At Blue Yonder, we employ state-of-the-art machine learning algorithms to generate hundreds of millions of microdecisions for large retail enterprises every day. Full automation allows us to shape supply chains and set selling prices such that customers never face empty shelves, less groceries go to waste, and fashion stores no longer end up with heaps of surplus clothes at the end of season.
Our retail products run on the Blue Yonder platform that provides all necessary services to deliver best decisions to our customers. Our platform defines standard APIs for customer payload data exchange and offers the computational punch for our data scientists, scaling from a single CPU to hundreds of cores and terabytes of RAM within seconds. All this happens for all customers on the same shared infrastructure hosted on Microsoft Azure.
As one of a few companies world wide, we have solved the tough problem of bringing data science to production while keeping costs and operational efforts at bay. Now part of the JDA family, we continue to relentlessly drive innovation to pursue our vision of the autonomous supply chain. On the way, we have solved, and will solve plenty of interesting and challenging problems, and we would love to have you on board for that journey.
We are looking for a Software Engineer Python (m/f) to support our DevOps enablement teams in Karlsruhe and Hamburg, Germany.
Your tasks:
Building and operating shared DevOps infrastructure for our products and customer services on Microsoft Azure
Continuous analysis and improvement of security, performance, and availability of data-intensive distributed systems
Maintaining and operating existing Software-as-a-Service products
Strengthening the automation and robustness of our cloud infrastructure with failover mechanisms, monitoring, alerting, using tools and technologies such as Ansible, Prometheus and Grafana
Working in an agile team with an emphasis on quality, testability, and automation
Your experience:
In-depth knowledge of Python and its open-source ecosystem
2+ years in operations or software engineering role
Experience with container orchestration (e.g. Kubernetes, Apache Mesos, Docker) and cloud environments such as Microsoft Azure or AWS.
Passion for DevOps and software development with agile methods such as Kanban, TDD and pair programming
Are you super thrilled about the opportunity, but afraid to apply because you are not checking all boxes above? Please don't be shy. We will do our best to hire for potential rather than your current qualifications.
We live for pushing artificial intelligence forward and scalable solutions. Joining our team means you can look forward to working with our people on realizing creative ideas and see how they operate in the resulting solutions. Mutual respect, friendly relationships and results-oriented work are an important part of our environment. We strive to be a family-friendly business and are open to modern working structures. We enjoy delivering the highest-quality work and like clean coding just as much as our social barbecues, contributing to open source projects, discussing new technologies and spending quality time with our families at home.
15/01/2020
Full time
At Blue Yonder, we employ state-of-the-art machine learning algorithms to generate hundreds of millions of microdecisions for large retail enterprises every day. Full automation allows us to shape supply chains and set selling prices such that customers never face empty shelves, less groceries go to waste, and fashion stores no longer end up with heaps of surplus clothes at the end of season.
Our retail products run on the Blue Yonder platform that provides all necessary services to deliver best decisions to our customers. Our platform defines standard APIs for customer payload data exchange and offers the computational punch for our data scientists, scaling from a single CPU to hundreds of cores and terabytes of RAM within seconds. All this happens for all customers on the same shared infrastructure hosted on Microsoft Azure.
As one of a few companies world wide, we have solved the tough problem of bringing data science to production while keeping costs and operational efforts at bay. Now part of the JDA family, we continue to relentlessly drive innovation to pursue our vision of the autonomous supply chain. On the way, we have solved, and will solve plenty of interesting and challenging problems, and we would love to have you on board for that journey.
We are looking for a Software Engineer Python (m/f) to support our DevOps enablement teams in Karlsruhe and Hamburg, Germany.
Your tasks:
Building and operating shared DevOps infrastructure for our products and customer services on Microsoft Azure
Continuous analysis and improvement of security, performance, and availability of data-intensive distributed systems
Maintaining and operating existing Software-as-a-Service products
Strengthening the automation and robustness of our cloud infrastructure with failover mechanisms, monitoring, alerting, using tools and technologies such as Ansible, Prometheus and Grafana
Working in an agile team with an emphasis on quality, testability, and automation
Your experience:
In-depth knowledge of Python and its open-source ecosystem
2+ years in operations or software engineering role
Experience with container orchestration (e.g. Kubernetes, Apache Mesos, Docker) and cloud environments such as Microsoft Azure or AWS.
