Aufgaben: Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation; Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure; Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production; Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Anforderungen: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with full time industry or research experience in the field; Hands-on experience and solid understanding of machine learning and deep learning methods; Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas); Scientific thinking and the ability to invent

Aufgaben: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Anforderungen: Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science; A highly motivated and independent researcher with a strong quantitative scientific background; Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems; Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable; Excellent communication and writing skills; Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred

Aufgaben: Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models with a high degree of autonomy; Suggest, collect and synthesize requirements and create effective feature roadmap; Build strong crossfunctinal partnerships and code deliverables in tandem with the engineering team; Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Actively seek and give feedback in alignment with Meta’s Performance Philosophy
Anforderungen: Currently has, or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta; Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision

Aufgaben: Build product definition and leverage your technical skills to drive towards the right solution; Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives; Solve difficult problems, learn recent technologies, and push the boundaries of what is possible; Work independently and in a team environment; Scope, design, and build scalable, resilient distributed systems; Engage in cross-functional collaboration throughout the entire software lifecycle; Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Anforderungen: Bachelor's degree in computer science, Information Systems, or equivalent education or work experience; Experience with end-to-end Machine Learning Engineering lifecycle; Experience with Cloud Platforms such as Azure, AWS, or Google Cloud; Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML; Experience with Big Data platforms such as Databricks or Apache Spark

Aufgaben: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Anforderungen: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting; Software development experience in languages such as Python, Scala, Java; Familiarity with scripting and process automation

Aufgaben: Build user-friendly web applications using JavaScript with React and Node.js; Build fast, stable and efficient delivery pipelines; Update LIMS workflows to match the lab’s practices and data tracking needs; Use continuous delivery practices to deliver high-quality code; Clearly communicate project challenges and progress; Ensure code is readable, maintainable, and stable through implementation of unit and end-to-end tests; Follow programming best practices and work collaboratively in-person and through GitHub
Anforderungen: 3+ years of software development experience; Experience working with two or more development languages including (JavaScript, Java or Python); Experience with relational databases and/or non-relational databases (MySQL, MongoDB)

Aufgaben: Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices (agile/scrum as needed); Support a team of highly talented professionals (data scientists, ML Ops); and implement upskilling plans as required for business need, working in close collaboration with the people leader; Strategize on key opportunities/whitespaces, drive discussions and expand outcomes from LCCI for data science driven business solutions; Integrate working model for analytics capabilities across BI&A teams, and where possible, across other LCCI teams to drive better cross-team resourcing, cross-pollination of best practices and expansion of LCCI capabilities
Anforderungen: Master’s/Ph.D. degree in technology, statistics/mathematics, econometrics, operations research or computer science; 12-18 years of relevant work experience with demonstrated experience of working as data scientist/managing complex projects and cross-functional teams; Strong foundational understanding in applied statistics

Aufgaben: The Data Scientist, Omnichannel plays a critical role in providing valuable strategic and tactical business insight and recommendations to Marketing, Agencies and Omnichannel Strategy & Operations (OSO) teams to support achievement of brand promotional and campaign objectives. This role will be responsible for leveraging data to drive insights, optimize customer experiences, and contribute to the overall success of our omnichannel initiatives. This position will be leading our Next Best Action initiative, which will including analyzing and measuring the promotional effectiveness of omnichannel activities and building recommendation systems using predictive models
Anforderungen: Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field; Minimum 8 years of analytics/data science experience with a focus on omnichannel analytics and demonstrated success in managing projects of increasing size and complexity; Expertise in machine learning techniques, statistical analysis, and data visualization, including classification models, promotion response modeling, predictive modeling, etc

Aufgaben: Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices; Demonstrated interpersonal skills, teamwork and people development; Provide mentorship to accelerate the development of solution architecture and technical expertise, specific to the Lilly IDS environment; Knowledge of architectural options and the ability to select based on needs and budget. Understand the business processes being supported by the team; Coach and develop team members through performance management, development planning, promotion, and career plans; represent those team members in talent discussions
Anforderungen: Minimum 3 years of management of a team or teams, should be able to lead a team of around 8 to 12 people; Minimum 10 years of total experience; Proven track record in capacity management and project estimation; Strong background having breadth of experience and technical knowledge; Lead teams to rationalize, optimize and support applications for maximum speed and scalability with industry best practices

Aufgaben: The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve statistical and machine learning methodologies from design to optimization. Additionally, the Data Scientist will be required to support currently launched products, including manufacturing process development, quality analytics, product evolution and change requests. The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required
Anforderungen: BS degree in Statistics, Mathematics, Applied Mathematics, Data Science or Biomedical Engineering with 10+ years of relevant work experience or higher Advanced skill with statistical software (e.g., SAS, Python, R, MATLAB), data access/manipulation (e.g., SQL, pandas) Code samples to be provided upon request; Required

Aufgaben: As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. MLS’s are specialists with the knowledge to help drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services
Anforderungen: 3+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language

Aufgaben: As an Applied Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features
Anforderungen: Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience); Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL. Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks); Experience building and scaling machine learning models using large amounts of data; Agile development mindset, appreciating the benefit of constant iteration and improvement

