20 Big Data jobs

OVERVIEW The purpose of the Data Analyst is to understand current and future analytics requirement for PPMD (Product Portfolio Management and Deployment), and the impact on the existing reporting system supported by the IT team. This role is also responsible to map the various data sources for comprehensive reports, build mock-up or MVP for other groups in PPMD and maintain dashboard under Product Deployment Support group responsibility. This role will liaise with cross-functional streams inside PMI (S&I, IT, Operation Excellence) KEY ACCOUNTABILITIES Support and manage reporting dashboard belonging to PLM System support team such as KPI for Process adherence Understand and support data extraction strategy with a specific short term focus on RRP products and PLM processes Analyze and propose a reporting roadmap for PPMD System support team in collaboration with the other functions of the Deployment team, Lead the group of Reporting Power users available in the region to increase regional autonomy and knowledge sharing Support PPMD OC function having limited analytics resource for the development of report Identify improvements for our existing IT reporting infrastructure in collaboration with IT Consult cross functional team, data scientist, product team, information System to derive value for existing data and contribute to the development of improved data collection and visualization tools Investigate new analytics capabilities like big data or Data lake solutions KEY SKILLS & EXPERIENCE   Bachelor or Master in Business, Information Systems or relevant Information Technology degree Good technical IS system knowledge spanning application delivery and support (DevOps) and third party supplier management Experience with the following: Tableau, Oracle OPLA, SQL scripting, Excel Macro Minimum 2-3 years of experience in designing and developing data modelling, data visualization or analytics using technologies such as Tableau or Oracle OPLA Fluent English

MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.  Our Manufacturing Division is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that’s committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe. The Supply Chain Data Scientist Lead is part of the Integrated Business Planning team and has the overall accountability for the definition and implementation of data-driven, self-regulating supply chain operating models utilizing data science algorithms as well as state-of-the-art technologies. The Supply Chain Data Scientist Lead will coordinate of all data-related supply chain configuration and parameterization activities and will lead a small team of data scientists.  Primary activities include, but are not limited to: Data Science Construct an analytical framework for data analytics based on an understanding of business requirements and operational processes Extract relevant information from available data sources for further analytical processing, e.g. data mining Process, cleanse, and verify the integrity of data used for analysis Conduct data analyses, develop mathematical models, implement prototypes, and guide the team conceptually  Determine optimal mathematical approach to business optimization requirements (e.g. clustering, decision tree, machine learning)  Interpret modeling results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations Identify new strategic application areas and use cases Coordinate collaboration with different functional teams to implement models and monitor outcomes Serve as interface between business and IT departments Validating achieved process performance with meaningful KPIs Focus: Supply Chain Segmentation & Parameterization Coordinate the development of data-centric Supply Chain Operating models  Drive the segmentation of business objects in the supply chain (e.g. products, markets, customers) on the basis of mutual characteristics Coordinate the identification and assignment of tailored strategies to identified segments Support the application of custom-fitted planning processes according to the specific requirements of each segment Support the global parameter calculation framework (calculation methods, frequency, etc.) and provide guidance for local functions Support the definition and alignment of global planning parameters (e.g. lead times, MOQ, order cycles) with the means of SC segmentation and data-driven algorithms to enable SC model configuration and to optimize service level, cost, and inventory (with Sales, Production, Purchasing, etc.) Support the definition of planning & inventory strategies Develop processes and tools to monitor and analyze model performance and data accuracy Ensuring continuous improvement based on the evaluation metrics of model performance Doing ad-hoc analysis and presenting results in a clear manner Qualifications Minimum Requirements A Master's degree or Phd in Business, Information Technology or related field 5+ years of experience in data sciences/ big data or equivalent Pro-active, result driven, and target oriented execution of role High motivation to strive for and facilitate the overall company optimum Distinct understanding of organizational culture and dynamics Professionalism and maturity required to effectively interact with senior management Strong project management skills Ability to produce outstanding creative and analytical solutions based on  thorough analyses of complex processes and business relationships Additional Skills Specific professional competencies Advanced Supply Chain process knowledge Excellent understanding of supply chain configuration and supply chain planning and proven track record in related roles  Excellent understanding of business processes and supply chain principles and practices Excellent understanding of Supply Chain Configuration & Parametrization principles Excellent understanding of Supply Chain Setup & Segmentation frameworks Strong experience in supply chain performance measurement, identification & application of error metrics, root-cause analysis, etc. Excellent understanding of pharmaceutical supply chain specifics Good understanding of the company’s supply chain network Technical & language skills Advanced analytical and conceptual skills (ideally with a certification of an established education instance, e.g. IBM Watson IoT Data Science certification) Excellent understanding of machine learning algorithms (Clustering, Neural Networks, Decision Trees) Excellent knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Excellent knowledge of and hands-on experience in application of “Cross Industry Standard Process for Data Mining” (CRISP-DM) Experience in analyzing complex datasets and building mathematical predictive and prescriptive models in a practical business context Excellent command of English with a second / third language preferred Practical experience in working with Kinaxis software, esp. knowledge of the Rapid Response data model, etc. Your role at MSD is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At MSD, we’re inventing for life. MSD is not accepting unsolicited assistance from search firms for this employment opportunity.  Please, no phone calls or emails.  All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD.  No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means. Job :  Supply Chain Dev&Optimization Primary Location :   EMEA-Switzerland-LU-Luzern Employee Status :   Regular Travel :   No Number of Openings :   1 Company Trade Name :  MSD

MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.  Our Manufacturing Division is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that’s committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe. The Supply Chain Data Scientist Lead is part of the Integrated Business Planning team and has the overall accountability for the definition and implementation of data-driven, self-regulating supply chain operating models utilizing data science algorithms as well as state-of-the-art technologies. The Supply Chain Data Scientist Lead will coordinate of all data-related supply chain configuration and parameterization activities and will lead a small team of data scientists.  Primary activities include, but are not limited to: Data Science Construct an analytical framework for data analytics based on an understanding of business requirements and operational processes Extract relevant information from available data sources for further analytical processing, e.g. data mining Process, cleanse, and verify the integrity of data used for analysis Conduct data analyses, develop mathematical models, implement prototypes, and guide the team conceptually  Determine optimal mathematical approach to business optimization requirements (e.g. clustering, decision tree, machine learning)  Interpret modeling results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations Identify new strategic application areas and use cases Coordinate collaboration with different functional teams to implement models and monitor outcomes Serve as interface between business and IT departments Validating achieved process performance with meaningful KPIs Focus: Supply Chain Segmentation & Parameterization Coordinate the development of data-centric Supply Chain Operating models  Drive the segmentation of business objects in the supply chain (e.g. products, markets, customers) on the basis of mutual characteristics Coordinate the identification and assignment of tailored strategies to identified segments Support the application of custom-fitted planning processes according to the specific requirements of each segment Support the global parameter calculation framework (calculation methods, frequency, etc.) and provide guidance for local functions Support the definition and alignment of global planning parameters (e.g. lead times, MOQ, order cycles) with the means of SC segmentation and data-driven algorithms to enable SC model configuration and to optimize service level, cost, and inventory (with Sales, Production, Purchasing, etc.) Support the definition of planning & inventory strategies Develop processes and tools to monitor and analyze model performance and data accuracy Ensuring continuous improvement based on the evaluation metrics of model performance Doing ad-hoc analysis and presenting results in a clear manner Qualifications Minimum Requirements A Master's degree or Phd in Business, Information Technology or related field 5+ years of experience in data sciences/ big data or equivalent Pro-active, result driven, and target oriented execution of role High motivation to strive for and facilitate the overall company optimum Distinct understanding of organizational culture and dynamics Professionalism and maturity required to effectively interact with senior management Strong project management skills Ability to produce outstanding creative and analytical solutions based on  thorough analyses of complex processes and business relationships Additional Skills Specific professional competencies Advanced Supply Chain process knowledge Excellent understanding of supply chain configuration and supply chain planning and proven track record in related roles  Excellent understanding of business processes and supply chain principles and practices Excellent understanding of Supply Chain Configuration & Parametrization principles Excellent understanding of Supply Chain Setup & Segmentation frameworks Strong experience in supply chain performance measurement, identification & application of error metrics, root-cause analysis, etc. Excellent understanding of pharmaceutical supply chain specifics Good understanding of the company’s supply chain network Technical & language skills Advanced analytical and conceptual skills (ideally with a certification of an established education instance, e.g. IBM Watson IoT Data Science certification) Excellent understanding of machine learning algorithms (Clustering, Neural Networks, Decision Trees) Excellent knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Excellent knowledge of and hands-on experience in application of “Cross Industry Standard Process for Data Mining” (CRISP-DM) Experience in analyzing complex datasets and building mathematical predictive and prescriptive models in a practical business context Excellent command of English with a second / third language preferred Practical experience in working with Kinaxis software, esp. knowledge of the Rapid Response data model, etc. Your role at MSD is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At MSD, we’re inventing for life. MSD is not accepting unsolicited assistance from search firms for this employment opportunity.  Please, no phone calls or emails.  All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD.  No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means. Job: Supply Chain Dev&Optimization Primary Location:  EMEA-Switzerland-LU-Luzern Employee Status :   Regular Travel :   No Number of Openings :   1 Company Trade Name : MSD

