37 Machine Learning jobs

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.

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 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!

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

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.

Deine Aufgabe. Du übernimmst die fachliche Leitung von Kundenprojekten (Festlegung methodisches Vorgehen, Entwicklung von Use Cases mit dem Kunden, Beratung von Kunden in fachlichen Fragen sowie auch Präsentation und Erläuterung von Resultaten). Du leitest die Entwicklung von Machine Learning-Pipelines oder entwickelst diese selbständig: Datenaufbereitung, Modellierung, Methodenwahl, Validierung. Du evaluierst die technische und wirtschaftliche Machbarkeit von Machine Learning-Lösungen und operationalisierst Konzepte von erfolgreichen Prototypen in Zusammenarbeit mit Datenplattform-Architekten. Als Experte wirkst du auch in der Akquise von Kundenprojekten mit und bist Teil eines interdisziplinären Bid Teams. Dein Talent. Du verfügst über mindestens vier Jahre Berufs-/Forschungserfahrung auf dem Gebiet Machine Learning nach Studienabschluss. Von Vorteil ist es, wenn du bereits Erfahrung in der Umsetzung von Projekten in Industrie und Dienstleistung mitbringst. Du bringst sehr gute und breit abgestützte Kenntnisse in Machine Learning, vertiefte Kenntnisse in einer Anwendungsdomäne (z.B. NLP, CV) und gute Kenntnisse in Statistik mit. Du beherrschst ein für Datenanalysen geeignetes Ökosystem (bevorzugt Python), hast Erfahrung in der Software Entwicklung und bist mit den Konzepten von Datenbanksystemen (relational/NoSQL) vertraut. Dank deinem selbstsicheren Auftreten in der Kommunikation mit Kunden und starkem Eigenantrieb sowie Leidenschaft für Data Science Themen, übernimmst du Verantwortung in Projekten und in der Weiterentwicklung unserer ML/DA-Kompetenz. Du hast einen Hochschulabschluss (ETH, Uni) in Computer Science, Mathematik oder eine vergleichbare Ausbildung ebenso hervorragende Deutsch- und Englischkenntnisse werden vorausgesetzt. Ein PhD in einem Machine Learning nahen Gebiet ist ein Plus.  Und Zühlke.  Bring dein Talent in einem hochqualifizierten Umfeld zur Entfaltung: Zühlke bietet dir ein innovatives Umfeld und eine langjährige Erfolgsgeschichte. In dieser Position erhältst du die einmalige Gelegenheit, unser Geschäft – empowering ideas - im Markt weiterzuentwickeln.

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

Für unseren Kunden, eine Schweizer Versicherungsunternehmen, suchen wir ab Januar 2019 zwei Data Scientists (100%) in Bern.  Ihre Aufgaben werden folgendes beinhalten:  Du verwendest statistische Methoden um Netzparameter, Netztopologie und  Customer-Experience-Daten zu korrelieren (explorative, predictive).  Du evaluierst große Datenmengen mit state-of-the-art Data Science Methoden wie machine learning, classification, clustering und pattern search.  Du entwickelst Software innerhalb eines dynamischen Teams mit Hilfe von agilen Entwicklungsprozessen und Python.  Du implementierst Algorithmen zur Detektion von Netz- und Servicestörungen in real-time und unterstützt uns beim Vorantreiben der data-driven automation.  Verwirkliche die Umsetzung Deiner Erkenntnisse und leite Projekte zur  Verbesserung der Servicequalität und Erhöhung der Kundenzufriedenheit.  Sie bringen folgende Qualifikationen mit :  Ein abgeschlossenes Studium im Bereich Informatik, Physik, Mathematik, Statistik, Elektrotechnik oder Communications Engineering  Ausgeprägte analytische Fähigkeiten und Statistik-Know-How  Sehr gute Programmierkenntnisse und Praxiserfahrung in der Softwareentwicklung  Technik-Affinität und Interesse an cutting-edge-Methoden sowie Kenntnisse im Bereich Telekommunikationsnetzwerke  Teamfähigkeit  Fliessende Deutsche Kenntnisse  Spricht Sie diese neue Herausforderung an, bewerben Sie sich bitte online oder melden Sie sich telefonisch bei Frau Nadja Espey unter +41 44 296 88 42.  Contact:  Nadja Espey  Tel:  +41 44 296 8842  Duration:  12 Monate (+)  Start date:  Januar 2019 

