39 Machine Learning jobs

My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more). Responsibilities: Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services). Deliver project management activities - Creating project expense estimates, projects and resource planning. Manage and cleanse data making sure of the validity and quality for varying client requirements. Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects. Requirements: Passionate about building analytics solutions and working closely with customers. Background in implementing cloud platforms (Microsoft Azure, AWS) Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies. Understanding and ability to work in a team, management skills and ability to liaise with stakeholders. Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics. German and English speaking. Willingness to travel regularly. If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at   Daniel.Neaves@darwinrecruitment.com   along with your CV and a suitable time to speak.

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

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers As the only one of the Big 4 with a specialist cross-border practice dedicated to the Financial Services Sector, we offer our clients seamless, consistent and high-quality service around the globe. Our Advisory business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs in the Financial Services industry.   We are currently looking for motivated and committed consultants to further strengthen our practice within the FSO Advisory Risk Management team in Zurich.     Tasks that you promote Advisory engagements where you will support our clients (financial institutions ranging from leading global market players to more regional focused institutions) in financial risk management related challenges ranging from the review or development of firm wide quantitative models for measuring various risks like market risk, credit risk, operational and fraud related risks to the valuation of complex derivatives incl. applying advanced analytics. Support audit mandates where you will support our audit teams in the areas of the valuation of financial products and contracts / physical assets and validation of all kind of risk related models. Developing your technical and social skills in particular through internal and external training opportunities incl. obtaining professional degrees like GARP ERP or FRM.   Your profile to succeed together  A Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics) A strong interest in financial risk management and/or applying advanced analytical methods like machine learning in the financial risk management world Good knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutions Good knowledge of a development environment and experience implementing predictive models and machine learning is a plus Fluent in German or English Excellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national team. More opportunities for your development           Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms. The Recruiting Team is looking forward to your application Take the next step: apply for the position (job ID: ZUR0017K) online on our jobs portal! If you have any questions, feel free to contact our recruiting team ( Recruitment.Switzerland@ey.com / +41 58 286 33 66).  

The rapidly growing  Forensic Technology & Discovery Services (“FTDS”)  department is currently seeking the right candidate for an excellent career opportunity in the eDiscovery  (“eD”) team  in Zurich. Being part of the Fraud Investigation & Dispute Services (“FIDS”) department the innovative  eD team  is involved in conducting investigations into fraudulent behavior and activities of misconduct to prevent or combat fraud, bribery and corruption.   The  eD team  is a global group of technical specialists that apply technical skills to the full life cycle of data management, including data scoping, processing and analysis, reporting and visualization, as well as presentation for review. This incorporates advanced data analysis technologies such as machine learning, correlation engines, social network analysis, statistical as well as natural language analysis, predictive coding, and heavy automation. Our  FTDS  data center provides state of the art forensic technology infrastructure and tools necessary to uncover even the most complex cases.   You will have a unique, career changing opportunity to play a key role in the strategy and growth of the eD team.   Tasks that you promote Working in engagement teams, carrying out both reactive and proactive data analysis of large volumes of unstructured and structured data. Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations. Working in our specialist forensic technology labs and on client site to help clients leverage knowledge from their data through the use of best of breed forensic technologies. Innovating and developing new methodologies and processes, and bringing solutions to existing and future clients. Acting as a role model for more junior team members, providing them on-the-job coaching and training. Supporting the leadership team and the project manager on the operational level.     Your profile to succeed together Degree (Bachelor or Master) in Computer Science, Applied Mathematics, or related fields. Good working experience with SQL and other scripting or programming languages. Experience in using eDiscovery tools as Relativity, NUIX and additional eDiscovery platforms. At least 3 years of practical experience in a similar type of work. Solid knowledge of IT environments, networking, server architecture and IT security. Excellent problem solving skills and strong analytical and technical skills. Assertive and proactive approach to the delivery and implementation of projects, as well as the ability to network and build relationships effectively within large organizations and clients. Excellent verbal and written communication skills in English is required – German and any additional language is a plus.   More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education, in an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.   Jona Fahrländer is looking forward to receiving your application Do the next step and apply for this position online. Ref No:ZUR00150. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).   Only direct applications will be considered  

