7 statistics jobs found in Zürich

The Swiss National Bank (SNB), as an independent central bank, conducts monetary policy in the overall interest of the country. It ensures   price stability and thus contributes to an environment in which the economy can thrive. Intern in the Economic Data Science team   (   80% - 100%) The Economic Data Science unit produces macroeconomic analyses and forecasts to inform monetary policy decisions. It also contributes to methodological innovations and the further development of data pipelines. We are offering two internships in an interdisciplinary team of economists and data scientists. Both positions are for a duration of 12 months. Start dates are July 1, 2026, and September 1, 2026, or by arrangement. The workplace is centrally located in Zurich. Your contribution: Contributing to the development, provision and maintenance of data pipelines and analysis tools, particularly in the areas of Big Data, Machine Learning and Natural Language...

About You You’re the person teams trust when the workload is messy, privacy-sensitive, and “it must not go down.” You like building systems that stay boring in production: hardened VMs, predictable deploys, clean rollbacks, useful alerts, and security controls that work by default. You can talk comfortably about trade-offs, latency vs cost, isolation vs operational complexity, GPU vs CPU, shared vs per-tenant, and you’ve probably earned that comfort by running something real in production and being on the hook when it breaks. About Omnilex Omnilex is a fast-moving AI legal tech startup born out of ETH Zurich. Our interdisciplinary team of 14+ people builds an AI product that helps lawyers and in-house legal teams research faster and answer complex legal questions with confidence. We combine external/public sources, customer-internal knowledge, and our own AI-first legal commentaries to tackle real-world legal complexity, often under strict data residency and privacy...

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience with Machine Learning. Experience with C++. Proven track record of designing, building, and launching features end-to-end. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage,...

About TripleLift We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance. As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com. TripleLift, a fast-growing startup tackling some of the most challenging problems in the world of digital advertising, is seeking a Data Scientist with a focus...

Data Scientist (Freelancer) We govern the beautiful game and ensure it's run with transparency and integrity. Join our team in Miami and support us on our mission. THE POSITION These are your key tasks: Support in the development and maintenance of an economic player‑valuation model. Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units. Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes. Support business users in implementing analyses for reports, publications and internal research projects. Design, implement and maintain ETL pipelines for various structured and semi-structured data sources. Build and maintain data models used for Power BI reports. Actively collaborate with technical and non‑technical stakeholders, translating business requirements into robust...

Welcome to SMG Swiss Marketplace Group! SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. We operate leading marketplaces across real estate, automotive, general classifieds, and finance & insurance. We’re driven by our values: Better Together, Aim High, and Act Responsibly. Job Description Meet the team! At SMG, our strength lies in our people. Meet some of the team members with whom you could work: Dmytro Yurchenko - Senior Machine Learning Engineer -   LinkedIn Marina Novikova - Data Scientist - Найдите Большой   LinkedIn Vukasin Vasiljevic - Machine Learning Engineer -   Serbia LinkedIn Marcel Schumacher - Data Product Manager -   LinkedIn As a   Lead Data Scientist   at Swiss Marketplace Group's Real Estate Business Unit, you will contribute to the data hub for the leading real estate platforms in Switzerland, which...

LOCATION :   ZURICH Technology In short As a Senior Data Scientist focused on Marketing Science, your mission is to transform how we measure and optimize our global marketing investments. You will be the statistical engine driving our marketing decision-making, building and scaling sophisticated models that decode the complexity of the customer journey. This role requires a blend of advanced statistical prowess and business acumen to move beyond the "what" of a model and define the "so what" for our strategy. You will empower our marketing teams with the clarity needed to fuel On’s rapid global growth through rigorous data-driven evidence. Your Mission Build and Evangelize Models: You will work autonomously to design, build, and maintain our suite of marketing decision-making tools, including Media Mix Models (MMM) and Multi-Touch Attribution (MTA). Drive Business Action: Move beyond the build to...