Are you a Skilled Data Engineer interested in working for a highly respected financial organisation? I'm looking for someone who: Currently has a Masters or PhD in Computer Science, Business Informatics or Data Science Has experience working within in the field of Forensic, Forensic Technologies, Forensic Data, eDiscovery, Big Data etc. Experience using technologies such as; Python, Java, R, Shell, Cloud, Big Data, Artificial Intelligence, Data Science and Analytics. Speaks fluent   German and English Who is interested in: Work in a fast paced results driven environment, grasp new technology and contribute at a rapid pace. Research, experiment, and utilise leading Big Data, Machine Learning platforms and other emerging technologies to add business value. Managing and conducting forensic data acquisition of structured and non-structured data sources and systems (mobile devices, computers, servers, cloud, etc.) Prepare, perform and manage data analyses, benchmarking research and evaluations to assist proactive, detective and investigative regulatory and compliance projects in the scope of general corporate compliance, fraud and anti-bribery and corruption, anti-trust, etc. For a company who: Provide a dynamic work environment that is fast-paced and often reactive. They are flexible, responsive, and above all committed to the quality and integrity of the work they do. Offer an independent working environment, where they focus on developing the people within the teams. This is a fantastic opportunity for a Data Engineer in the Zurich area. I am urgently looking for candidates, get in touch as CV's will be immediately reviewed!

Mach mit bei uns Du konzipierst, designst und realisierst innovative Business Intelligence und Data Warehouse Lösungen mit Microsoft-Komponenten Du unterstützt unsere Kunden vor Ort (Deutschschweiz) in allen Phasen der Projektumsetzung Du bist ein Macher - arbeitest in einem Experten-Netzwerk mit hoher Eigenverantwortung und hast die Möglichkeit, als Trainer Kurse zu leiten Du hast ein IT-orientiertes Studium (ETH, Uni, FH) erfolgreich abgeschlossen oder eine gleichwertige, mehrjährige Berufserfahrung Du verfügst über einige Jahre Erfahrung im Bereich Business Intelligence und Data Warehousing Du hast Interesse an Big Data, Data Science, Cloud und agiler Softwareentwicklung (z.B. Scrum) Über Trivadis 650 Kolleginnen und Kollegen an 14 Standorten in 4 Ländern. Spezialisten, die neugierig sind und Lust haben, die digitale Zukunft zu gestalten. Macher, die ihre Projekte mit technischer Kompetenz und Kreativität voranbringen. Individuen, die ihre Freiheit schätzen und ihre Arbeit selbstverantwortlich organisieren. Menschen, die sich als Team verstehen, gegenseitig unterstützen und voneinander lernen. Du, wenn Du Lust hast, gemeinsam mit uns Erfolge zu erzielen und zu feiern.

Deine Aufgabe. Ob in der Cloud oder im eigenen Rechenzentrum: Virtuos beherrschst du die Big-Data-Welt und hilfst unseren Kunden damit, ihre Daten für die geschäftliche oder betriebliche Nutzung fit zu machen. Du erschliesst vielfältige Datenquellen performant und auf reproduzierbare Weise. Du erstellst, testest und überwachst verteilte Datenverarbeitungs-Pipelines. Du arbeitest bei der Erstellung von Machine Learning Modellen eng mit Data Scientists zusammen. Du erstellst Performanz- und Kostenschätzungen für unterschiedliche Use Cases. Du entwickelst und erstellst aussagekräftige Dashboards zur Visualisierung der aufgearbeiteten Daten Dein Talent. Du hast keine Angst vor Big Data, massiv skalierbaren Datenbanken, Cloud-Infrastrukturen oder verteilten Algorithmen. Du hast eine Passion für nachhaltige Software Entwicklung und konntest bereits in technischen Positionen Erfahrung sammeln. Neben deinen Kenntnissen mit Python und SQL bringst du idealerweise Hands-on Kenntnisse oder lebhaftes Interesse für Technologien wie Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes und Java oder .NET mit. Du hast ein gutes Verständnis von den Möglichkeiten in grossen Public Cloud Umgebung und vielleicht schon bei Amazon AWS, MS Azure oder Googles GCP Cloud-Ressourcen genutzt. Du hast einen Hochschulabschluss (ETH, Uni, FH) in Computer Science, Mathematik oder eine vergleichbare Ausbildung. Hervorragende Deutsch- und Englischkenntnisse werden für diese Position vorausgesetzt. Und Zühlke.    Bring dein Talent in einem hochqualifizierten Umfeld zur Entfaltung: Zühlke bietet dir ein innovatives Umfeld und eine langjährige Erfolgsgeschichte. In dieser Position erhältst du die einmalige Gelegenheit, unser Geschäft – empowering ideas - im Markt weiterzuentwickeln. 