An innovative customer of mine in Zurich is looking to develop a Data Science team as part of the continued success of the business. This company is a really interesting start-up with an innovative sensory product that will connect society more efficiently to allow people to keep autonomy. This product is used by both private customers as well as organisations who can benefit from it's findings and predictive information. After releasing the product last year, the business is looking to develop a data science team in order to help the business move onto the next level. You could be one of the first members of this team in a role where you would analyse behavioural time series data gathered from sensors to extract predictive information using state-of-the-art data science tools. You would also be responsible for developing and designing the data science framework running on AWS infrastructure. My customer is looking for someone who has a strong background working as a Data Scientist with a focus on time series modelling, machine learning and deep learning. Experience with a range of tools including Apache-Spark and cloud experience in AWS or Google is needed. Any knowledge or experience in sensors, IOT or image processing would be a big advantage as well as having advanced experience in Python including TF, Pandas, SciKitLearn etc..... If you think your profile is a good match for this position and you'd like to find out more, please send your CV and we will arrange a time to speak to discuss further.

Inmarsat has been at the forefront of global mobile satellite communications for over thirty years, and is the market leading provider of voice and high-speed data communications for users on land, at sea and in the air through its constellation of 12 geostationary satellites.  Inmarsat plc is a FTSE listed company with a profitable track record and significant growth aspirations. This is represented by more than 55 nationalities in the workforce, reflecting the global and dynamic nature of the business. With an investment of over $3 billion in its latest network infrastructure, Inmarsat is at the forefront of global mobile communications innovation. Maritime Inmarsat’s Maritime business unit is the leader in global mobile satellite communications at sea. Thousands of vessels rely on our unrivalled end-to-end service availability and coverage for operational communications and safety services.  We offer the broadest portfolio of mobile voice and data solutions on the market, so we can meet the needs of all types and size of vessel – and every budget. Primary Role Purpose: This is an outstanding opportunity to join a dynamic, successful and market-leading organization in a high profile position focused on solving business challenges and improving strategic marketing effectiveness supporting the business growth of the Inmarsat Maritime Business Unit. With a proven record of effective use of data for business practices, the Candidate will lead Maritime Business Unit data science activities. You will use advanced modelling and statistical methods to gain insight, support data driven informed decisions, deliver recommendations based on business objectives and improve the Unit overall operations and customer acquisition/retention/experience. Key Responsibilities: Build and present reliable/robust predictive and prescriptive tactical and strategic insights based on advanced statistical modelling and/or machine learning methodologies for solving key business challenges. Formulate proposals for better use of data science (e.g. analysis methodologies, data architectures) and advise about improvement to marketing tactics within the Maritime Business Unit and, where appropriate, lead the execution of such proposals. Support the Maritime Business Unit Market Intelligence Team in performing market analyses and modelling of customer behaviour leveraging a combination of internal and external customer data. Work with other stakeholders and data scientists throughout the Inmarsat organization (such as within Finance, Operations and Product departments) to identify opportunities for leveraging company and external data to drive business solutions and improve the company practices in different domains. Work as an integral part of the Maritime Business Development team, collectively responsible for the delivery of business growth, new business models, market intelligence and strategy formulation. Qualifications Essential Knowledge and Skills: Master’s or PHD in a quantitative field of study (e.g. Statistics, Applied Mathematics, Computer Science with Data Science as a recognised discipline) and relevant industry experience. Proven experience of creating and applying machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. and their advantages/drawbacks across various business/commercial practices using various types of datasets. Advanced understanding of databases and proven experience of working with and creating enterprise data models and data architectures. Analytics software knowledge and experience in visualizing/presenting data for stakeholders using various data visualisation tools (e.g.Tableau, Alteryx and D3.js). Proven experience developing with and using SQL and scripting languages including R and Python. Understanding of marketing mix modelling and analysis and general strategy/marketing principles and theory Ability to comprehend complex contexts and to communicate ideas in a simple business language to stakeholders from CXOs to junior analysts. Presence and charisma to convince any audience of the route to success and with the ability to build strong and powerful relationships. An aptitude for strategic development and implementation. Demonstrable track record of integrity and commercial acumen.   Desirable Knowledge and Skills: MBA and/or equivalent experience in Strategy and/or Marketing. Knowledge of satellite Communications. Knowledge of the Maritime industry. Language Skills.  Additional Information You must be eligible to work in this location advertised. Inmarsat Values:  Our values define Inmarsat’s culture and represent what we believe in. Inmarsat employees aspire to certain behaviours which support our corporate values, they create a stronger working environment and lie at the heart of our continued success as an organisation. Accountability – taking ownership, getting results and keeping our promises Respect – collaborating, embracing diversity and valuing differences Excellence – creating bold solutions for our customers and putting quality at the heart of everything we do

