162 Jobs für Positionen Im Bereich Natural Language Processing in Schweiz

Introduction

The Swiss AI Initiative, a joint effort between EPFL and ETH Zürich, seeks talented engineers to join our team developing the next generation of open foundation models, such as Apertus and beyond.Working with the world's most powerful public AI supercomputer (Alps), we aim to create open and transparent LLMs and multimodal AI models that benefit Swiss society while maintaining technological sovereignty.

Main duties and responsibilities

We are looking for AI Research Software Engineers with expertise in one or more of the following areas:

• Distributed AI training and optimization
• Data curation (text and multimodal)
• Model evaluation and benchmarking
• Inference systems and deployment
• Reasoning and retrieval-augmented generation (RAG)
• Multi-modal AI models

Profile

• MSc in Computer Science, Data Science, AI or related field (exceptional BSc candidates will also be considered)
• Experience in AI and neural network architectures
• Strong programming skills in Python and knowledge of PyTorch or similar ML frameworks
• Experience with software development practices, including version control systems, debugging, testing, and deployment.
• Excellent problem-solving abilities and strong analytical skills.
• Ability to work effectively in a team as well as independently.

Please note that only applications meeting the criteria of the advertisement will be considered.

We offer

• A stimulating academic environment at one of the world's leading technical universities
• The opportunity to work with state-of-the-art supercomputing infrastructure and cutting-edge AI research
• Collaboration with top researchers and engineers from EPFL, ETH Zurich, CSCS, and other Swiss institutions
• Flexible working arrangements, including options for remote work
• Professional development opportunities, including conference attendance and specialized training
• The chance to contribute to open-source projects with global impact
• Access to the broader Swiss academic ecosystem and industry partnerships
• Being part of Switzerland's sovereign AI development, working on technology with national significance

Informations

Contract Start Date : as soon as possible

Activity Rate Min : 80.00

Activity Rate Max : 100.00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 1742

Join Tether and Shape the Future of Digital Finance
At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether
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But that's just the beginning:

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Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.

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: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?
About the job:
As a member of our AI model team, you will drive innovation across the entire AI lifecycle by developing and implementing rigorous evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference. Your work will focus on designing metrics and assessment strategies that ensure our models are highly responsive, efficient, and reliable across real-world applications. You will work on a wide spectrum of systems, from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate text, images, and audio.

We expect you to have deep expertise in advanced model architectures, pre-training and post-training practices, and inference evaluation frameworks. Adopting a hands-on, research-driven approach, you will develop, test, and implement novel evaluation strategies that rigorously track key performance indicators such as accuracy, latency, throughput, and memory footprint. Your evaluations will not only benchmark model performance at each stage, from the foundational pre-training phase to targeted post-training refinements and final inference but will also provide actionable insights.

A key element of this role is collaborating with cross-functional teams including product management, engineering, and operations to share your evaluation findings and integrate stakeholder feedback. You will engineer robust evaluation pipelines and performance dashboards that serve as a common reference point for all stakeholders, ensuring that the insights drive continuous improvement in model deployment strategies. The ultimate goal is to set industry-leading standards for AI model quality and reliability, delivering scalable performance and tangible value in dynamic, real-world scenarios.

Responsibilities
:

