance, Economics, Business Informatics, IT or similar
- Up-to-date on sustainability regulations and developments/innovations
- Data-driven, data-enabling and solution-oriented person with the ability to translate complex business requirements into technical concepts/data models and document processes
- Ability to work across multiple teams in a large organisation, align goals and drive overall success independent of organisational boundaries
- Professional communication and presentation skills for internal and external stakeholders
- Proactive, self-motivated and able to work in a fast-paced environment on different projects in parallel
- Passionate about sustainability, environmental protection and social initiatives and feel motivated in your work as a result
- Fluent in English, German is a plus
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Die Rolle
- 5+ years of experience in Supply Chain or After Sales Management with a background in project management.
- Team leadership experience and working with international markets and regional partnerships.
- Knowledge of structured project management, data analytics, and ERP systems like SAP MM.
- Proficient in Microsoft Excel.
- Strong communication skills in English.
- Degree in Business Administration or a related field with a background in procurement or after-sales management.
- Comfortable working in fast-paced, global organizations with diverse stakeholders.
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RESPONSIBILITIES
- Calculation of costs for all finished goods (including semi-finished goods).
- Forecasting costs of goods for new product requests from all countries.
- Support of the operations department with regard to different processes in SAP and drive optimization.
- Creation of Ad-Hoc analysis.
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Let's create the future of mobility together!
- Großhandel
- Einzelhandel
- Finanzdienstleistung
- Informatik
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RESPONSIBILITIES
- University Degree or Equivalent Professional Experience
- Fluent in English (must), Spanish & Portuguese (plus)
- Minimum 3+ years sales management experience in either Distribution, Wholesale or Key Accounts. Team management is a plus
- Commercial and finance understanding
- Ability to influence and manage key Stakeholders
- Strong analytical skills using internal and external data sources
- High level of proficiency in Sales applications, BI reporting, Microsoft Excel, and PowerPoint is a plus
- Learner, self-motivated and able to work independently
- A team player with great integrity
- Excellent communication and active listening skills
- Resilience and adaptability to solve problems and identify priorities in a fast-paced environment
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In your career, let’s prove what’s possible.
- Lead strategically important projects & programs solve complex business problems.
- Control and lead interdisciplinary project/programs while using your experience to accomplish the best possible outcome measured against success criteria (quality, time, cost).
- Provide actionable insights for management to support decision making through data collection and analysis.
- Build, develop, and lead the cross-functional team through the entire project/program
- Develop and deliver clear and concise communications for leadership teams and stakeholders.
- Provide frequent program summaries (reports) for internal and external customers.
- Ensure execution, manage risks, assure adherence to program or project schedules, and performance to meet business requirements.
- Partner with cross-functional stakeholders to continuously improve the process.
- Run change management for projects and programs and support proper project closure.
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In your career, let’s prove what’s possible.
- Troubleshoot new or existing product problems, involving designs, materials, or processes.
- Designs, develops, and implements safe and cost-effective complex equipment and methods of assembly for all phases of manufacturing.
- Define process and methods for high volume manufacturing which includes operations method sheet, routing, and sequencing.
- Perform virtual build and create sequence of assembly.
- Perform root cause investigation and recommend corrective action for operational problems, such as material use variances, bottlenecks, fixture issues during build or manufacturing process.
- Identify opportunities to improve manufacturing processes or resolve problems and follow through resolution to reduce costs, improve product quality, and cycle time.
- Reviews and develops designs that improve product manufacturability and assembly.
- Coordinate new product builds in pilot production manufacturing partnering closely with manufacturing and product engineers.
- Create and release engineering drawings & bill of materials (BOM) using Engineering Change Management process.
- Development of handoff package to allow product transition to high volume manufacturing.
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In your career, let’s prove what’s possible.
- Planning and creation of electrical circuit diagrams, parts lists in EPLAN- preferably P8 and EPlan Cogineer
- Collaboration in the planning of complete electrotechnical systems
- Revision and review of existing circuit diagrams
- Preparation of scheduling for suppliers
- Selection of sensors based on fluid plans
- Calculation of the electrical power of the systems
- Communication with software, purchasing, production and mechanical design
- Technical support
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In your career, let’s prove what’s possible.
_____ ______ __ __ _____ _ _______ ______ |__ __| ____| \/ | __ \| | /\|__ __| ____| | | | |__ | \ / | |__) | | / \ | | | |__ | | | __| | |\/| | ___/| | / /\ \ | | | __| | | | |____| | | | | | |____ / ____ \| | | |____ |_| |______|_| |_|_| |______/_/ \_\_| |______| -->
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In your career, let’s prove what’s possible.
- Participates in the conceptualization, modeling, analysis, development, documentation, and test/validation of hardware associated with new semiconductor equipment.
- Designs parts using metals, ceramics, quartz, plastics, and advanced coatings/plating’s. Work with potential suppliers to ensure parts can be manufactured in accordance with performance and cost objectives.
- Ensures documentation is consistent with SEMI, Lam Standards and other standards as applicable (ANSI, DIN etc.) as well as best known methods for GD&T; accordingly, demonstrates knowledge and ability to properly utilize them.
- Performs analytical work in order to characterize and properly specify new and existing designs, including heat transfer, stress, vibrations, fluid/gas dynamics and manufacturability.
- Develops and execute test plans that generate characterization data sufficient to understand and validate the performance of the design.
- Develops and presents reports/presentations of excellent quality that communicate design intent, analysis, and validation at design reviews.
- Close interactions with suppliers and other Lam internal departments to ensure reception of high quality, well tested and cost optimized solutions for the defined requirements.
- May be responsible for the design, development and implementation of custom mechanical tooling, fixturing and associated processes to enable the handling, assembly and/or disassembly of parts, components, sub-assemblies and final assemblies throughout the product life cycle.
- Establishes standards across all operational processes.
- Prepares all required deliverables requested by product development plan (e.g. FMEA, technical specifications, risk analysis, test specifications, design review presentations)
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