Are you a Skilled Data Engineer interested in working for a highly respected Investment organisation? I'm looking for someone who: Has a University degree in computer science, data science, finance, physics or comparable work experience Experience using technologies such as; Python, SQL, Big Data technologies and Azure Knowledge or experience in the financial sector would be a plus Speaks fluent   English Who is interested in: Building end-end innovative and high impact marketing automation solutions on our PaaS big data stack on Azure. Working closely together with the business, marketing and the colleagues in the machine learning team to build and structure data flows Focusing on the acquisition, organization and preprocessing of massive data sets 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!

One of our leading customers in investment banking is looking for a Senior Data Scientist in Zurich to help deliver data-driven solutions globally. In this role, you would be translating large data volumes into actionable business insights to support various areas of the company including sales, marketing as well as strategic and pricing initiatives for the business. This position would allow you to initiate, lead and implement solutions using analytics, machine learning algorithms and NLP. You would also develop advanced virtualizations for clients and senior management. To be considered for this position, you need to ideally have a PhD or Master's in a quantitative field (maths, statistics, physics, computer science etc.....). You will need to have strong experience in applying machine learning and advanced analytics. Working experience with Python is essential as well as having good knowledge of relational databases and SQL. Our customer needs someone who has a solid background in data visualization (Tableau) as well as Big Data technologies including Hadoop and Spark. This is an English speaking role but German skills would be a big advantage working with certain clients. If you have the required experience and are keen to join an international team looking to make banking more data-driven, then please apply as soon as possible so we can arrange a call.

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

Most wanted: ambitious, design-driven frontend engineer on a mission to simplify complex interactions into a meaningful user experience. Onedot has been built because we believe that data should be made consumable across sources and organisations. We offer a dynamic, flexible and inspiring work environment with lots of room for personal growth where you enjoy autonomy, actively shape our product and have a meaningful impact. You will drive and lead the development of our data preparation service Web application. Working on beautiful and intuitive user interfaces is your thing. You have a flair for excellent user experience and are able to capture complex use-cases and translate them into features built to last. Good attention to detail and constantly improving your knowledge about industry trends, new technologies, and best practices in front-end development is your strength. You have the necessary experience to leave your mark in the technology stack and love to share your knowhow in Web technologies with your team. Have a look at our tech stack at   https://stackshare.io/onedot . We use machine learning, probabilistic methods and advanced text analysis to automatically turn messy data into structured information. Our technology achieves super-human performance, makes data standards redundant and accelerates business growth. Onedot is a startup backed by leading venture capital firms and world class entrepreneurs. REQUIREMENTS Your Responsibilities Develop new user-facing features for our Web application Build reusable code and libraries for future use Design and build user-friendly interfaces with sophisticated interaction patterns Connect to backend services interfacing with the data preparation engine Optimize components for maximum performance across browsers and devices Collaborate closely with product development and R&D teams Work with user experience and design professionals Minimum Qualifications Strong proficiency in JavaScript/ES6 or Typescript, including DOM manipulation and the Javascript object model Practical expertise with popular React workflows such as Flux or Redux Experience with data structure libraries such as Immutable.js Familiarity with RESTful APIs and modern authorisation mechanisms such as JSON Web Token Know-how of modern front-end build pipelines and tools Ability to understand business requirements and translate them into technical requirements Motivation and passion for intuitive and optimised user interfaces Ability to write expressive, high-quality, reusable code Thinks big, gets things done, has fun and loves working with a high impact team! Preferred Qualifications Minimum of 4 years of relevant technical expertise Experience and flair for visual design, UX and interface design for complex interaction patterns Fullstack engineering experience of reactive architectures Knowledge of Scala and functional programming paradigms As part of our dedication to the diversity of our workforce, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. This is a full-time position based in our office in Zurich/Schlieren. Apply today, and we start our journey together! BENEFITS Performance-oriented compensation, because we reward high-impact work. Flexible work hours, because impact, not face-time counts Occasional work from home, so that you can focus and concentrate Truly international colleagues, to learn from each other and push forward as one team Cool office space, because we like it cosy and comfortable Free snacks, drinks, coffee and other perks to keep you going Regular events to better get to know each other Planned education & training to continuously broaden your skills