• Develop, test, and deploy integrated frameworks that rigorously assess models during pre-training, post-training, and inference. Define and track key performance indicators such as accuracy, loss metrics, latency, throughput, and memory footprint across diverse deployment scenarios.
• Curate high-quality evaluation datasets and design standardized benchmarks to reliably measure model quality and robustness. Ensure that these benchmarks accurately reflect improvements achieved through both pre-training and post-training processes, and drive consistency in evaluation practices.
• Engage with product management, engineering, data science, and operations teams to align evaluation metrics with business objectives. Present evaluation findings, actionable insights, and recommendations through comprehensive dashboards and reports that support decision-making across functions.
• Systematically analyze evaluation data to identify and resolve bottlenecks across the model lifecycle. Propose and implement optimizations that enhance model performance, scalability, and resource utilization on resource-constrained platforms, ensuring efficient pre-training, post-training, and inference.
• Conduct iterative experiments and empirical research to refine evaluation methodologies, staying abreast of emerging techniques and trends. Leverage insights to continuously enhance benchmarking practices and improve overall model reliability, ensuring that all stages of the model lifecycle deliver measurable value in real-world applications.
• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Demonstrated experience in designing and evaluating AI models at multiple stages from pre-training, post-training, and inference. You should be proficient in developing evaluation frameworks that rigorously assess accuracy, convergence, loss improvements, and overall model robustness, ensuring each stage of the AI lifecycle delivers measurable real-world value.
• Strong programming skills and hands-on expertise in evaluation benchmarks and frameworks are essential. Familiarity with building, automating, and scaling complex evaluation and benchmarking pipelines, and experience with performance metrics: latency, throughput, and memory footprint.
• Proven ability to conduct iterative experiments and empirical research that drive the continuous refinement of evaluation methodologies. You should be adept at staying abreast of emerging trends and techniques, leveraging insights to enhance benchmarking practices and model reliability.
• Demonstrated experience collaborating with diverse teams such as product, engineering, and operations in order to align evaluation strategies with organizational goals. You must be skilled at translating technical findings into actionable insights for stakeholders and driving process improvements across the model development lifecycle.

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institution: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

The Swiss AI Initiative, a joint effort between EPFL and ETH Zürich, seeks talented engineers to join our team developing the next generation of open foundation models, such as Apertus and beyond. Working with the world's most powerful public AI supercomputer (Alps), we aim to create open and transparent LLMs and multimodal AI models that benefit Swiss society while maintaining technological sovereignty.

We are looking for AI Research Software Engineers with expertise in one or more of the following areas:

Distributed AI training and optimization
Data curation (text and multimodal)
Model evaluation and benchmarking
Inference systems and deployment
Reasoning and retrieval-augmented generation (RAG)
Multi-modal AI models

• MSc in Computer Science, Data Science, AI or related field (exceptional BSc candidates will also be considered)
• Experience in AI and neural network architectures
• Strong programming skills in Python and knowledge of PyTorch or similar ML frameworks
• Experience with software development practices, including version control systems, debugging, testing, and deployment.
• Excellent problem-solving abilities and strong analytical skills.
• Ability to work effectively in a team as well as independently.

Please note that only applications meeting the criteria of the advertisement will be considered.

• A stimulating academic environment at one of the world's leading technical universities
• The opportunity to work with state-of-the-art supercomputing infrastructure and cutting-edge AI research
• Collaboration with top researchers and engineers from EPFL, ETH Zurich, CSCS, and other Swiss institutions
• Flexible working arrangements, including options for remote work
• Professional development opportunities, including conference attendance and specialized training
• The chance to contribute to open-source projects with global impact
• Access to the broader Swiss academic ecosystem and industry partnerships
• Being part of Switzerland's sovereign AI development, working on technology with national significance

Contract Start Date : as soon as possible

Activity Rate Min : 80,00

Activity Rate Max : 100,00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 1742

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institution: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

The Swiss AI Initiative, a joint effort between EPFL and ETH Zürich, seeks talented engineers to join our team developing the next generation of open foundation models, such as Apertus and beyond. Working with the world's most powerful public AI supercomputer (Alps), we aim to create open and transparent LLMs and multimodal AI models that benefit Swiss society while maintaining technological sovereignty.

We are looking for AI Research Software Engineers with expertise in one or more of the following areas:
Distributed AI training and optimization
Data curation (text and multimodal)
Model evaluation and benchmarking
Inference systems and deployment
Reasoning and retrieval-augmented generation (RAG)
Multi-modal AI models

• MSc in Computer Science, Data Science, AI or related field (exceptional BSc candidates will also be considered)
• Experience in AI and neural network architectures
• Strong programming skills in Python and knowledge of PyTorch or similar ML frameworks
• Experience with software development practices, including version control systems, debugging, testing, and deployment.
• Excellent problem-solving abilities and strong analytical skills.
• Ability to work effectively in a team as well as independently.

