67 Data Engineering 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

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

Data Analyst for Business Platform Monitoring  Global Wealth Management  Job Reference: 184113BR  City: Opfikon, Switzerland  Job Type: Full Time Your role Do you enjoy doing pioneer work and bringing digitalization in the organization? Are you solid as a rock when you’re juggling a lot of tasks? We are looking for someone with a strong analytical background and keen interest in financial products to: Monitor activities on a large scale Wealth Management business platform: investigate data inconsistencies, shortcomings and error patterns and proactively proposes measures to mitigate risks using data analytics techniques Design and implement automatized platform related system checks; define business requirements and processes to address platform related deficiencies Create and implement automatized user specified reports to execute quality assurance on all products, processes, services on our platform Manage incidents and task forces; collaborate closely with different stakeholders from the IT and business side and effectively communicate to senior management at all levels Your team We, in Investment Platforms and Solution (IPS) Platform Development & Management deliver a highly differentiated component based scalable IPS platform supporting the total wealth advisory process and ensuring the seamless execution of global orders for our clients and client advisors. We play a key role in controlling, monitoring and steering the platform on which all `under contract` business is carried out. Your expertise You have: University degree (e.g. Economics or Engineering) or equivalent and any other certification (e.g. CFA, AZEK, IPMA, CBAP) is an advantage Professional experience in the financial service or banking industry (advisory or discretionary mandate business know how) is an advantage Strong analytical skills, keen to work with large amounts of data Technical flair and experience with SQL, R or Python You are: Methodical, concise and accurate, with strong attention to detail and able to work under pressure Committed to quality, time and delivery with good prioritization skills Adaptable, with strong interpersonal skills Able to assess new ideas, provide implementable solutions and see it through Fluent in English and German About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us? What we offer Together. That’s how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance. Keen to achieve the work-life agility that you desire? We're open to discussing how this could work for you (and us).  Take the next step Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now. Contact Details :UBS HR Recruiting Switzerland Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.      

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

Im Bereich Business Analytics Services suchen wir zur Verstärkung unseres Teams in Zürich Oerlikon einen BI & Reporting Specialist. Lieben Sie es mit grossen Datenmengen zu arbeiten? Ist das Gewinnen von Erkenntnissen aus Daten eine Ihrer Leidenschaften? Sind Sie zudem ein strukturierter, analytischer Denker, der sich mit Elan und Freude in komplexe Aufgabenstellungen rund um das Themengebiet Analytics einarbeitet und mit kreativen Lösungen zu begeistern vermag? Dann suchen wir Sie als jemanden, die/der: Ihre Aufgaben die Fachverantwortung und Teilprojektleitung innerhalb des neu gewonnenen Reporting-Bereichs für die Gestaltung und den Aufbau von Steuerungsinstrumenten für das Front-Office (Call Center) inklusive Aufbau der benötigten Datenbasis sowie des operativen und strategischen Reportings übernimmt, die Bedürfnisse und Fachanforderungen der Fachabteilung aufnimmt und die benötigten Quelldaten und Reports identifiziert, Fachkonzepte und Spezifikationen als Basis für die technische Umsetzung erstellt, diese in relationale und dimensionale Datenmodelle nach gängigen Best Practices umsetzt und bei der kompletten Entwicklungskette vom ETL-Prozess (SSIS, TSQL, DataVault) bis hin zum Reporting (SSRS, Tableau) mitwirkt. Sie bieten   Abgeschlossenes Fach-/Hochschulstudium der Fachrichtung Wirtschaftsinformatik oder gleichwertige Ausbildung Mindestens 5 Jahren Erfahrung im DWH/BI Umfeld in grösseren Unternehmen sowie sehr gute analytische und konzeptionelle Fähigkeiten, fundierte Kenntnisse in der Datenmodellierung, dem Requirement Engineering und in der Leitung kleinerer bis mittlerer Projekte Mehrjährige praktische Erfahrung in mehreren der aufgeführten Technologien: Datenbankensystem MS SQL Server, Microsoft BI, im speziellen T-SQL, SSIS, SSRS und/oder Tableau Hohe Eigeninitiative, Fähigkeit stufengerecht zu überzeugen und umzusetzen, Teamplayer Sie haben Freude an der Präsentation von Resultaten und vermögen dank Ihren sehr guten Kommunikationsfähigkeit in Deutsch wie Englisch unsere internen Kunden für unsere Analytics-Dienstleistungen zu begeistern Zudem zeichnen Sie sich als eine lösungsorientierte Persönlichkeit mit einem hohen Qualitätsbewusstsein aus Kenntnisse in der Finanzdienstleistungsbranche von Vorteil, fachliches Interesse vorausgesetzt Wir bieten In unserer Unternehmensgruppe arbeiten Sie in einem dynamischen und kreativen Arbeitsumfeld mit guten Entwicklungsmöglichkeiten. Wir pflegen eine offene und unkomplizierte Kultur und bieten unseren Mitarbeitenden nebst gründlicher Einführung, attraktiven Anstellungsbedingungen und umfangreichen Lohnnebenleistungen auch weitreichende Entscheidungskompetenzen.   Nehmen Sie an unserer Erfolgsgeschichte teil und bewerben Sie sich online mit Ihren vollständigen Bewerbungsunterlagen bei: Aduno Gruppe Patrick Grzinic Human Resources Management Über eine Million Kunden vertrauen der Aduno Gruppe beim bargeldlosen Zahlen, bei Mietkautionsbürgschaften, bei Privatkrediten und bei Leasinggeschäften. Über 800 qualifizierte Mitarbeitende setzen sich mit wegweisenden Dienstleistungen und Technologien für die Zufriedenheit der Kunden und Partner ein.   www.aduno-gruppe.ch

