Überblick über die Statistik des Gehaltsniveaus für "Technical Support Scientist in Rheinland-Pfalz"

DESCRIPTION The Global Procurement Technology is looking for an experienced Data Engineer. As a Data Engineer, you will need to review technical design, and develop and enhance data systems and pipelines supporting process optimization in reporting, planning, and controlling activities in Global Procurement as well as integrate in-house data infrastructure with partner systems. You should be an expert in the architecture of data warehousing solutions, using various platforms and tools. In addition, you should have strong analytical skills and excel in the design, creation, management, and business use of large data sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable Extract, Transform, and Load (ETL) processes to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have an immediate influence on day-to-day business decision making. Moreover, you will create automated alarming and dashboards to monitor data ops activity, improving Operational Excellence metrics. Finally, you should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with Data and BI engineers, Data Scientists, (non-)tech managers, and Analysts to evaluate business needs and objectives in order to build the most appropriate data solutions. Overall, you will be the subject matter expert for the data structures and usage, while striving for efficiency by aligning data systems with business goals. Basic Qualifications Bachelor's Degree in Computer Science/Engineering, Informatics, or a related technical discipline Proven experience in data engineering, data science, business intelligence or related field Very good knowledge of data management fundamentals and data storage principles Demonstrated strength in data modelling, ETL development, and data warehousing/lakes architecture Advanced SQL and query performance tuning skills. Experience building data products incrementally, integrating and managing large data sets from multiple sources Good knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations Demonstrated coding experience with modern programming or scripting language (Python, Scala, Java, etc.). Preferred Qualifications Master's Degree in Data Analytics, Data Science, Applied Science or related certification Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, Lambda, etc.) Database design and administration experience with various RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc. Knowledge of systems engineering to optimize integration of data service/software solutions with data infrastructure Proven track record of applying data engineering for enabling business analytics (Procurement, Operations, Finance, etc.) Experience providing technical leadership and mentoring other engineers for the best practices on data engineering We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX BASIC QUALIFICATIONS Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Experience with data modeling, warehousing and building ETL pipelines Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets Experience working on and delivering end to end projects independently Bachelor's degree Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Experience with SQL PREFERRED QUALIFICATIONS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience providing technical leadership and mentoring other engineers for best practices on data engineering Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a lo... Standort Amazon Europe, Koblenz

DESCRIPTION Have you ever wished to build high standard Operations Research and Machine Learning algorithms to optimize one of the most complex logistics network? Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of algorithms & processes are running behind the scenes to power the whole operation? If so, this role is for you. The team: Global transportation services, Research and applied science Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. GTS RAS is one of those Global transportation scientific team. We are obsessed by delivering state of the art OR and ML tools to support the rethinking of our advanced end-to-end supply chain. Our overall mission is simple: we want to implement the best logistics network, so Amazon can be the place where our customers can be delivered the next-day. The role: Applied scientist, speed and long term network design The person in this role will have end-to-end ownership on augmenting RAS Operation Research and Machine Learning modeling tools. They will help understand where are the constraints in our transportation network, and how we can remove them to make faster deliveries at a lower cost. You will be responsible for designing and implementing state-of-the-art algorithmic in transportation planning and network design, to expand the scope of our Operations Research and Machine Learning tools, to reflect the constantly evolving constraints in our network. You will enable the creation of a product that drives ever-greater automation, scalability and optimization of every aspect of transportation, planning the best network and modeling the constraints that prevent us from offering more speed to our customer, to maximize the utilization of the associated resources. The impact of your work will be in the Amazon EU global network. The product you will build will span across multiple organizations that play a role in Amazon's operations and transportation and the shopping experience we deliver to customer. Those stakeholders include fulfilment operations and transportation teams; scientists and developers, and product managers. You will understand those teams constraints, to include them in your product; you will discuss with technical teams across the organization to understand the existing tools and assess the opportunity to integrate them in your product.You will engage with fellow scientists across the globe, to discuss the solutions they have implemented and share your peculiar expertise with them. This is a critical role and will require an aptitude for independent initiative and the ability to drive innovation in transportation planning and network design. Successful candidates should be able to design and implement high quality algorithm solutions, using state-of-the art Operations Research and Machine Learning techniques. Key job responsibilities Engage with stakeholders to understand what prevents them to build a better transportation network for Amazon Review literature to identify similar problems, or new solving techniques Build the mathematical model representing your problem Implement light version of the model, to gather early feed-back from your stakeholders and fellow scientists Implement the final product, leveraging the highest development standards Share your work in internal and external conferences Train on the newest techniques available in your field, to ensure the team stays at the highest bar About the team GTS Research and Applied Science is a team of scientists and engineers whom mission is to build the best decision support tools for strategic decisions. We model and optimize Amazon end-to-end operations. The team is composed of enthusiastic members, that love to discuss any scientific problem, foster new ideas and think out of the box. We are eager to support each others and share our unique knowledge to our colleagues. We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX BASIC QUALIFICATIONS Experience in building models for business application Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development PhD, or a Master's degree and experience in Computer science, CE, machine learning or related technical field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a lo... Standort Amazon Europe, Hermeskeil