Please note that only applications meeting the criteria of the advertisement will be considered.

• A stimulating academic environment at one of the world's leading technical universities
• The opportunity to work with state-of-the-art supercomputing infrastructure and cutting-edge AI research
• Collaboration with top researchers and engineers from EPFL, ETH Zurich, CSCS, and other Swiss institutions
• Flexible working arrangements, including options for remote work
• Professional development opportunities, including conference attendance and specialized training
• The chance to contribute to open-source projects with global impact
• Access to the broader Swiss academic ecosystem and industry partnerships
• Being part of Switzerland's sovereign AI development, working on technology with national significance

Contract Start Date : as soon as possible

Activity Rate Min : 80,00

Activity Rate Max : 100,00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 1742

Description
We're looking for our next bold leader –
Head of Applied AI Research
– to join our quest to provide market-transforming solutions for businesses, care teams and consumers to interactively manage health and care.

About Medecision
Medecision is a leading healthcare SaaS platform helping health plans, providers, and members move from data to doing. Our platform powers utilization management, care management, quality, and risk programs for millions of members across the U.S.

Now, we are expanding our innovation with Medecision AI — an integrated initiative to embed agentic AI, predictive insights, and automation into every workflow. To lead this effort, we are creating a Center of Excellence (CoE) for AI that will shape the future of payer operations and clinical decision support.

Role Overview
We are seeking a visionary Head of AI Center of Excellence to build and lead Medecision's AI strategy, talent, and innovation engine. This leader will establish Medecision AI as a trusted, scalable, and ethical capability that enhances our core platform and unlocks new opportunities in clinical operations, member engagement, and medical cost savings.

The Head of AI CoE will balance innovation and execution—driving cutting-edge research, embedding AI in product lines, and ensuring regulatory, ethical, and operational rigor.

Are you ready? We are Join us in our journey to innovate solutions that solve real problems and partner with our clients to transform healthcare.

Location: Remote (US based)

Reports to: CEO (with strong partnership with CTO and Chief Product Officer)

Requirements
Key Responsibilities

• Strategy & Leadership
• Define and lead Medecision's enterprise AI strategy in alignment with the company vision.
• Build and manage the AI CoE as a high-performing, multidisciplinary team (data science, ML engineering, AI ethics, clinical informatics).
• Act as the external face of "Medecision AI" at conferences, publications, and partnerships.
• Innovation & R&D
• Drive applied research in agentic AI, LLMs, and predictive modeling for payer/provider use cases.
• Create a structured process for piloting, scaling, and productizing AI innovations across UM, CM, Quality, and Risk products.
• Partner with academic, vendor, and open-source AI communities to stay ahead of the curve.
• Operational Excellence
• Establish governance, compliance, and bias-mitigation frameworks for AI in healthcare.
• Build reusable AI/ML infrastructure (vector DBs, orchestration, monitoring, MLOps).
• Ensure AI models are explainable, auditable, and aligned with payer/provider regulatory requirements.
• Collaboration & Influence
• Partner with Product GMs and Engineering leaders to embed AI pods into each line of business.
• Work closely with Clinical and Compliance teams to validate AI models against industry guidelines (e.g., InterQual, MCG, CMS).
• Evangelize AI internally, building a culture of adoption and responsible innovation.

Qualifications

• 12+ years of experience in AI/ML, data science, or advanced analytics, with at least 5 in leadership roles.
• Proven track record building and scaling AI capabilities within healthcare, life sciences, or regulated industries.
• Deep expertise in applied AI/ML, including large language models (LLMs), RAG, NLP, predictive analytics, and MLOps.
• Strong knowledge of healthcare workflows (UM, CM, claims, risk adjustment, quality measures).
• Demonstrated ability to recruit, inspire, and lead world-class AI talent.
• Excellent communication skills; ability to translate complex AI concepts into business outcomes.
• Passion for improving healthcare outcomes and reducing costs through innovation.

