90 jobs found

Back us up in the backend and help keep the frontend stay golden! Build the backend (PHP) Support the development of the frontend of our products (a lot of JavaScript) Bring in your personality, skills, and development ideas Your Skills "Full Stack" You have extensive PHP and JavaScript experience You have some knowledge of nginx webservers, MySQL databases, and linux (CentOS/RedHat) You care about performance You speak German and/or English You are a sociable geek (the emphasis is on sociable) :) Your Benefits Feel an impact! Develop in an agile and human way, with releases taking minutes not hours A feeling of impact and responsibility, with direct feedback from our team and customers A place where you can get things done – no unnecessary meetings and admin stuff An interdisciplinary team with product & account managers, designers, and developers Flexibility, in order not to miss out your private life Colleagues that feel like family in a cosy place in the heart of St. Gallen What is Frontify? Frontify is a fast-growing company based in St. Gallen (Switzerland) with 75 people currently on board. We create an all-in-one brand management software, increasing brand consistency through centralized platform collaboration – for big businesses and small.

Nexthink is a dream software company founded in 2004 and headquartered in Lausanne, Switzerland. With offices in France, UK, Germany, Spain, UAE, Saudi Arabia and the US, we are proudly represented by 300 Nexthinkers, more than 25 nationalities and 900+ happy clients from the Fortune 5000. Nexthink is a leader in end-user experience management. By combining real-time endpoint analytics and end-user feedback Nexthink’s mission is to help IT improve business impact. Nexthink’s unique analytics & visualizations provide new insight and enable IT to adopt proactive operations, reduce costs and ultimately enhance end-user business productivity. Thanks to our fantastic growth we are looking for new rock stars! Job Description As PM for Machine Learning and AI you will be responsible and empowered to deliver end-to-end product features requiring AI techniques. As part of your job you will spend time with our customers to clearly identify the issues we want to help them solve and then work with your team to bring the best solutions to market, following a highly iterative and incremental process. Qualifications You are extremely passionate about solving challenging, real-life problems that are too complex to handle for human beings or even conventional software. You understand that the most important consideration when discussing about data is not whether we need deep learning or random decisions forests but instead   the need to correctly identify what is the problem that we want to solve. You also understand the importance of creating a great working environment, having fun with your team, being iterative while delivering value and spending a lot of time with users. Experience delivering to market end-to-end AI projects as part of a product. Experience in machine learning areas such as pattern recognition, predictive modeling, time series analysis, anomaly detection, knowledge graphs, etc. Experience implementing machine learning algorithms such as ensemble methods, clustering, deep neural networks, decision trees, etc. Outstanding communication and teamwork skills, and social awareness. Ability to drive complex projects with minimal oversight, delivering results incrementally and pragmatically. Demonstrated ability to collect user feedback and understand customer pain points. Enthusiasm for working in an international, collaborative and fast-paced environment and learning new technologies. Professional-level English, spoken and written. MSc/PhD in mathematics or computer science is a plus. Additional Information This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration.