Passion for DevOps and software development with agile methods such as Kanban, TDD and pair programming
Are you super thrilled about the opportunity, but afraid to apply because you are not checking all boxes above? Please don't be shy. We will do our best to hire for potential rather than your current qualifications.
We live for pushing artificial intelligence forward and scalable solutions. Joining our team means you can look forward to working with our people on realizing creative ideas and see how they operate in the resulting solutions. Mutual respect, friendly relationships and results-oriented work are an important part of our environment. We strive to be a family-friendly business and are open to modern working structures. We enjoy delivering the highest-quality work and like clean coding just as much as our social barbecues, contributing to open source projects, discussing new technologies and spending quality time with our families at home.
Der digitale KI-Assistent Neo unterstützt Mitarbeiter bei ihrer Arbeit mit komplexen B2B-Systemen, wie beispielsweise SAP, Oracle oder Salesforce. Quasi wie Alexa oder Siri, aber für Business. In puncto “Natural Language Understanding” (NLU) und Data Science haben wir hier natürlich etliche Baustellen – und genau da kommst du ins Spiel! Was verstehen wir unter Applied Machine Learning? Bei uns geht es immer um den anwendungsbezogenen und pragmatischen Einsatz von Methoden wie Machine Learning, die im weiteren Sinne zur künstlicher Intelligenz zählen: Unter Verwendung von bestehend Tools, Frameworks und Best-Practices bauen wir Lösungen zu konkreten Problemstellungen unserer Kunden bzw. unseres Produktes. Es geht weniger um Grundlagenforschung oder pure Data Science; vielmehr haben wir hier einen starken IT- und Softwareentwicklungsbezug. Was erwartet dich bei den Neohelden? In dieser Position kommt dir eine Schlüsselrolle in unserem Produkt zu: Gemeinsam mit unserem CTO Maik bist du im Epizentrum unseres Sprachverständnisses, der Datenanalyse, -Aufbereitung und -Verarbeitung! Gemeinsam mit uns und unseren Kunden entwickelst du innovative Anwendungsszenarie und wirst diese mithilfe von Machine-Learning Algorithmen und Modellen den Anwendern von Neo durch neue Dienste und Funktionen zugänglich machen.
Ein motiviertes Team, das gemeinsam mit dir unseren digitalen Assistenten weiterentwickeln möchte.
Eigene Projekte und Themen voranbringen: Du bestimmst maßgeblich, welchen Machine Learning Problemstellungen du dich widmen möchtest und wählst ein dafür geeignetes Toolset.
Drücke Neo deinen eigenen Stempel auf und entwickle mit uns den digitalen Assistenten der Zukunft.
Was bringst du mit? Dein Bildungsweg und Zertifikate interessieren uns weniger – viel wichtiger ist, dass du gerne mit anpackst, Themen voranbringst und im Idealfall sogar schon eigene Projekte entwickelt hast.
Du möchtest künstliche Intelligenz sinnvoll nutzbar machen und kannst nutzenstiftende Use-Cases identifizieren.
Du hast Erfahrungen in der Software-Entwicklung gesammelt und möchtest dich (oder hast dich bereits) auf Machine Learning fokussieren.
Der Bereich des Natural Language Understanding fasziniert dich.
Du liebst es, Zahlen und Daten zu jonglieren und zu analysieren, um dann Prognosen zu machen und Schlüsse daraus zu ziehen.
Du arbeitest kreativ und zugleich pragmatisch.
Du kannst deine Modelle und Algorithmen verständlich präsentieren und erklären.
Was bieten wir dir?
Kollegen, die sich jetzt schon auf dich freuen!
Verantwortung vom ersten Tag an: Du kannst Projekte planen und durchführen.