Why Join Medecision AI

• Impact at Scale: Shape how millions of members experience care through intelligent automation.
• Innovation Culture: Lead a greenfield AI initiative inside an established healthcare SaaS leader.
• Talent Magnet: Build the most visible AI team in the payer space.
• Mission Driven: Apply your skills to bend the cost curve, improve access, and enhance quality of care.

Salary Description

Salary based on experience. Base plus bonus

Where passion meets opportunity

The best of your adventures is the one you have yet to sail

Your Purpose

The Data Scientist supports the On Board Revenue (OBR) team in driving data-informed decisions for different On Board Revenue (OBR) business (e.g. Beverage, SPA, Restaurants, Excursion, etc) across both digital and onboard channels. This role plays a critical part in generating insights from historical performance, supporting campaign targeting, and optimising the OBR product portfolio to enhance guest experience and revenue.

Reporting into the Data & Analytics Manager, the Data Scientist will work collaboratively with commercial stakeholders to ensure accurate, timely, and actionable analytics that inform strategic decisions for onboard operations and sales.

Your Impact

• Data Analysis and Insights: Analyse OBR products sales performance across multiple itineraries, channels, and canvases to uncover patterns and trends that support business decisions.
• Targeted Campaign Support: Identify the optimal products to promote for each canvas or segment within the prepaid area. Support the planning and targeting of OBR campaigns aimed at maximising conversion and guest satisfaction.
• Product Portfolio Optimisation: Suggest enhancements or changes to the OBR offering based on consumption data and guest preferences. Support continuous improvement of the onboard product mix.
• Ad Hoc Commercial Analysis: Perform bespoke analyses to assess business initiatives such as new canvas openings, itinerary changes, or pricing tests. Translate findings into clear, actionable recommendations.
• Stakeholder Collaboration: Work closely with the OBR Commercial, Onboard Operations, and Marketing teams to understand business needs and deliver data-driven insights that support their goals.
• Performance Monitoring: Track OBR KPIs over time, identifying under- and over-performing products, canvases, or channels. Support the business in identifying areas of opportunity.

Your Journey so far

• Bachelor's degree in Business Analytics, Data Science, Economics, Statistics, or a related field.
• 2–4 years of experience in a data analysis role, preferably in cruise, travel or hospitality.
• Proficiency in data visualisation tools (Power BI, Tableau) and data analysis tools (SQL, Excel, Python or R a plus).
• Experience with sales performance or product portfolio analytics preferred.

Your Essentials

• Strong analytical thinking with the ability to interpret complex datasets and draw meaningful conclusions.
• Excellent written and verbal communication skills, with the ability to translate data into clear business insights.
• Detail-oriented, self-motivated, and comfortable working across multiple projects and stakeholders.
• Collaborative mindset with a willingness to work closely with both technical and commercial teams.
• EU Passport or right to work in Switzerland

Our commitment

We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long-term positive impact on our guests, our employees and our planet.

Ready to turn your passion into something extraordinary? Join us at MSC Cruises, where new opportunities await. Apply today to be part of a global team that is pushing boundaries and achieving something remarkable. Your journey starts here

• Zürich
• 80% - 100%
• Product Development
• Englisch

Who we are?

Galaxus culture flows from our values: cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. "Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.

As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it's diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged — it's basically our brand.

As a Data Scientist within the financial risk team, you will work closely with product owners, software developers, and business stakeholders from finance, and fraud. Leveraging your expertise in outlier detection, and NLP, you will turn customer feedback into actionable insights, enhancing interactions within the Digitec Galaxus online shop. Additionally, you will apply traditional machine learning techniques to enable automated decision-making to define credit limits, and account clustering.