Requirements:  blue-infinity part of Dentsu Aegis Network is hiring a Data Specialist Developer (Python Developer) to work from Lisbon with travels to Amsterdam, Netherlands to the DNA team (Data in Action). Role purpose The purpose of this role is to deliver new and enhanced bespoke data solutions to meet business requirements and provide technical guidance to other data solutions team members. Key Accountabilities Work on the custom ETL and data gathering platform that is tailored for the media industry. The platform is mostly written in Python, SQL and R Work on custom data solutions for large customers to produce a custom solution, extract value from gathered data ranging from kpi’s all the way up to processing, log level data that comes out of our digital media, like Google Analytics, DoubleClick, MediaMap, Math, Adobe Analytics etc. Establish and maintain effective relationships with technology and data suppliers to provide clean and consistent data and keep up to speed with new tools and technologies in the market Work closely with the data science team for ad hoc analysis of data sets, and with the research teams on automating returning client reports in dashboard tools Provide technical guidance to other dashboard back-end development team members Professional skills Academic background (HBO or University) in information sciences Strong analytical skills, ability to work with large datasets Ability to work independently in a fast-paced environment Ability to code review to ensure quality standards are being maintained You have a curious analytical mind, like to work independently and are pragmatic Key Experiences Experience in software development Solid experience working with MySQL, Python Exposure to Linux, Docker, Kubernetes is a pre Exposure to big data tools like Apache Airflow, Google BigQuery, Apache Spark Some experience of working with onshore / off-shore developments teams Experience in software development department/company Experience with cloud infrastructure, either GCP, AWS or Azure Experience with a Linux command line Familiar with Big Data tools like: Airflow, Spark, Elasticsearch, BigQuery Experience of working with software development teams using modern software development methodologies Experience and understanding of the software development lifecycle

Requirements:  blue-infinity part of Dentsu Aegis Network is hiring a Data Specialist Developer (Python Developer) to work from Lisbon with travels to Amsterdam, Netherlands to the DNA team (Data in Action). Role purpose The purpose of this role is to deliver new and enhanced bespoke data solutions to meet business requirements and provide technical guidance to other data solutions team members. Key Accountabilities Work on the custom ETL and data gathering platform that is tailored for the media industry. The platform is mostly written in Python, SQL and R Work on custom data solutions for large customers to produce a custom solution, extract value from gathered data ranging from kpi’s all the way up to processing, log level data that comes out of our digital media, like Google Analytics, DoubleClick, MediaMap, Math, Adobe Analytics etc. Establish and maintain effective relationships with technology and data suppliers to provide clean and consistent data and keep up to speed with new tools and technologies in the market Work closely with the data science team for ad hoc analysis of data sets, and with the research teams on automating returning client reports in dashboard tools Provide technical guidance to other dashboard back-end development team members Professional skills Academic background (HBO or University) in information sciences Strong analytical skills, ability to work with large datasets Ability to work independently in a fast-paced environment Ability to code review to ensure quality standards are being maintained You have a curious analytical mind, like to work independently and are pragmatic Key Experiences Experience in software development Solid experience working with MySQL, Python Exposure to Linux, Docker, Kubernetes is a pre Exposure to big data tools like Apache Airflow, Google BigQuery, Apache Spark Some experience of working with onshore / off-shore developments teams Experience in software development department/company Experience with cloud infrastructure, either GCP, AWS or Azure Experience with a Linux command line Familiar with Big Data tools like: Airflow, Spark, Elasticsearch, BigQuery Experience of working with software development teams using modern software development methodologies Experience and understanding of the software development lifecycle

