. • Meets utilization targets and standard times. • Accurately enters Database/SAP transactions in the computer. • Maintains daily records, including labor sheets and routers. • Responsible for observing and following all Environmental, Health and Safety rules and procedures.
Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
You will work in an internationally oriented market segment with a broad customer base of OEMs. YOUR QUALIFICATIONS Completed technical degree in computer science/electrical engineering/mechatronics Professional experience in a comparable environment and practical experience in the analysis and specification of system requirements, preferably in the automotive industry using DOORS and RhapsodyProficient use of the SysML modeling language and experience in the development of ASIL C/D systems Systematic, process-oriented approach (SPICE, V-model) and very good technical understanding Experience in the field of digital control engineering and power electronics is desirable Experience with System-FMEA and System-FTA is desirable Excellent communication skills in English Enthusiasm and a desire to further develop oneself and the HV DC/DC and OBC products WHAT WE OFFERMobile Working and flexible working time modelsExtensive career and further training opportunities Sports and health program HELLA in Motion as well as partner of the company fitness network WELLPASSDiscounted Germany ticket for bus and trainFree coffee and water, company restaurants and cafésBicycle leasing and numerous employee benefitsCompany pension plan with HELLA allowanceFamily support: family service and advice on caring for relativesEmployee events Even if you do not meet all our requirements, do not hesitate to apply to us, because the further development of our employees is very important to us and opens up a wide range of opportunities for you in our company.
Main Tasks and Key Responsibilities Overall goals / Typical measures Seeks and prospects for BC targets to win new customers generally in the 30k-500k Euro range Net Sales per annumPlans and manages medium to large - sized Business CustomersBuilds rapport and trust with customers by being informed about customer’s business and the marketAssesses the type and size of customer needsRecommends solutions based on customer needs by using industry knowledgeIs responsible for closing business by connecting a customer’s needs to a DHL solution by offering value to the clients supply chainSupports customer growth by conducting joint visits with Product, TL and organizing workshops inviting customers to share information on updated regulations, products, etcUses networks within the various Sales channels within DP DHL to collaborate on customers, marketing strategies and offers a full supply chain of services to service customer needsCollects relevant customer information for the RFI/RFP/RFQ and prepares documents for customer implementation in order to ensure proper operational handover and implementation to meet customer expectations (SLA’s & SOP’s)Is a master user of DGF CRMTransfers SC with high value potential to key account Sales channel Job Requirements Computer Literate – All MS Programsand willing to learn additional computer skillsAbility to work in a team environment and transfer of knowledge to team membersAbility to work within time constraints, make own decisions and advise Client of logistics solutionsPunctuality and time management skills are essential elements of this position.Ability to work under extreme pressure with minimal supervision.Ability to communicate effectively on all levelsAbility to use initiative and be a self-starterCreativity and problem-solving capabilitiesOutstanding Customer relationship skills a necessityPunctuality and time management skills are essential elements of this position.Must have previous freight experience Skills / Qualifications Key capabilities / Competencies Competence Competency segment ‘Business’ Analysis:Breaks down a problem, situation or process into its component parts, separates the main issues from side-issues, understands the nature of parts and their relationship to one another.
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
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. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.