• Collaborate with multiple stakeholders to identify machine learning use cases, assessing their feasibility and potential impact.
• Conceptualize and develop machine learning models, overseeing all stages from initial prototype to deployment and continuous assessment.
• Communicate and present the results of pilots and projects effectively to both technical and non-technical stakeholders.
• Drive and expand data science initiatives within the Finance area, enhancing our capabilities and impact.
• Contribute to the community of machine learning engineers at Digitec Galaxus by enhancing our models, our codebase and our platform.

• 2+ years of experience as a Data Scientist, with a higher education degree in a data-focused field (e.g., Data Science, Statistics, Mathematics).
• Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, outlier detection, and NLP.
• Solid programming skills in Python and experience deploying ML models on cloud platforms.
• English fluency is required, and German skills (B1 or higher) are a plus.
• Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences.
• Experience in evaluating model performance using metrics that align with the use cases and business objectives.
• Awareness of data privacy regulations (e.g., GDPR) and a commitment to maintaining high standards of data security.
• Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders.
• Ability to identify opportunities for improvement and implementing changes to enhance productivity and effectiveness.
• Prioritizes empathy and compassion in decision-making.

• Culture is Everything: Our values—cooperative, innovative, piratesque, responsible, and ambitious—form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
• Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
• Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters—your development, our collective achievements, and tackling challenges with adaptability and resilience.
• Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
• Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2000 EDU points.
• Other Benefits: Enjoy discounted employee conditions in our shops and much more, 25 days of vacation, Galaxus Mobile at a special price and much more.

We team up for Success

At Galaxus, we grow talent by teaming up with people from diverse backgrounds to build the best team out there. We stand for equal treatment and opportunities for everyone, no matter your ethnic or national origin, religion, sexual orientation, marital status, gender, gender identity, age, disability, or any other status. Diversity is our fuel for innovation and a culture of openness and collaboration. We welcome applicants from all backgrounds, experiences, and perspectives.

Englisch

80% - 100%

Digitec Galaxus AG

Pfingstweidstrasse 60b

CH-8005 Zürich

Data Scientist

Location:Zurich, CH, 8005

At Barry Callebaut, we are on a journey to transform the cocoa and chocolate industry. As the world's leading manufacturer of high-quality chocolate and cocoa products, our actions truly shape the future of our industry. We are a business-to-business company, serving the entire food sector, from the cocoa bean to the finest chocolate product. We are a company with a purpose, we believe in doing well by doing good and reinvesting in the communities we operate. We have a long-standing commitment to sustainability and our goal is to shape a sustainable cocoa and chocolate future. We are headquartered in Zurich, and have more than 12,000 passionate Employees working in more than 40 countries worldwide. We are very proud of who we are and what we do. And of course, we are always looking for talented people to help us have a positive impact on our industry and beyond

About the role

Are you ready to turn data into impact at a global leader in chocolate and cocoa? Barry Callebaut's Business Optimization Programs team is on the hunt for a sharp, innovative Data Scientist to help shape the future of cocoa – one algorithm at a time. In this role, you'll be at the heart of some of our most exciting strategic initiatives, collaborating across departments to unlock value and drive smart decision-making. Work at the forefront of our digital transformation, using your expertise in Python, advanced statistical modeling, and AI/ML to deliver high impact projects from conception to execution. If you thrive on data, love working across diverse teams, and want to make a measurable difference in a company that's as passionate about innovation as it is about cocoa and chocolate – we'd love to hear from you.