Atos Consulting is a leading Swiss consulting company, part of the Atos group. We work with prestigious international clients in the areas of Industry, Pharma, Insurances, Transport, Trading, Telecommunications, Media and Energy. For our Zurich and Basel team, we are currently looking for a Big Data Consultant (m/f). Your responsibilities Design and development of Big Data and Data Integration solutions Design strategies to collect, store, analyse and visualize data from various sources for specific projects with the latest Big Data Technologies Work with the Solution Designers to help estimating of proposed projects Participate in workshops and design thinking sessions to elicitate requirements Apply technical understanding in the creation of user stories or the development of functional requirements Work on proofs of concepts and transform successful ones into business solutions Participate to trainings, conferences, user groups and become a “go-to” person in the company Constantly be aware of the latest big data trends and technologies on the marketS Spread your knowledge through tech talks within the organization Your profile MSc University degree in computer science or related area 2+ years of experience with Big Data tools, large-scale distributed applications and technologies 2+ years of experience working in a production environment of a Hadoop/Spark project Hands on experience with Hadoop/Spark, Hive, SQL and programming languages like Python, C# Experience Java and/or Scala Development would be beneficial Analytical and problem-solving skills, applied to a Big Data environment Experience with Agile methodologies Traditional Data Warehouse/ETL experience would be a plus Willingness to travel Fluent in German and English Are you interested joining a global and dynamic organization, working on challenging and exciting projects and being supported with training opportunities? Then send us your complete application. We look forward. For recruitment agencies: Atos Consulting does not accept unsolicited applications for any of the roles that we advertise. Furthermore, please note that no legal obligations or respective compensation would derive from such unsolicited applications. Thank you for your understanding.

The Company  Hitachi Vantara combines technology, intellectual property, and industry knowledge to deliver data-managing solutions that help enterprises improve their customers’ experiences, develop new revenue streams, and lower the costs of business. Hitachi Vantara elevates your innovation advantage by combining IT, operational technology (OT) and domain expertise. Join our team and our employee-focused culture and help drive our customers’ data to meaningful customer outcomes.  Responsibilities  Solution Design   Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations   Create compelling customized presentations tailored to prospects’ use case and vertical. Product Expert   Conduct technical Q&A sessions and demonstrations around Pentaho product features, installation, configuration, and best practices. Lead Evaluations   Design and scope focused evaluation plans that uniquely position Pentaho, are tied to prospect requirements, and prove out business value. Teamwork   Collaborate with big data experts, data scientists, consultants in Pentaho and Hitachi to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning   A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact   Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Pentaho and Hitachi. Qualifications Experience : Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).  Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.  Hands-on Hadoop experience  ETL, data warehousing, data engineering, data integration  Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC  Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy)  Security systems (e.g. LDAP, SSO, Kerberos)  Advanced analytics (e.g. R, Scala, Python, Weka, SAS)  Operating systems (e.g. Linux, Windows, shell scripting),  Understanding of Data Science and Machine Learning Education: B.A. or B.S. Degree from an accredited university (may substitute an  Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world. We are looking for an experienced Data Scientist, grounded with a strong  Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a  core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches. This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company. Your reponsabilities: Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry. Turn business and technical challenges into algorithmic and data-driven solutions. Supervised deployment of models and algorithms within the production environement. Ensure conitnuous improvement through industrialized machine learning pipeline. Collaborate and communicate to all levels of the company and externally (academic, start-up...). Build new and improved solutions for data collection, management and usage. Become an authorithy in Machine Learning / Artificial Intelligence within the company. Qualifications: Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics. Demonstrated experience with machine learning, operation research and datamining in professional environement. Proven ability to manage R&D projects and supervise research teams. Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms. Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...). Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated. Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners. Willing to assume additional responsibilities and to become a respected know-how carrier in our team

RESPONSIBILITIES: 7+ years of experience of IT platform implementation in a highly technical and analytical role. 5+ years’ experience of Big Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations. Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data. Strong understanding of ETL processes and data flow architectures and tools Have designed and built a scalable big data infrastructure that has been in use for several years Experience designing ETL processes and data flow architectures and tools Experience designing architectures that have to work in a highly regulated industry (finance domain). Experience designing architectures that can incorporate data from multiple data sources Experience educating other team members on a technology stack Highly technical and analytical, possessing 5 or more years of IT platform implementation experience. Deep understanding of Apache Hadoop 2 and the Hadoop ecosystem. Experience with one or more relevant tools ( Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro). Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto). Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc). Being a team player