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

We’ve built the world’s most successful cigarette company, with the world’s most popular and iconic brands. Now we’ve made a dramatic decision. We will be far more than a leading cigarette company. We’re building PMI’s future on smoke-free products that are a much better choice than cigarette smoking. Our company is changing dramatically. Be part of the biggest transformation in the history of our company. You can be part of a truly dynamic worldwide team dedicated to a bold new vision. We are seeking a Citizen Data Scientist to join Philip Morris Digital based in our Operations Centre in Lausanne, Switzerland. We want to disrupt the way we make decisions with the stories told by data. We believe that every decision, every day, should be driven by data driven insights. More than a year and half ago, Philip Morris International (PMI) has established the Enterprise Analytics and Data (EAD) organization with a dedicated Data Science team. We need to accelerate the identification and formulation of data science use cases with the highest importance for RRP. This starts with ideation, hypothesis formulation and data science Use Case build based on in-depth knowledge of a subject domain current challenges and needs. Your main role will be to deliver product, competitor, market and industry consumer intelligence and provide actionable insights to our digital, commercial and other functional teams and affiliates. You will be responsible for: Information gathering & evaluation: collect, read, interpret, integrate and maintain information from various relevant stakeholders, with a focus on RRP relevant intelligence  Analyzing & hypothesis: analyze the status quo of processes, related data and various relevant inputs to identify the root cause of problems and identify opportunities to solve problems an derive meaningful and impactful insights Key Metrics & Dashboards: define and evaluate key metrics, understand what moves them and why own conceptualizing, developing, and maintenance of dashboards and visualizations to share in-sights Collaboration: collaborate with various stakeholders to source, evaluate and prioritize the information required (i.e. data scientists, business owners, data engineers, business analysts, data managers, data architects etc.)  Communication, Data story telling & visualization: translate findings and results into a compelling narrative About you: Strong experience in commercial intelligence, market research, business planning and business analytics, in Consumer Packaged Goods FMCGRetail industries preferred. Domain expertise ability to share the most effective way the data driven in-sights  Ability to understand & support data models by easy-to-use interactive BI dashboards Experience in SQL & Jupyter (ideally) Understanding of Python use in Analytics delivery Strong and practical experience in using Visualization tools Business Acumen – ability to understand various business functions and markets, cross-functional interdependencies, business KPIs. Ability to ask the right questions, formulate problem statement and outcome of analytics according to audience. Confident to follow up, raise and challenge senior leaders. Priority Setting, Organizing and Project Management - ability to prioritize, plan, organize and parallel activities, ability to apply project management and agile practices Learning Agility and Dealing with Ambiguity - ability to quickly learnadapt to a new environment, new projects, new activities Drive and Passion for Results – ability to resolve matters till the end, at high speed and quality Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to a smoke-free future and ultimately replace cigarettes to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of September 30, 2018, PMI estimates that approximately 5.9 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 43 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites. PMI is an Equal Opportunity Employer As with many countries, Switzerland has immigration restrictions which will impact the possibility for non-nationals to work in the country. Profiles required for this position may not being specific enough to justify the recruitment of a person outside of Switzerland or countries having agreed upon free movement with Switzerland, please note that in this case a valid Swiss work permit or Swiss or EU-25EFTA citizenship is required to apply for this position.

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of over 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential. DESCRIPTION Currently we are looking for a   Senior Business Analyst with EDRM   for our Zurich office to make the team even stronger. RESPONSIBILITIES Analyze and evaluate the business processes, products and services Evaluate high level requirements in terms of feasibility and efforts (costs/benefit) Identify the impact on interfacing solutions Generate business rules/use cases and the corresponding software requirement specifications Review test cases, support of the testing units in test design and execution Support the project manager in BA related topics REQUIREMENTS Strong BA/analysis skills with technical background Several years of experience in banking, finance or insurance sector Good understanding of the software development lifecycle Strong analytical, problem-solving and synthesizing skills Being passionate about supporting the development of IT systems and applications Technically savvy with an appreciation for IT capability Experience with Jira, Confluence Experience with EDRM (eDiscovery Reference Model Experience) Data analysis Experience with archive systems and/or OpenText & CMOD are a plus Experience with legal topics Fluent verbal and written English mandatory Fluent German is a plus WE OFFER Competitive compensation depending on experience and skills Regular assessments and salary reviews Opportunities for personal and professional growth Friendly team and enjoyable working environment Flexible working schedule enables work life balance Regular corporate and social events Please note that any offers will be subject to appropriate background checks We do not accept CV from recruiting or staffing agencies

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 is part of the Integrated Business Planning team and is responsible for the execution of data-driven, self-regulating supply chain operating models utilizing data science algorithms as well as state-of-the-art technologies. Moreover, the Supply Chain Data Scientist will coordinate all data-related supply chain configuration and parameterization activities. Primary activities include, but are not limited to:  Data Science Support the data lead in the 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 Execute 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 Implement custom-fitted planning processes according to the specific requirements of each segment Execute globally parameter calculation framework (calculation methods, frequency, etc.) and provide guidance for local functions Enforce the definition 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.) Be a member of the community of practice to refine 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 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.  Search Firm Representatives Please Read Carefully:    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 Number of Openings :   1 Company Trade Name :  MSD