Sind Sie ein strukturierter, analytischer Denker, der sich mit Elan und Freude in komplexe Fragestellungen rund um das Themengebiet Customer Analytics einarbeitet und mit kreativen Lösungen unsere Kunden für unsere Dienstleistungen begeistern will? Ist das Gewinnen von Erkenntnissen aus Daten Ihre grosse Leidenschaft? Dann suchen wir Sie als jemanden zur Verstärkung unseres Teams im Bereich Business Analytics Services mit Arbeitsort in Zürich Oerlikon die/der: Aufgaben die Fachbereiche bei der Beantwortung von analytischen Fragestellungen rund um unsere digitalen Bezahllösungen und Mehrwertdienstleistungen mit state-of-the-art Datenanalysemethoden unterstützt fundierte Analysen zur Vorhersage des Kundenverhaltens bei der Nutzung unserer digitalen Dienstleistungen durchführt und die so gewonnenen Erkenntnisse inklusive daraus abgeleiteten Massnahmen adressatengerecht aufbereitet und präsentiert in Projekten rund um Digital Payment analytische Expertise einbringt und dabei sowohl mit dem Business als auch mit den IT-Abteilungen die gleiche Sprache sprechen kann zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert Profil   zusammen mit unserem Produktmanagement neue und begeisternde Customer Analytics-Lösungen gestaltet, entwickelt und erfolgreich auf dem Markt positioniert Sie können mehrjährige praktische Erfahrung in den Themenkomplexen «Customer Analytics» und «Customer Relationship Management» vorweisen Sie haben Freude an der Präsentation von Resultaten und vermögen dank Ihrer sehr guten Kommunikationsfähigkeit in Deutsch wie Englisch unsere internen Kunden und externen Partner für unsere Analytics-Dienstleistungen zu begeistern Sie sind ein guter Team-Player, der dank seiner inspirierenden und motivierenden Art zusammen im Team ausgezeichnete Resultate zu erzielen vermag   Sie verfügen über Praxiskenntnisse in den Analyseumgebungen R, Python und/oder SAS sowie im Datenbankensystem MS SQL Server Zudem zeichnen Sie sich als eine lösungsorientierte Persönlichkeit mit einem hohen Qualitätsbewusstsein aus Chancen In unserer Unternehmensgruppe arbeiten Sie in einem dynamischen und kreativen Arbeitsumfeld mit guten Entwicklungsmöglichkeiten. Wir pflegen eine offene und unkomplizierte Kultur und bieten unseren Mitarbeitenden nebst gründlicher Einführung, attraktiven Anstellungsbedingungen und umfangreichen Lohnnebenleistungen auch weitreichende Entscheidungskompetenzen.   Nehmen Sie an unserer Erfolgsgeschichte teil und bewerben Sie sich online mit Ihren vollständigen Bewerbungsunterlagen bei:   Aduno Gruppe Patrick Grzinic Human Resources Management Über eine Million Kunden vertrauen der Aduno Gruppe beim bargeldlosen Zahlen, bei Mietkautionsbürgschaften, bei Privatkrediten und bei Leasinggeschäften. Über 800 qualifizierte Mitarbeitende setzen sich mit wegweisenden Dienstleistungen und Technologien für die Zufriedenheit der Kunden und Partner ein.   www.aduno-gruppe.ch