RESPONSIBILITIES DESCRIPTION Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics and machine learning; enhance business resultsand improving consumer's lives every single day? If you have, join P&G: we offer you a career in Information Technology, starting as  Associate Data Scientist   in Geneva (CH) Your responsibilities will be: “Get into the details” on Data Science, using artificial intelligence, data visualization and analytic engines, release business building insights, generating plans from our data to serve consumers worldwide in better way. You will analyze and model on big datasets – translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations. You will answer business questions and propose solution for business problems by applying machine learning techniques and algorithms, and automatize analysis of consumer information or other deep learning data; explore their patterns and recommend business activities You will discover and invent next-generation business analytic capabilities for our category analysts and business partners Own our new creative applications from design-thinking up to user adoption Work actively and effectively with the data science team, multi-functional partners and senior management to achieve your project's objectives. Team-up with technology partners to translate your innovations into robust, scaled, analytic solutions Participate and improve P&G's analytic capability program at different levels of skill and seniority Build your own skills and knowledge through the job experience, coaching & training QUALIFICATIONS Qualifications - to  qualify  for  this  role  we  expect  following: Having a Bachelor or Master Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life-science etc) Passion to try new things, learn quickly and work well with diverse backgrounds. Excellent interpersonal skills, self-motivated, dynamic and can-do attitude Enthusiasm and curiosity about the intersection of business, technology and data. Fluency in English (written and oral) What could give you extra chances to have fun: Understanding of Advanced Analytical models (e.g. Deep Neuronal Networks, Regression & Classification, Bayesian Statistics, Optimization, Stochastic methods, Uncertainty Quantification, etc.) Skills in Scientific Computing: R, Python, C++, Java, Scala Experience with Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive Basic understanding of Business Intelligence Tools such as KNIME, Tableau, Spotfire... We offer: Your career in Procter & Gamble will start as Associate Data Scientist, offering Meaningful work from day one in a dynamic, diverse, multi-cultural and flexible working environment impacting future business results. Collaborative and multinational work environment. Excellent personal and professional development possibilities. 'Vibrant Living' offering on-site: Gym / Yoga / Sports-teams, Hair-Salon, Canteen, Agile workspace design, Flex-work arrangements possible, Company Shop etc Equal Opportunities for everybody #WeSeeEqual #LikeAGirl #GABLE #P&G Who we are Information Technology (IT) uses information and business knowledge to craft innovative solutions that change the way P&G runs business. Do you want to belong to one of the most advanced global IT and shared Services organizations in the world, transforming every single day the way business is done through technology and innovation? Do you have passion for technology and desire to learn and grow continuously? A career in IT with us will build your ownership and influencing skills and will provide you a breadth of experiences across multiple businesses, and depth of expertise. Just so you know: Apart from significant responsibilities from day 1, exceptional learning opportunities, and an inclusive and international working context, we also offer employees personalized flexibility designed to deliver business results and enable employees to grow their careers while meeting personal needs. At P&G, we don’t just offer a job, we offer a career with varying assignments and lots of development opportunities, so that we develop our leaders of tomorrow. Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability or any other legally protected factor. We value flexibility and life balance and we have tools and policies ensuring our people feel part of an inclusive community. Further helpful information to make the application process smooth: Just apply via clicking the button below Have your CV in English ready to attach Please note individual attachments cannot be larger than 500 KB LOCATION :   Geneva, Switzerland

Are you looking for a job? Then keep looking. We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either. Welcome to Advertima. We combine machine learning, computer vision, and big data to create reactive and personalized experiences in the real world. Imagine a future where you only get confronted with relevant information - always perceived as a positive experience. That’s exactly what we strive for. In short: We are a Tech-Startup and we develop an AI-driven marketing technology for personalized and fully-automated customer interaction. The mission is to merge the physical and online world seamlessly and to cover the whole customer journey. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help us shape our success story? Join our team as Senior Software Engineer: Your role... Design, develop, test, deploy, maintain and improve software Write robust and beautifully elegant code Manage individual project priorities, deadlines and deliverables Your profile… BSc/MSc in computer science or multiple years of experience taming the C++ beast Algorithmic background and rock-solid problem solving skills Designing patterns and writing clean code is as important to you as your daily coffee routine Experience in writing and testing concurrent code (we know it can be nasty) Experience with network programming using boost asio or boost beast You should feel comfortable creating high performant network applications; preferably with ZeroMQ. You do test-driven development, continuous integration and agile programming in your sleep Profound knowledge of C++ 11 & 14 Excellent teamwork and communication skills What we offer.. An international team of innovative and experienced start-up professionals An agile organisational model that distributes power across peers The opportunity to drive change, to influence and innovate A young, dynamic and flexible working environment A workplace in the new STARTFELD innovation hub (part-time from Zurich possible) Working with ML, IoT, Edge Attractive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