About Dathena Science Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information. Job Purpose We are looking for a Data Scientist with more than 5 years experience, that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Ph.D in related fields will be an advantage. Your primary focus will be in ​ applying   data mining, machine learning, deep learning, computer vision and natural language processing techniques, doing statistical analysis​ , and ​ building high quality predictionsystems   integrated with our products by ​ improving and extending the features used by our existing models, by ​   developing internal testing procedures​ , and ​   enhancing our system   for automated fraud detection​. While it is essential that the Data Scientist brings efficient and effective behavior to increase the productivity of the organization, is it also critical that the intern retain the creative spark that drives Dathena’s vision and values. Responsabilities Data mining and text/images preprocessing using state-of-the-art methods Building and optimizing classification models by using machine learning/deep learning techniques Images preprocessing, denoising and scaling problems solving Transfer learning techniques applying for sentiment analysis and entities recognition problem solution Models interpretation by using text summarization and visualization approaches Supervising and supporting a team of scientists Skills & Qualifications Masters or PhD in Computer Science, Engineering, Statistics or a similar field. PhD preferred 5+ years of working experience in  Data Science area Strong programing skills in Scala/Python/Apache Spark Deep knowledge in NLP methods: Word2Vec/FastText, NER, Sentiment analysis Excellent understanding of machine learning and deep learning techniques and algorithms, such as K-means, Decision Tree/Random Forest, CNN/RNN, GAN  etc. Good applied statistics skills, such as distributions, statistical testing, regression,  etc. Good   knowledge in using query languages such as MySQL, Hive, Phoenix  etc. Soft skills Data-oriented personality Exceptional Oral and Written Communication skills Time management Interpersonal skills Critical Thinking Presentation skills Working conditions The Data Scientist  must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Location :  Lausanne, Switzerland, Dathena R&D Office

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 is part of the Integrated Business Planning team and is responsible for the execution of data-driven, self-regulating supply chain operating models utilizing data science algorithms as well as state-of-the-art technologies. Moreover, the Supply Chain Data Scientist will coordinate all data-related supply chain configuration and parameterization activities. Primary activities include, but are not limited to: Data Science Support the data lead in the 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 Execute 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 Implement custom-fitted planning processes according to the specific requirements of each segment Execute globally parameter calculation framework (calculation methods, frequency, etc.) and provide guidance for local functions Enforce the definition 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.) Be a member of the community of practice to refine 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 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. Search Firm Representatives Please Read Carefully: 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 Number of Openings: 1 Company Trade Name :  MSD

Our company, eonum, develops solutions for the reimbursement of medical services. Using Deep Learning and Natural Language Processing we analyze structured medical codings and unstructured medical documentation. Our clients are hospitals, public administrations and other players in health care. Job description You will be developing web applications and data analysis systems using artificial intelligence. Your involvement includes all product life-cycle steps including requirement analysis, design, implementation, deployment and maintenance. Required profile Mandatory: Open minded, creative and independent working personality, Programming expertise (Python, Ruby Java, Javascript) Basic knowledge of Machine Learning Basic knowledge of web development Basic knowledge of databases Sysop: Linux, Bash, Git German or French / good knowledge of English Optional but desirable experience with: Full Stack web development with various frameworks Design and implementation of user-friendly interfaces Machine Learning frameworks: Keras, Tensorflow Deep Learning / NLP / Data Science Design and maintenance of databases (MongoDB, PostgreSQL) Infrastructure management (Ubuntu Server, docker, systemd) For this challenging tasks our startup is looking for applicants, preferably students or graduates of computer science or related studies with a strong interest to work in a young team. We offer great flexibility and the necessary space for self-realization. For further Information do not hesitate to contact us. If you are interested in the position send your application via email to Tim Peter,  info@eonum.ch . Desired starting date is December 2018 or by arrangement.