Key responsibilities include

• Work together with Global Cocoa teams to understand complex business challenges and translate them into data science use cases and solutions
• Identify and drive new ideas and innovative data solutions with significant business impact, converting ideas into concrete designs and projects
• Analyze and structure large, and complex data sets using statistical, ML/AI and other modern data science techniques and frameworks, to identify trends and provide insights
• Design, build, test and deploy data models and other data products using appropriate tools and techniques
• Collaborate with cross-functional business and digital teams to successfully deploy data model solutions across Global Cocoa division
• Thoughtfully communicate complex data insights to non-technical stakeholders in a clear and concise manner

About you

• Phd or Post Doctorate's degree in Computer Science or related STEM field
• 8+ years of experience in model optimization, data science or related field using programming languages such as Python
• Working experience in modeling optimization tools using SCIP and/or Gurobi, as well as experience with SQL, relational databases, and data frame libraries
• Working experience with Microsoft Azure AI and Dev Ops
• Working experience with AI coding assistants e.g. cursor, replit, gpt code agent etc.
• Fluent knowledge of English (other languages spoken in the Barry Callebaut world, are a plus)
• Proficient in Python
• Knowledge of advanced statistical modeling techniques (time series methods)
• Knowledge of advanced AI/ML techniques for forecasting, optimization and prediction
• Knowledge of Microsoft Fabric
• Knowledge of Azure DevOps, or similar tools highly desirable
• Analytical problem solving
• Basic project management knowledge (a plus)
• Understanding of cocoa industry (a plus)
• Strong interpersonal skills and enjoy working in cross-functional teams
• Ability to engage both with technical and non-technical teams and management
• High level of credibility
• Adaptability and willingness to come forward with new ideas on how to improve ways of working
• Positive, proactive, and hands-on working style
• Experience working in cross-functional teams with business and technical stakeholders
• Ability to communicate technical concepts in a clear and engaging way (written and oral)
• Structured & solution oriented

At Barry Callebaut, we are committed to Diversity & Inclusion. United by our strong values, we thrive on the diversity of who we are, where we come from, what we've experienced and how we think. We are committed to nurturing an inclusive environment where people can truly be themselves, grow to their full potential and feel they belong. #oneBC - Diverse People, Sustainable Growth.

If you want to learn more about Barry Callebaut, please find further information here.

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Pour notre division Systèmes d'information pour les services Data Science, nous recherchons une personnalité engagée et experte pour accompagner notre Maison dans la maîtrise de la donnée.

En tant que Data Scientist, vous contribuez activement à l'amélioration continue de nos processus de classification et d'analyse. Votre expertise permet d'apporter une réelle valeur ajoutée à la gestion de l'information et à la transformation numérique de notre Maison.

Responsabilités

• Développer des solutions performantes pour la classification précise des couleurs de cadran
• Élaborer des outils d'identification et de classification des composants

• Renforcer la capacité à classifier les RMC de manière fiable et automatisée

• Assurer la maintenance et l'évolution des jeux de données en lien avec les besoins métiers et technologiques

• Garantir la qualité, la cohérence et la sécurité des données utilisées

• Concevoir, développer et déployer des cas d'usage à forte valeur ajoutée en data science

• Maintenir une relation régulière et constructive avec nos partenaires académiques pour favoriser les échanges et la montée en compétences, notamment dans le cadre de projets de master

• Accompagner et soutenir les groupes Data Science métiers dans l'industrialisation de leurs cas d'usage
• Travailler en étroite collaboration avec les équipes R&D pour garantir l'alignement entre les solutions techniques et les enjeux métiers

Profil

• Diplômé(e) d'un Master en Data Science
• Maîtrise approfondie de Dataiku et des techniques avancées de science des données
• Expertise en classification et manipulation de jeux de données complexes
• Expérience démontrée en gestion de projet et en coordination de partenaires internes et externes
• Excellentes aptitudes en communication, capacité à travailler en équipe et à dialoguer avec différents interlocuteurs
• Sens du service, rigueur et discrétion

Nous vous offrons un environnement stimulant, d'excellentes conditions de travail, des solutions de flexibilisation du temps de travail et des prestations sociales de premier ordre.

Nous vous remercions d'adresser un dossier de candidature complet (CV, lettre de motivation, certificats et diplômes).