I'm looking for someone who: Holds a strong interest in Data Engineering Has at least 3 years of experience with Data Holds a University degree in Computer Science, Math, Physics or Engineering Has the ability to work in a team, holds good time management skills and exceptional communication skills. Speaks fluent English and a good level of German (B2 level is a minimum) Who is interested in: Working with the leading Financial organisations in Switzerland Having the opportunity to work on multiple projects Leading projects in Research, Development and Delivery For a company who: Are working with Fortune 500 organisations Have an international team of Engineers & Data Scientists Offer opportunities for growth/development in a fast-paced working environment Take an active part in the development of new software This is a fantastic opportunity for a Data Engineer in the Zurich. I am urgently looking for candidates, get in touch as CV's will be immediately reviewed!

The data scientist imaging is primarily responsible for computational analysis of digitized images, generated by our in-house histology lab but will need the flexibility to analyze other types of datasets and where necessary perform integrative analyses. You will be part of the Translational Science Group whose members scientifically and experimentally engage in discovery and early development teams to solve project related questions. By working closely together with other functions in scientific computing and (biomedical) statistics in a matrix you will report and discuss decisionable data to projects teams. Based on your specific medical, pharmaceutical and/or biological background you will be appointed to one or two therapeutic areas. Main Responsibilities: Developing and validating image analysis methodologies and algorithms for quantitation of single-plex and multiplexed IHC and IF for disparate analyses in animal and human tissues Applying analytic methods to multiparametrically phenotype cells, and to quantitate and spatially characterize molecular targets in situ within tissue sections Developing standardized analysis workflows: data storage, data management, data retrieval with queries, data visualization and biological data interpretation based on the biological questions Driving the exploration and validation of novel drug targets and/or biomarkers Continuous improvement of procedures; evaluation, validation and implementation of new tools and methodologies Developing and constantly innovating the Translational Science Biomarker strategy with Translational Science Group members Documenting, reporting and communicating results to the teams. Qualifications and Experience: A PhD in either one of the following disciplines:  bioinformatics, physics or any other life sciences discipline with demonstrated experience in digital imaging. Minimally 2 years postdoctoral experience in the field of applying advanced types of image and data analysis proven by a strong publication record. Industry experience would be a valuable asset. Proficient in the English language. German and/or French would be an advantage. Expert knowledge in omics information resources and more advanced pathway / biological network analysis. Practical experience with digital imaging equipment such as the Hamamatsu NanoZoomer S60 FL, with quantitative image analysis software tools such as HALO, InForm, Definiens, or CellProfiler is needed. Understanding of image processing as it relates to the development of biomedical image analysis. Excellent knowledge of image processing and understanding, Machine Vision, and Pattern Recognition Laboratory experience in histology, pathology and immune histochemistry would be an advantage Practical knowledge of Machine Learning based methods and techniques Strong background in computational analysis and experienced in using statistical packages such as R. Basic scripting and programming skills (e.g. Python, Java) Familiar working within a UNIX environment Advanced understanding of other omics data analysis techniques would be an advantage Experience in one or more therapeutic areas of interest to Idorsia (CNS, immunology, oncology and CV/fibrosis) would be an advantage. Demonstrated experience of working in multicultural, multidisciplinary and matrix environments. Result oriented, problem solver with a good understanding of biology in multiple therapeutic areas preferably with experience in a medical setting. Dynamic team player with excellent communication and networking skills, flexible mindset and scientifically curious. Exemplifying core values of Trust and Teamwork in project teams to maximize their effectiveness. Proactive, forward thinking and wishing to be up-to-date with the latest computational technologies.