Dathena is a Cybersecurity and Data Governance Startup based in Switzerland, Singapore and Paris. We work in close partnership with PwC, Google and NVIDIA. We are looking for 3 motivated interns who will work with us and our partners to improve our leading technology in managing the risk of confidentiality of the Major banks and Fortune 500 clients and discover key insights on the data they have. You will be able to work on challenging research projects related to your field of interest and help us building and improving our products' prediction systems. We supervise master thesis or standard internships. If you have fun with us and you like working for a fast growing company, you will have the opportunity to apply to a permanent position after the internship in one of our office!  Job Purpose We are looking for a Data Scientist Intern that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products by improving and extending the features used by our existing classifier, by developing internal testing procedures, and enhancing our system for automated fraud detection. While it is essential that the Data Scientist Intern brings efficient and effective behavior to increase the productivity of the organization, is it also critical that the intern retain the creative spark that drives Dathena’s vision and values. This position requires  to be patient and perseverant in order to discover issues with huge amounts of data, and resolve them by adding new features to an existing validation tool. This is an iterative and on-going work. Examples of topics: Enhancing automated anomaly detection systems (Code and Play with NVIDIA GPUs and CPUs, for OCR, speech recognition, image matching, NLP, and more) Clustering with Spark Streaming and Kafka Anti phishing in blockchain application Structured data processing and detection of cross-source relationships  Manage knowledge and facilitate its accessibility with natural interactions  Classification optimization and accuracy improvement through word embedding methods  Integration of hybrid approach for Entity Recognition methods  Pattern recognition and smart filtering  Graph-based methods for text summarization Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Creating automated anomaly detection systems and constant tracking of its performance Skills & Qualifications Excellent understanding of NLP, machine learning and deep learning techniques and algorithms  Good programming skills: Scala, Java, knowledge in using query languages such as SQL and NoSQL  Nice to have: Kafka, Spark-Streaming, HBase  Software engineering best practices: continuous integration with git, Jira, BitBucket Soft Skills Fluent in English Data-oriented personality Exceptional Oral and Written Communication Skills Time management Interpersonal Skills Critical Thinking Presentation Skills Proactive and interested in the area of data security and governance. This temporary position may be converted into a full-time job. Working conditions The Data Scientist Intern will be part of a highly qualified and dynamic team where he will be able to learn and improve himself.         The Data Scientist Intern must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required. Location : Switzerland - Lausanne, R&D Office

Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy. Job purpose This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product. Responsibilities Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies. Oversee client service requests acting as a service delivery and escalation manager. Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues Build client success and prioritization plans aligned to key performance indicators and objectives. Ensure key accounts are updated on new product features and produce roadmaps to implement. Educate clients on the value of the overall solution and encourage optimal utilization. Channel customers’ feedback to the Dathena product team. Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs. Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field. Key metrics Customer and Partner satisfaction Implementation duration # of conversion of Customers to subscription Contributions to product and sales process improvement Desired Experience Comfortable managing technical conversations with technical and non-technical stakeholders. Problem-solving skills around technical, product, and business questions. Ability to build great relationships with technical and non-technical customers Contribute to the success of a dynamic and growing organization Good knowledge in using query languages such as SQL, Hive, Pig, etc. Good scripting and programming skills: Bash, Python, Scala, Java. Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable Knowledge with NoSQL databases, such as Cassandra and HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Soft Skills Fluent in English; French or German is a plus Data-oriented personality Exceptional Oral and Written Communication Skills Time management Interpersonal Skills Critical Thinking Working conditions  As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.

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.

Currently we are looking for a   Senior Business Analyst with Kofax   for our Zurich office to make the team even stronger. You will be working in the Records and Documents Management IT team that is managing the memory of our client: maintaining 40+ archives around the globe also responsible for the scanning and capturing solutions of the bank. RESPONSIBILITIES Analyze and evaluate the business processes, products and services Evaluate high level requirements in terms of feasibility and efforts (costs/benefit) Identify the impact on interfacing solutions Generate business rules/use cases and the corresponding software requirement specifications Review test cases, support of the testing units in test design and execution Support the project manager in BA related topics REQUIREMENTS Strong BA/analysis skills with technical background Strong knowledge of Kofax Important: BDD using Cucumber/Gherkin Good to have: C#/.NET, Ruby experience OCR scanning, capturing knowledge is an advantage Several years of experience in banking, finance or insurance sector Good understanding of the software development lifecycle Strong analytical, problem-solving and synthesizing skills Being passionate about supporting the development of IT systems and applications Technically savvy with an appreciation for IT capability Data analysis Fluent verbal and written English is mandatory Fluent German is a plus WE OFFER Competitive compensation depending on experience and skills Regular assessments and salary reviews Opportunities for personal and professional growth Friendly team and enjoyable working environment Flexible working schedule enables work life balance Regular corporate and social events Please note that any offers will be subject to appropriate background checks We do not accept CV from recruiting or staffing agencies