Aufgaben: Assess, propose, and develop toolsets and techniques for detection and mitigation of bias in data and ML models; use these tools in testing and validating models; Assess, challenge, and at times defend state-of-the-art decision-making systems to internal partners; Monitors deployed models, test performance against monitoring standards, identify impact of drifts; Partner cross-functionally with data scientists, business analysts, software engineers, and product managers to identify and mitigate risks inherent in machine learning models
Anforderungen: A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 4 years of relevant work experience or a PhD in these fields and at least 2 years of relevant work experience; 4+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling

Aufgaben: Participate in project planning, recording, and evaluation of data; Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator); Acquire technical, lab management, and grant writing skills; Participate in seminars, lectures, poster sessions, national presentations, and professional workshops; Supervise junior lab members; Assist with other research projects as needed
Anforderungen: PhD in computer science, electronic engineering or a related field; Research experience in computer vision and machine learning; Proficiency in Python and/or MATLAB; C++ is a plus

Aufgaben: Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code; Back test and implement trading models and signals in a live trading environment; Use unconventional data sources to drive innovation; Conduct research and statistical analysis to build and refine monetization systems for trading signals
Anforderungen: Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field; Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP); Prior experience working in a data driven research environment

Aufgaben: We are a Cooperative with our head office in Wettingen in Canton Aargau. Our team is made up of specialists from the field of natural sciences such as geology, physics, chemistry and biology, as well as from engineering. Communication experts and staff members dedicated to operational and administrative tasks complete our motivated team. Around 130 people are involved in the project of the century of deep geological disposal
Anforderungen: We crawl all higher jobs in research, teaching and administration at Nagra automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: KPMG is one of the leading providers of professional services in Switzerland with a strong global network and a well-established regional presence in both Switzerland and Liechtenstein. Known for actionable insights that lead to new opportunities and better outcomes, we serve clients from a variety of industries
Anforderungen: We crawl all higher jobs at KPMG automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: We promote the competitive capacity of small and medium sized companies in Alpenrheintal (Alpine Rhine valley region). We achieve this through the targeted networking of business and research with the aim of making the business location of Alpenrheintal more attractive and as a result increasing opportunities for employment. We bundle the research capabilities of several research institutions. There is a vibrant informal and professional exchange of ideas and thoughts within the framework of this partnership, which benefits the entire network. The services we offer are completed with our own applied research capabilities
Anforderungen: RhySearch posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: As one of only eleven Universities of Excellence in Germany, we are the only university with as many as six Clusters of Excellence. Recent decades have seen us produce more winners of the Nobel Prize and Fields Medal than any other German university. The University of Bonn has a 200-year history of combining excellent research in a range of disciplines with research-led teaching
Anforderungen: We crawl all higher jobs in research, teaching and administration at Uni Bonn automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: The salary survey was carried out from April until the end of May 2022 for all members of the Swiss Actuarial Association (SAA). The salary survey was conducted online and was based on the salary and bonus information from 2021
Anforderungen: The main goal of this salary survey was to examine the salary development on the Swiss market for actuaries since 2015 and if there is a salary gender gap. The survey was coordinated by the SAA Women's Group with the support of the University of Lausanne

Aufgaben: Assisting in the development of all the research activities in a predefined topic and producing results; Providing support in setting-up and running experiments; Proposing and implementing real-time solutions; Participating in organizing relevant workshops and demonstrations; Assist on the laboratory setup preparation and experiment configuration
Anforderungen: A bachelor degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Extensive experience working in different industrial domains; Experience working with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers; Experience managing data and AI programs for schools; Strong background in image/signal processing and in particular; Performed analysis on large sets of data to extract impactful insights; Strong programming skills in Python/C/C++

Dauer: 6 m
Aufgaben: As part of our Deals Analytics team, you are using a broad range of state-of-the-art tools and techniques to generate insights from large data sets and help our clients make more informed M&A decisions; Working on financial and commercial due diligence projects with private equity and corporate clients across all sectors, leveraging company, alternative and market data to derive insights on a company's competitive positioning and performance; Process, analyze, and visualize complex data sets in order to design, develop and implement business intelligence (BI) tools for our clients, allowing them to monitor business performance and identify value creation opportunities; Participate in internal and client meetings and prepare written reports, summarizing findings in a concise, articulate manner; Support various upskilling initiatives (for instance around the use of Generative AI), enhancing our broader Deals team's digital capabilities, and assist in developing tools to drive automat...
Anforderungen: Current or completed studies in business administration, data science/analytics, economics, statistics, or information science, with a strong interest in solving quantitative and analytical challenges; First practical experience from internships or previous positions in high performing teams, preferably in data analytics, consulting, Big 4 and/or private equity. Ideally, you have worked in a dynamic, collaborative environment under time sensitive deadlines; Initial experience in leveraging data and business intelligence software to turn data into actionable insights on company performance. Strong understanding of and interest in financial statements, M&A transactions, and financial modelling; Strong familiarity and practical experience with data extraction/transformation, analytics, and visualization approaches as well as a high degree of data fluency; Proven skills in Excel, Alteryx and PowerBI. Knowledge and experience with basic programming is preferred but not required (e.g. Py...