Zur persönlichen Weiterentwicklung steht dir ein Budget zur freien Verfügung.
Du erlebst und bereicherst das Wachstum eines jungen Unternehmens.
Arbeite Remote oder in unserem Office in der Karlsruher Oststadt.
Eine wettbewerbsfähige Entlohnung.
Sende uns deine Bewerbungsunterlagen (Lebenslauf genügt) mit ein paar Takten über dich und deinem frühesten Einstiegsdatum zu. Dabei wäre uns besonders wichtig, auch Code-Beispiele von dir zu sehen, sodass Angaben von Github Profilen oder Stack Overflow Beiträgen ein großer Pluspunkt sind. Wir freuen uns, dich kennenzulernen!
08/01/2020
Full time
Der digitale KI-Assistent Neo unterstützt Mitarbeiter bei ihrer Arbeit mit komplexen B2B-Systemen, wie beispielsweise SAP, Oracle oder Salesforce. Quasi wie Alexa oder Siri, aber für Business. In puncto “Natural Language Understanding” (NLU) und Data Science haben wir hier natürlich etliche Baustellen – und genau da kommst du ins Spiel! Was verstehen wir unter Applied Machine Learning? Bei uns geht es immer um den anwendungsbezogenen und pragmatischen Einsatz von Methoden wie Machine Learning, die im weiteren Sinne zur künstlicher Intelligenz zählen: Unter Verwendung von bestehend Tools, Frameworks und Best-Practices bauen wir Lösungen zu konkreten Problemstellungen unserer Kunden bzw. unseres Produktes. Es geht weniger um Grundlagenforschung oder pure Data Science; vielmehr haben wir hier einen starken IT- und Softwareentwicklungsbezug. Was erwartet dich bei den Neohelden? In dieser Position kommt dir eine Schlüsselrolle in unserem Produkt zu: Gemeinsam mit unserem CTO Maik bist du im Epizentrum unseres Sprachverständnisses, der Datenanalyse, -Aufbereitung und -Verarbeitung! Gemeinsam mit uns und unseren Kunden entwickelst du innovative Anwendungsszenarie und wirst diese mithilfe von Machine-Learning Algorithmen und Modellen den Anwendern von Neo durch neue Dienste und Funktionen zugänglich machen.
Ein motiviertes Team, das gemeinsam mit dir unseren digitalen Assistenten weiterentwickeln möchte.
Eigene Projekte und Themen voranbringen: Du bestimmst maßgeblich, welchen Machine Learning Problemstellungen du dich widmen möchtest und wählst ein dafür geeignetes Toolset.
Drücke Neo deinen eigenen Stempel auf und entwickle mit uns den digitalen Assistenten der Zukunft.
Was bringst du mit? Dein Bildungsweg und Zertifikate interessieren uns weniger – viel wichtiger ist, dass du gerne mit anpackst, Themen voranbringst und im Idealfall sogar schon eigene Projekte entwickelt hast.
Du möchtest künstliche Intelligenz sinnvoll nutzbar machen und kannst nutzenstiftende Use-Cases identifizieren.
Du hast Erfahrungen in der Software-Entwicklung gesammelt und möchtest dich (oder hast dich bereits) auf Machine Learning fokussieren.
Der Bereich des Natural Language Understanding fasziniert dich.
Du liebst es, Zahlen und Daten zu jonglieren und zu analysieren, um dann Prognosen zu machen und Schlüsse daraus zu ziehen.
Du arbeitest kreativ und zugleich pragmatisch.
Du kannst deine Modelle und Algorithmen verständlich präsentieren und erklären.
Was bieten wir dir?
Kollegen, die sich jetzt schon auf dich freuen!
Verantwortung vom ersten Tag an: Du kannst Projekte planen und durchführen.
Zur persönlichen Weiterentwicklung steht dir ein Budget zur freien Verfügung.
Du erlebst und bereicherst das Wachstum eines jungen Unternehmens.
Arbeite Remote oder in unserem Office in der Karlsruher Oststadt.