Logitech is transforming into a connected company, where devices and cloud services work hand in hand to create new experiences and business models. Logitech CTO Office has the mission of defining and helping implementing technology strategies of Logitech. It works across horizontal functions as well as business groups to develop platforms and technical components which are common in the development of products and services of different and cross categories. The Artificial Intelligence Group is part of CTO Office, and is an organization of world-class scientists and engineers in machine learning and computer science. The mission of the group is to drive breakthrough innovations and to provide to all the Business Groups (BGs) of Logitech with the state-of-art technologies in artificial intelligence. The Artificial Intelligence Group is hiring in Logitech’s Lausanne (Switzerland) site based on the EPFL campus. We are looking for exceptional individuals who are interested in both innovating in the field and applying and integrating innovations into products and services. Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will: 1+ year of relevant work or academic experience in Machine Learning or Artificial Intelligence, including software development experience. Exposure to a broad range of Machine Learning techniques, incl. deep learning. Familiarity with computer vision, audio, speech and language processing. Pragmatic attitude and ability to rapidly dive in new scientific fields. Innovative, curious, self-starter & autonomous. Desire to collaborate in a team of both researchers and software developers. Key Qualifications: For consideration, you must bring the following   minimum   skills and behaviors to our team: General purpose programming languages incl. Java, C/C++ or Python. Training and evaluation of deep neural networks, e.g. CNNs, RNNs, GANs. Deep learning framework such as pyTorch or Tensorflow (Keras). SW development in embedded platforms such as ARM. Digital signal processing (FFT, MFCCs, beamforming, designs of filters, Matlab). Education MsC in Computer Science, Computational Sciences, Machine Learning or related sciences. Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it.   As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.                                                                                                                                                                       “All qualified applicants will receive consideration for employment  without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”

Logitech is transforming into a connected company, where devices and cloud services work hand in hand to create new experiences and business models. Logitech CTO Office has the mission of defining and helping implementing technology strategies of Logitech. It works across horizontal functions as well as business groups to develop platforms and technical components which are common in the development of products and services of different and cross categories. The Artificial Intelligence Group is part of CTO Office, and is an organization of world-class scientists and engineers in machine learning and computer science. The mission of the group is to drive breakthrough innovations and to provide to all the Business Groups (BGs) of Logitech with the state-of-art technologies in artificial intelligence. The Artificial Intelligence Group is hiring in Logitech’s Lausanne (Switzerland) site based on the EPFL campus. We are looking for exceptional individuals who are interested in both innovating in the field and applying and integrating innovations into products and services. Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will: 1+ year of relevant work or academic experience in Machine Learning or Artificial Intelligence, including software development experience Exposure to a broad range of Machine Learning techniques, incl. deep learning Familiarity with computer vision, audio, speech and language processing Pragmatic attitude and ability to rapidly dive in new scientific fields Innovative, curious, self-starter & autonomous Desire to collaborate in a team of both researchers and software developers. Key Qualifications: For consideration, you must bring the following   minimum   skills and behaviors to our team: General purpose programming languages incl. Java, C/C++ or Python Training and evaluation of deep neural networks, e.g. CNNs, RNNs, GANs Deep learning framework such as pyTorch or Tensorflow (Keras) SW development in embedded platforms such as ARM Digital signal processing (FFT, MFCCs, beamforming, designs of filters, Matlab) Education MsC in Computer Science, Computational Sciences, Machine Learning or related sciences Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it.   As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.                                                                                                                                                                       “All qualified applicants will receive consideration for employment  without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.”

