What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
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Das passt zu dir, wenn … du eingeschriebene:r Student:in (m/w/d) bist zum Beispiel in:A InformatikHuman Computer Interaction (HCI) oder verwandte Fachrichtungen Individuelle Unterstützung: Ein:e feste:r Ansprechpartner:in steht dir zur Seite, beantwortet deine Fragen und hilft dir, dich in Projekten sicher und selbstbewusst einzubringen.Learning & Wachstum: Du lernst nicht nur neue Technologien kennen, sondern bekommst echte Einblicke in moderne Softwarearchitekturen und agile Arbeitsweisen.Regelmäßiges Feedback: Kein „wir gucken mal“, sondern ehrliche Rückmeldungen, die dich weiterbringen – damit du Schritt für Schritt wächst.Flexibles Arbeiten: Ob Homeoffice, Büro oder ein Mix aus beidem – du entscheidest, wo du am produktivsten bist.Gleitzeit nach Maß: Dein Studium, dein Leben – deine Arbeitszeiten.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!