Eine wettbewerbsfähige Entlohnung.
Sende uns deine Bewerbungsunterlagen (Lebenslauf genügt) mit ein paar Takten über dich und deinem frühesten Einstiegsdatum zu. Dabei wäre uns besonders wichtig, auch Code-Beispiele von dir zu sehen, sodass Angaben von Github Profilen oder Stack Overflow Beiträgen ein großer Pluspunkt sind. Wir freuen uns, dich kennenzulernen!
Overview
The Data Scientist Consultant provides services that maximize the value of the customer's business through data-driven insights and enhanced decision support. This role will be responsible for advising the customer and recommending software configuration alternatives and implementing the software that is configured to optimize the solution so that the customer may realize the maximum value from the software.
Your day to day work will entail
Provide analytical services as part of a team conducting proofs-of-concept and identifying opportunities to create customer value
Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality
Extract and present data stories from customer data sets to demonstrate value of solution and guide the customer in their priorities
Build, configure and train models to support overall project objectives, and run simulations and what-if analyzes to evaluate alternative scenarios
Support the successful delivery of the solution to the customer by making recommendations and providing quantitative evidence of the project's results
Work as part of a highly motivated, interdisciplinary and agile team
You are / should have
Graduate degree in Operations Research, Statistics, or a related quantitative field, is required, and advanced knowledge of machine learning is preferred.
Ability to elicit customers' knowledge, both explicit and tacit, about business objectives, strategic concerns, and policies related to the scope and success of the project.
Able to translate complex data into business insights and opportunities to create value.
Demonstrated experience of script programming languages, preferably Python, for data analytics and machine learning applications.
What you can expect
Every day, our teams work enthusiastically with our customers on innovative AI-based solutions and sophisticated optimization for the retail industry. Working with us means you can look forward to coworkers who use creativity to collectively develop ideas and appreciate each other's expertise. Mutual respect, friendly relationships and results-oriented work are an important part of our environment. We strive to be a family-friendly business and are open to modern working structures.
We believe that the individuality and diversity of our employees make a decisive contribution to our success. Our hiring process is based on qualifications and career profile. We welcome applications from all motivated candidates, regardless of age, gender, disability, sexual orientation, origin or religion.
Li-HG1
06/01/2020
Full time
Overview
The Data Scientist Consultant provides services that maximize the value of the customer's business through data-driven insights and enhanced decision support. This role will be responsible for advising the customer and recommending software configuration alternatives and implementing the software that is configured to optimize the solution so that the customer may realize the maximum value from the software.
Your day to day work will entail
Provide analytical services as part of a team conducting proofs-of-concept and identifying opportunities to create customer value
Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality
Extract and present data stories from customer data sets to demonstrate value of solution and guide the customer in their priorities
Build, configure and train models to support overall project objectives, and run simulations and what-if analyzes to evaluate alternative scenarios
Support the successful delivery of the solution to the customer by making recommendations and providing quantitative evidence of the project's results
Work as part of a highly motivated, interdisciplinary and agile team
You are / should have
Graduate degree in Operations Research, Statistics, or a related quantitative field, is required, and advanced knowledge of machine learning is preferred.
Ability to elicit customers' knowledge, both explicit and tacit, about business objectives, strategic concerns, and policies related to the scope and success of the project.
Able to translate complex data into business insights and opportunities to create value.
Demonstrated experience of script programming languages, preferably Python, for data analytics and machine learning applications.
What you can expect
Every day, our teams work enthusiastically with our customers on innovative AI-based solutions and sophisticated optimization for the retail industry. Working with us means you can look forward to coworkers who use creativity to collectively develop ideas and appreciate each other's expertise. Mutual respect, friendly relationships and results-oriented work are an important part of our environment. We strive to be a family-friendly business and are open to modern working structures.
We believe that the individuality and diversity of our employees make a decisive contribution to our success. Our hiring process is based on qualifications and career profile. We welcome applications from all motivated candidates, regardless of age, gender, disability, sexual orientation, origin or religion.
Li-HG1
