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

Software Developer .NET (m/f/d)

Landesamt fu00fcr Steuern, Koblenz

Are you looking for a varied job in a motivated team with a family-friendly employer? Then read this job advertisement: The tax administration of the state of Rhineland-Palatinate is looking to fill a full-time position (39 hours per week) in the team responsible for application development as a Software developer .NET (m / f / d) Reference number 20240005 at the State Tax Office - Central Data Processing of the Tax Administration. The Central Data Processing of the Tax Administration is the IT service and competence center of the tax administration of the state of Rhineland-Palatinate and is located in Koblenz. The tasks to be performed include in particular Development of software in the back and front end as well as interfaces and automation solutions with C# and .NET Responsibility for all life cycles of the software components (design, implementation, documentation, refactoring, maintenance) What you should bring with you: Bachelor of Science degree in computer science or comparable degree; alternatively, successfully completed training as an IT specialist in application development Several years of practical experience in professional software development in a team, ideally with the Microsoft technology stack (C#, .NET, Visual Studio) Experience in dealing with web services (REST) Confident handling of database technologies Sound knowledge of the use of Git for version control Good knowledge of written and spoken German (language level: competent use of language C1/C2) Desirable: Experience in working with DevExpress components Knowledge of .NET Core, WPF, ASP.NET, Blazor and microservices In addition, these personal qualities are particularly important to us: Willingness to deal with new issues and find creative solutions Ability to think analytically and work in a structured, thorough and independent manner High level of commitment, ability to work in a team, cooperation and communication skills We offer you: Work in a dedicated team Secure workplace Qualified induction Permanent employment contract An attractive health management program Flexible working hours Social security A special annual payment Capital-forming benefits Supplementary pension scheme for the public sector (VBL) This is a permanent, open-ended position. Extensive training in the topics and tasks will be provided by experienced colleagues. The recruitment takes place in an employment relationship if the collective bargaining and personal requirements are met, a classification up to pay group E 10 TV-L can be made. If you are suitably qualified and meet the requirements under civil service law, it may be possible to become a civil servant at a later date. Applications are also open to civil servants (m/f/d) in the 3rd entry level of the \"Administration and Finance\" and \"Science and Technology\" departments up to grade A 12 LBesG. Our voluntary commitment \"The state government - a family-friendly employer\" ensures very good framework conditions for reconciling professional and family responsibilities. The state of Rhineland-Palatinate employs many people in very different fields of activity and with very different qualifications. We actively promote the equal treatment of all people and therefore expressly welcome applications from all age groups, regardless of ethnic origin, gender, religion or ideology, disability or sexual identity. 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. If suitable, applications from severely disabled people will be given preferential consideration. The advertised position is generally also suitable for part-time employees. If corresponding applications are received, it will be checked whether the part-time requests can be met within the scope of the official possibilities (in particular the requirements of the position, desired organization of working hours). Further information about the nature of the job can be obtained from Mr. Matthias Wiesner (Tel.: 0261 4932 36311) at the State Tax Office. Please send your application with informative documents (curriculum vitae in tabular form, school-leaving certificates, examination certificates and work references), in particular with reference to the job profile, stating the reference number to State Office for Taxes Central data processing of the tax administration Department ZD 11 for the attention of Ms. Simon-Gail Ferdinand-Sauerbruch-Strau00dfe 17 56073 Koblenz Applications by electronic mail can be sent in PDF format - preferably in a single file (up to a maximum of 15 MB) - to the email address [email protected] can be submitted. Application documents will not be returned. We therefore ask you to send us copies. Once the application process has been completed, the documents will be destroyed in accordance with data protection regulations. Data protection notice For information on the processing of personal data in the personnel group of the State Taxation Office and on your rights under the General Data Protection Regulation as well as on your contact persons in data protection matters, please refer to the general information letter of the personnel group of the State Taxation Office. You can find this information letter at https://www.lfst-rlp.de/datenschutz .

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