Logitech is transforming into a connected company, where devices and cloud services work hand in hand to create new user experiences. You will be a Data Engineer within the CTO Office, a transversal organisation developing a common data platform, enabling big data / internet of things analytics and other advanced technologies such as Machine Learning for Logitech’s Business Groups. We will be leveraging public clouds, like AWS, Azure, and GCP, as well as tools like Apache Spark, Snowflake, D3.js and Tableau. We will be developing the worldwide infrastructure and operational best practices serving several millions of customers and devices. Due to the nature of the CTO office team, this is a challenging role that requires being able to anticipate business needs and focus on business success, as well as strong technical skills, willingness to experiment with technology, and ability to deliver on multiple projects under pressure. Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and Do. These are the behaviors you’ll need for success at Logitech. In this role you will: Develop and maintain ETL flows for loading data into the warehouse from the systems collecting data from devices Work with engineering teams and business users to define data schemas for device event data stored in a common data warehouse Define and manage views in the warehouse to meet the requirements of data scientists using platforms like Spark and business users using visualization tools like Tableau Work with data scientists to productize analytics and data models, developing new ETL flows for new applications driven by model-based analytics As business needs grow, develop and maintain data stream processing workflows for device event data, supporting the needs of business users for up-to-date information and customer-facing services Your Skills: For consideration, you must bring the following skills and behaviors to our team: 2 years of relevant work experience in, building pipelines for conventional, unstructured, streaming or big data sets using tools like Spark, Flink or Hadoop. Programming proficiency in at least one major language (Python, Scala or Java) Experience building fault tolerant distributed systems Strong problem solving skills Good presentation skills Fluent in English DESIRED SKILLS A CONCEPTUAL UNDERSTANDING OF DATA SCIENCE AND MACHINE LEARNING APPLICATIONS LIKE RECOMMENDER SYSTEMS, CLASSIFICATION, PREDICTIVE MODELING AND CLUSTERING. Familiarity with consumer oriented analytic techniques like segmentation and user profiling. Understanding of parallelized data ingestion techniques (not essential but useful) Pragmatic attitude and ability to rapidly iterate and evolve ideas into products Experience assessing and anticipating business needs and focusing on delivering business-relevant results Desire to collaborate in a team of researchers,  data scientists and software developers. EDUCATION MSC DEGREE IN COMPUTER SCIENCE, DATA SCIENCE, MACHINE LEARNING OR RELATED TECHNICAL FIELD OR EQUIVALENT PRACTICAL EXPERIENCE. Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way. “ All qualified applicants will receive consideration for employment   without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, Veteran status, or on the basis of disability.”

NAGRA, a digital TV division of the Kudelski Group provides security and multiscreen user experience solutions for the monetization of digital media. The company offers content providers and DTV operators worldwide secure, open, integrated platforms and applications over broadcast, broadband and mobile platforms, enabling compelling and personalized viewing experiences. Location:   Cheseaux, Switzerland Mission As part of the Kudelski Group "Insight" initiative, we are developing data analytics products for major PayTV operators around the world, powered by state-of-the-art machine learning and probabilistic algorithms. We are looking for an experienced Data Scientist to help us transform raw data into actions and predictions so that our clients can effectively navigate their business.  Woud you like to join a nimble, focused and fast moving group within a well-established company? We are a team of techies, data crunchers, and business experts, willing to make a difference in a quickly changing industry – get in touch! Responsibilities As a member of our team, you will be responsible for the design and development of data science workflows, and the creation of machine learning algorithms to solve a wide range of prediction and recommendation problems. Your main responsibilities will be to: Apply data analysis and visualization techniques to gain actionable insights into heterogeneous data sets Design and build scalable data ingestion, cleansing, and integration pipelines for large volumes of data from different sources Develop predictive workflows using statistics and machine learning algorithms Work closely with the engineering team and support them in the industrialization of the final workflow Occasionally travel to clients to understand their data and business needs, and to present project results Maintain and develop professional knowledge by attending and presenting at conferences, reading professional publications, and testing state-of-the-art tools Requirements / Profile Here is the type of profile we are looking for: 3+ years work experience Curious about the business impact of their work Familiar with statistical and machine learning algorithms Good Python programming skills, intimate with the Python data science stack Experience with relational databases and Big Data tools like Spark, Presto, Hive, etc. Knowledge of best practices for software development and data organization, and pleasure in working in an open source environment (Github is at the core of our workflow) Likes interacting with people, including clients, and can communicate well even to a non-technical audience Willingness to occasionally travel and assume a client-facing role Good spoken and written English, knowledge of French is a plu Swiss or EU resident

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