In the dynamic environment of energy trading, work out decision recommendations for trading units and contribute positively to the trading results of BKW through data analysis and price forecasts. Your responsibility They develop and operate price forecasting models in the energy market and develop trading strategies They develop data bases, develop analysis tools and ensure operation and maintenance of the analysis infrastructure You create tailor-made analyzes and work on projects Your background University degree in science or quantitative economics Methodical and modeling knowledge in artificial intelligence / machine learning / deep learning as well as appropriate implementation experience Very good programming skills in Python, VB.NET as well as advanced handling of complex IT applications and databases (MSSQL) Economic understanding of markets and trading positions Very good German and English skills.

Atos Consulting is a leading Swiss consulting company, part of the Atos group. We work with prestigious international clients in the areas of Manufacturing, Pharma, Insurances, Transport, Trading, Telecommunications, Media and Energy.For our Nyon team, we are currently looking for a  JUNIOR DATA SCIENTIST (M/F) . Your responsibilities Select features, build, and optimize classifiers using machine learning techniques (R, Python) Enhance data collection procedures to include information that is relevant for building analytical systems Process, clean, and verify the integrity of data used for analysis, build models, and develop relevant insights Work closely with Data Engineers and Software Developers in translating complex analytical results into understandable and useful IT solutions Your profile Experience with common Data Science toolkits (R, Python); excellence in at least one of these is highly desirable Experience with Data Vizualisation tools (Tableau, Spotfire, Power BI etc.) Familiarity with common scientific Python frameworks (Pandas etc.) Familiarity in designing and maintenance of data structures: using SQLite, MySQL, noSQL etc. Experience in Data Engineering tools and techniques (MapReduce, Pig, Hive, HBase, Oozie, Spark, Solr) is a plus Experience with Software Programming using Asp .NET, C# is a plus Travel willingness (French-speaking area Switzerland) Bachelor or Master in Computer Science, Data Science or relevant related field Fluent in French and English Your application Are you interested joining a global and dynamic organization, working on challenging and exciting projects and being supported with training opportunities? We look forward receiving your complete application through our online Recruting Tool. For recruitment agencies: Atos Consulting does not accept unsolicited applications for any of the roles that we advertise. Furthermore, please note that no legal obligations or respective compensation would derive from such unsolicited applications. Thank you for your understanding.

Ava AG is an award-winning startup company based in Zürich/Switzerland. We have recently launched a novel wearable device that has the potential to significantly increase quality of life of millions of women. The core of our business are smart algorithms which exactly and reliably predict a woman’s fertile days. Would you like to join us in this challenging adventure? In order to strengthen our team Responsibilities: Refactor our data access API code, including Continuous Integration (CI) tests Improve and maintain MongoDB ingestion and monitoring scripts Migrate performance critical jobs to SparkSQL Write scripts to analyze data quality, performance and problems of our ETL pipelines Write simulations / tests to assess properties of new AI-based algorithms, automate output documentation meeting regulatory requirements Improve scripts to assist monitoring of clinical studies About you: Bachelor’s degree in Computer Science or equivalent Strong knowledge in Python is a must, Git, PySpark, OOAD and CI a plus Experience with cloud based, virtual computer environments and working with ETL pipelines for large data sets is a strong plus Experience with Spark, SparkSQL and/or MongoDB is a strong plus, knowledge of machine learning algorithms and tools is a plus Ability to work independently with a high sense of responsibility Fluency in English Swiss or EU/EFTA work permit Are you fascinated by the idea to support a young and promising team and company to success? Would you like to contribute to a highly motivated team, with a lot of space for your own initiatives? If yes, please send your complete application (CV, motivation letter, transcripts) to recruiting@avawomen.com. Ava – Revolutionizing women’s health Moritz Ritter, Manager Data Engineering Should you not hear back from us within 2 weeks your application has unfortunately not been successful for the respective role.