DESCRIPTION Amazon EU Customer Fulfillment Operations is seeking a Research Scientist to leverage statistical analysis and machine learning expertise in understanding complex problem statements, driving fast and confident data-driven decisions. If you are passionate about answering some of the most complex dilemma in EUCF Operation, Learning and Development, this is your chance to make history. At Amazon we believe that every day is day one. If you thrive in a challenging, fast-paced, highly analytical and result-oriented environment, you'll meet your match: we don't like to sit still, which is why we treat every day like the first. It's as simple as this: Work Hard. Have Fun. Make History. Key job responsibilities Apply rigorous and scientific approaches to collect, analyze, and provide recommendations on critical business questions, enabling confident and swift decision-making in EU CF Operations Advocate technical solutions to business stakeholders, engineering teams, and executive-level decision makers Develop and execute experiments, including A/B and hypothesis testing, to assess the effectiveness and impact of various business strategies and initiatives Conduct financial analysis, determine ROI, and assess the economic impact of decisions, emphasizing trade-offs, risks, and benefits through robust statistical methodologies. Access, comprehend, and manipulate diverse datasets, constructing analytical models and performing measurements to extract meaningful insights and guide informed decision-making. Foster a culture of knowledge-sharing, actively collaborating with peers and professionals across disciplines to exchange expertise and stay at the forefront of statistical advancements. Utilize statistical analyses, including experimental design and hypothesis testing, to develop cutting-edge machine learning solutions that address complex business queries. Foster knowledge-sharing and actively learn from peers, collaborating with a diverse range of professionals, including hiring, coaching, and training. We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX BASIC QUALIFICATIONS Masters or PhD in STEM (science, technology, engineering or mathematics) related field Ability to communicate orally and in writing to present business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions. Advanced technical skills in Excel (PowerQuery, Data Analysis, Pivot Tables), Postgre SQL, Python (Pandas, Numpy). Experience in design of experiment, A/B and hypothesis testing, statistical modeling. Experience investigating the feasibility of applying scientific principles and concepts to business problems and products (eg apply statistical analysis to solve complex business problem statements). Strong understanding of standard machine-learning algorithms (supervised, unsupervised). Experience working in a dynamic, agile environment within a geographically distributed technical and non-technical teams. Technically curious, self-motivated, versatile and solution oriented. Ability to effectively prioritize projects, manage multiple competing priorities simultaneously, and drive projects to completion under tight deadlines. Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the world. PREFERRED QUALIFICATIONS In-depth knowledge using Excel (PowerQuery, Data Analysis,Pivot Tables ), PostgreSQL, and Python for data analysis (Pandas, Numpy), visualization (Matplotlib, Seaborn) and modeling (Scikit-learn, Scipy, PyTorch, TensorFlow, and Keras). Experience managing science projects e2e on AWS stack Strong understanding of Amazon operations and Learning and Development metrics. Outstanding communication skills, translating complex technical knowledge into actionable recommendations for directors and VPs and ability to tailor communication to different audiences and stakeholders. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a lo... Standort Amazon Europe, Idar-Oberstein

Computer Scientist / Software Developer (m/f/d) Are you a computer scientist/software developer (m/f/d) looking for a secure job in an exciting and modern environment? Would you like to play an active role in the successful implementation of our IT projects? Then become part of our team in the Agricultural Business Database (LBD). We are looking for several software developers (m/f/d) for the new and further development of various specialist procedures in the field of agricultural funding as soon as possible. Compact: Location: Bad Ems Grouping: up to EG 11 TV-L Employment contract: open-ended Application deadline: 22.07.2024 Your tasks Analysis of development specifications and creation of functional specifications Development of IT concepts for the technical handling of one of the specialist processes Development and support of software components throughout the entire software life cycle Technical support for the Ministry of Economic Affairs, Transport, Agriculture and Viticulture as the client Analysis and evaluation of new technologies in the field of software development and IT architecture Coordination and coordination of tasks with external bodies Your qualifications Completed computer science or STEM studies (Bachelor's degree) OR a degree in a comparable apprenticeship in the IT sector in combination with several years of relevant professional experience Knowledge and experience in object-oriented software development with Java (Jakarta EE or Spring/Spring Boot), modeling with UML Knowledge of relational database systems (e.g. Oracle, PostgreSQL) Strong communication and teamwork skills Analytical thinking, initiative and decision-making skills Good written and spoken knowledge of the official language German Knowledge of Javascript, HTML and CSS (React, Angular or Vue) is desirable Ideally knowledge of containerization (Docker, Podman, or similar) Our benefits Standard salary incl. special annual payments, company pension scheme and 30 days' vacation Individual training opportunities Future-proof employer Home office (up to 60 percent) Flexible working hours Company health management Do you have any questions? Orietta Richter (Recruitment Officer) / Tel.: 02603 713358 or Christian Dillinger (Head of Unit LBD) / Tel.: 02603 713028 Aroused interest? Then apply now via our career portal at https://www.statistik.rlp.de/karriere Notes: Please submit your complete documents (cover letter, CV, certificates). We ask for your understanding that, for organizational reasons, applications in paper form or by e-mail cannot be accepted. All supporting documents must be submitted by the application deadline. Experience, knowledge and skills acquired through family work or voluntary work will be taken into account when assessing qualifications in accordance with Section 8 (1) of the State Equal Opportunities Act. Severely disabled applicants will be given preferential consideration if they are suitable. As part of the state government's program to promote women, we are aiming to increase the proportion of women and are therefore particularly interested in receiving applications from women.