Aufgaben: Perform audit work over various technologies utilized by the company and various IT functions. Assess both the design and operating effectiveness of internal controls; Prioritize and assist in scheduling audit tests to be performed, and interact with auditees to obtain the necessary information; Support the preparation of audit reports to communicate observations, issues, risks and recommendations; Contribute to identification of department operational efficiencies and changes in auditing operations; Evaluate controls designed to prevent or detect fraud, including management override of controls; Acquire additional knowledge of regulations and emerging technologies; Audit 4.0 - you analyse transactions, master data and accounts supported by tools from the point of view of irregularities and contribute to process mining projects; Review cybersecurity controls in place and IT infrastructure; Participate in consulting activities regarding the optimisation of processes and systems for inte...
Anforderungen: About to obtain, a Bachelor's degree (business informatics) or a Master's degree (information systems) in the following main areas of study: Information Management and Control, Business Information Systems, IT - Security, Business Administration or Economics; A strong desire to learn and with an intention to continue your education in order to eventually obtain your CISA (Certified Information Systems Auditor) diploma; Experience with Alteryx, ACL, Power BI, or other data analytics software; Fluent in English (C1) and have good knowledge of French (it is a plus, not a requirement); Excellent synthesis and analysis skills; A strong communication and teamwork skills with a strong sense of client's service; Willing to travel across the Romandie

Aufgaben: Tu participes à des mandats d'audit de processus métier et informatique dans le secteur bancaire et contribues au succès de l'équipe tout en travaillant en étroite collaboration avec des experts reconnus; Tu évalues l'application des meilleures pratiques en matière de gouvernance des technologies de l'information au sein d'institutions financières; Tu vérifies l'efficacité opérationnelle des contrôles généraux informatiques et des contrôles applicatifs sur des progiciels bancaires (Avaloq, Finnova, T24, etc.); Tu identifies les faiblesses des contrôles en place, évalues les risques qui en découlent puis détermines les implications pour l'audit des comptes de ces sociétés en collaboration avec tes collègues et tes supérieurs; Tu valides la qualité de grandes quantités de données et les exploites à travers des outils dédiés (Alteryx, PowerBI, ACL, etc.) dans le cadre d'audits ou de mandats d'analyse de données; Tu vérifies le respect des prescriptions régl...
Anforderungen: Tu es titulaire d'un Bachelor ou d'un Master en informatique de gestion, en gestion d'entreprise ou en économie; Tu bénéficies d'excellentes capacités de synthèse et d'analyse; Tu as une excellente compréhension des systèmes d'informations et des connaissances en comptabilité; Tu as une connaissance ou un intérêt particulier pour le secteur bancaire; Tu es à l'aise avec les nouvelles technologies et cherches continuellement à améliorer ta façon de travailler; Tu possèdes des bases dans l'utilisation d'outils d'analyse de données (Alteryx, PowerBI, ACL, etc.) et/ou de programmation; Tu parles français et anglais couramment, l'allemand est un atout; Tu as soif de connaissance, tu es curieux(se) et t'adaptes facilement; Tu as des exigences de qualité élevées et tu es engagé(e) dans ton travail; Tu travailles de façon indépendante et aimes le contact; Tu as une perspective de carrière à long terme et souhaites progresser continuellement

Dauer: 9 m
Aufgaben: Participer à des mandats d'audit de processus métier et informatique dans le secteur bancaire et contribuer au succès de l'équipe tout en travaillant en étroite collaboration avec des experts reconnus; Évaluer l'application des meilleures pratiques en matière de gouvernance des technologies de l'information au sein d'institutions financières; Vérifier l'efficacité opérationnelle des contrôles généraux informatiques et des contrôles applicatifs sur des progiciels bancaires (Avaloq, Finnova, T24, etc.); Identifier les faiblesses des contrôles en place, évaluer les risques qui en découlent puis déterminer les implications pour l'audit des comptes de ces sociétés en collaboration avec les collègues et les supérieurs; Contrôler le respect des prescriptions réglementaires émises par l'autorité fédérale de surveillance des marchés financiers (FINMA) et soumettre des recommandations adressant les manquements constatés; Intervenir ponctuellement sur des mandats sp...
Anforderungen: Titulaire, ou sur le point de l'être, d'un Bachelor ou d'un Master en informatique de gestion, en gestion d'entreprise ou en économie; Excellentes capacités de synthèse et d'analyse; Excellentes compréhension des systèmes d'informations et de bonnes connaissances en comptabilité; Une connaissance ou un intérêt particulier pour le secteur bancaire est demandé; Bilingue français et anglais, l'allemand est un atout; Soif de connaissance, curiosité et une adaptation facile te caractérisent; Des exigences de qualité élevées et un engagement au travail sont présentés; Une perspective de carrière à long terme et l'envie de progresser continuellement sont présents