Are you looking for a job? Then keep looking. We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either. Welcome to Advertima. We combine machine learning, computer vision, and big data to create reactive and personalized experiences in the real world. Imagine a future where you only get confronted with relevant information - always perceived as a positive experience. That’s exactly what we strive for. In short: We are a Tech-Startup and we develop an AI-driven marketing technology for personalized and fully-automated customer interaction. The mission is to merge the physical and online world seamlessly and to cover the whole customer journey. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help us shape our success story? Join our team as Senior Computer Vision & Machine Learning Engineer: Your role... Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications Develop solutions for real world, large scale problems Your profile... MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field Algorithmic background and rock-solid problem solving skills Strong background in computer vision or machine learning Solid coding experience in system components and experience in various software engineering systems Passion for quality, performance and reliability Excellent teamwork and communication skills Ideally you will also have... Experience in multiple view 3D reconstruction, video tracking and deep learning Several years C++ experience and good knowledge of C++ 11/14 What we offer... An international team of innovative and experienced start-up professionals An organizational model that distributes power across peers (Holacracy) The opportunity to drive change, to influence and innovate A young, dynamic and flexible working environment A workplace in the new STARTFELD innovation hub (part-time from Zurich possible) Working with ML, IoT, Edge Attractive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

Reden wir Klartext. Bei uns erwarten Sie kein «Job» und keine «Stelle», sondern Aufgaben, Herausforderungen, Leistungsgebiete. Das gibt Ihnen die Chance zur Entfaltung. Sie sind kein Rädchen im Betrieb, sondern ein Motor, der etwas bewegen kann. Und für Ihre Leistungen werden Sie nicht nur bezahlt, sondern auch geschätzt.DAS IST IHR VERANTWORTUNGSBEREICH Ermitteln, Analysieren, Spezifizieren und Verwalten von Anforderungen und Abnahmekriterien im Umfeld Business Intelligence, Data Analytics, Big Data und Machine Learning Aktive Mitarbeit beim Aufbau und Etablierung eines agilen Requirements Engineering im Unternehmen Sicherstellen eines optimalen Schnittstellenmanagements zu in- und externen Stakeholdern Beratung- und Unterstützung der Fachbereiche bei IT-Vorhaben Planung und Koordination von Veränderungen an unseren BI-Applikationen und Schnittstellen DAS BRINGEN SIE MIT Höhere Ausbildung in (Wirtschafts-)informatik, Data Science oder betriebswirtschaftliche Ausbildung mit Zusatzqualifikationen Fundierte konzeptionelle Business Intelligence und Data Warehouse Kenntnisse Erfahrung als Requirements Engineer in einem agilen Umfeld von Vorteil Bereitschaft sich stetig weiterzubilden und in neue Gebiete einzuarbeiten wie z.B. Data Analytics, Big Data Motivierte, kommunikative Persönlichkeit mit hoher Kunden- und Serviceorientierung Systematische analytische Vorgehensweise mit hohem Qualitätsanspruch Sie übernehmen gerne Verantwortung sind initiativ und möchten eine zukunftsorientierte IT aktiv mitgestalten Erfahrungen mit SAP, Datawarehouse oder Big Data Lösungen von Vorteil Gute Deutschkenntnisse in Wort und Schrift DAS ERHALTEN SIE VON UNS Genial zentral: Ihr Arbeitsplatz am Aeschenplatz in Basel, Nähe Bahnhof SBB Taten statt Worte: flache Hierarchien und kurze Entscheidungswege Voller Support: wertschätzende Firmenkultur und starker Teamgeist Neue Wege: Raum und Offenheit für Ihre Ideen 1a Zukunft: persönliche und fachliche Weiterbildung Ziel in Sicht: regelmässige Laufbahnbesprechung und konkrete Umsetzungsplanung Schöne Entschädigung: attraktiver Lohn für Ihren Einsatz Klasse Vorsorge: im Bereich Pensionskasse und Unfallversicherung (1. Kl. Privat) Fitte Benefits: Halbtax-Abo, Mittagsbatzen, Gratisgetränke, Massage im Haus, Sportaktivitäten Wenn Sie Aussergewöhnliches leisten und erreichen wollen, dann bewerben Sie sich jetzt bei uns.  Das Human Resources Team freut sich auf Ihre Bewerbung und steht für weitere Anfragen zur Verfügung: +41 (0) 61 277 63 93

Ort:  Zürich, Switzerland Frühester Starttermin:  Sofort Für unser Delivery Center Data Science suchen wir einen sehr erfahrenen Berater im Bereich Data Science, sehr gerne mit aktuarieller Ausbildung. Unser Team unterstützt bei der Implementierung von SAP-Versicherungslösungen bei unseren Kunden. Neben dem technischem Know-how ist in dieser Rolle wichtig in einer globalen Team-Umgebung zu arbeiten, effektiv zu kommunizieren und Ergebnisse zu erzielen. Die Aufgaben an denen Sie wachsen:   Sie helfen unseren Kunden, den Wert, der in ihren Daten steckt, zu identifizieren und begleiten den Kunden von der Vision bis zum Go-Life Sie sind verantwortlich für die Aufbereitung und Analyse großer strukturierter und unstrukturierter Daten sowie Mustererkennung mittels Verfahren aus dem Bereich Data Mining, Predictive Analytics und Machine Learning. Dabei unterstützen Sie die Selektion der am Markt verfügbaren Visualisierungs- und Analysetools sowie bei der Weiterentwicklung unserer Big Data & Analytics Plattformen Sie finden innovative Lösungen, die unsere Algorithmen auf die nächste Stufe heben und in einem wirtschaftlichen Kontext erfolgreich angewendet und gewartet werden können Sie unterstützen das Data & Analytics Competence Center bei der Bereitstellung von Analytics Solutions auf Basis modernster Technologien Das Profil mit dem Sie punkten: Abgeschlossenes Hochschulstudium der (Wirtschafts-) Mathematik, Computerwissenschaften oder -statistik oder AI, mit Abschluss Diplom, Master oder Promotion Mehrjährige Berufserfahrung (> 5 Jahre) in der quantitativen Forschung und statistischer Datenanalyse Starke analytische Fähigkeiten und exzellente Problemlösungsansätze Erfahrung in der Analyse komplexer Daten und der Vorstellung von Arbeitsergebnissen vor kompetentem Fachpublikum Erfahrung mit Big Data Technologien (Natural Language Processing, Machine Learning, Social Media Analysis, Text Mining, Web Crawling, Cognitive Computing) Praktische Übung in predictive Modelling und der Analyse großer Datenmengen Fundierte Erfahrungen in R (R Studio) Sicherer Umgang mit einen der folgenden Werkzeuge: SAS, SPSS, S+ oder STATA Programmiererfahrung in mindestens einer der folgenden Sprachen: C++, C#, Java, PHP, Python, Ruby Erfahrung mit SQL und/oder MPP Datenbanken Kommunikationsstärke und Durchsetzungsvermögen Fließende Deutsch- und Englischkenntnisse Reisebereitschaft auf internationaler Ebene Freude bei der Arbeit in einem internationalen Team Das ist unser Angebot: Suchen Sie Abwechslung statt Alltagsroutine? Teamspirit statt starrer Hierarchien? Dann sind Sie bei uns richtig. Wir bieten Ihnen spannende verantwortungsvolle Aufgaben, attraktive Karrierechancen und internationale Perspektiven. Mehr noch: Bei uns finden Sie ein flexibles Arbeitszeitmodell, großzügige Sozialleistungen und ein professionelles, kollegiales Arbeitsklima in einem hochmotivierten Team. msg global   solutions  ermöglicht Ihnen einen praxisorientierten Einstieg, der von Anfang an Auslandseinsätze in anspruchsvollen Projekten vorsieht. Dabei werden Sie von einem Mentor begleitet, der Ihnen als fester Ansprechpartner zur Verfügung steht. Wir unterstützen die Entwicklung Ihrer Karriere sowohl in fachlicher als auch technischer Richtung durch umfangreiche Fort- und Weiterbildungen mit entsprechender Zertifizierung. Darüber hinaus bieten wir Ihnen ein attraktives, leistungsorientiertes Vergütungsmodell, Altersversorgungspakete, großzügige Sozialleistungen und ein flexibles Arbeitszeitmodell. Das ist Ihr Weg zu uns Sie sind neugierig geworden? Dann freuen wir uns über Ihre aussagekräftigen und vollständigen Bewerbungsunterlagen per E-Mail an:  Valerie.Stetskamp@msg-global.com . Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Ihre Bewerbung behandeln wir absolut vertraulich und gemäß den gesetzlichen Datenschutz-Regelungen. Weitere Informationen zum Umgang mit Ihren Bewerber-Daten finden Sie  hier .  msg global   solutions  fördert Chancengleichheit. Contact : Valerie Stetskamp HR Advisor  Valerie.Stetskamp@msg-global.com