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Louis Vuitton

Louis Vuitton est une maison de luxe emblématique qui offre des opportunités de carrière dans divers métiers. Le site officiel des carrières de Louis Vuitton vous permet de découvrir les offres d'emploi disponibles et de rejoindre une équipe dédiée à l'innovation et à l'excellence. Que vous soyez intéressé par le développement durable, le commerce de détail ou d'autres domaines, vous trouverez ici un environnement stimulant pour faire avancer votre carrière.

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  About The Job
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 Louis Vuitton Americas is seeking a Senior Data Scientist &ndash; Analytics and AI Data to join our Digital team based in New York City. This individual will act as a hybrid data scientist, MLOps engineer, BI SME, business analyst, and data engineer, while owning the roadmap of analytics and AI solutions that can be industrialized and scaled by central teams. You will sit at the intersection of local business needs and global data/AI strategy, ensuring solutions are impactful, scalable, and aligned with enterprise priorities.
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 Job responsibilities
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   Product Strategy &amp; Cross-Functional Roadmap:
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    Lead the comprehensive analytics and AI roadmap, guiding it from opportunity identification and prioritization through delivery and transition to central teams.
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    Collaborate with diverse functional stakeholders (e-commerce, retail, CRM, supply chain, finance, etc.) to identify use cases, define problem statements, and translate these into clear data product requirements.
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    Establish success metrics, measure value realization, and continuously refine the roadmap based on impact and feedback.
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   Data Science &amp; Advanced Analytics:
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    Design and lead predictive models and analytical solutions utilizing Python and SQL.
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    Conduct thorough exploratory data analysis, feature engineering, model training, validation, and comprehensive documentation.
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    Develop reusable analytical assets (scores, segments, KPIs) for broad application across various markets and functions.
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   MLOps &amp; Data Engineering:
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    Collaborate with MLOps and Data Engineering teams to develop, orchestrate, and maintain robust data and machine learning pipelines, leveraging tools such as Dataiku and Google BigQuery.
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    Implement best practices for testing, version control, monitoring, and observability to ensure the creation of reliable, production-grade solutions.
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    Partner with central data engineering and platform teams to align initiatives with enterprise standards and promote scalability.
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    Work alongside business, local, and central Data Engineering teams to facilitate data integration and validation, effectively addressing diverse business challenges.
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   BI, Insights &amp; Business Analysis:
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    Act as a Business Intelligence Subject Matter Expert, contributing to the definition of semantic layers, Key Performance Indicators (KPIs), and data models that enable self-service analytics.
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    Guide or develop insightful dashboards and reports using tools like Power BI, Tableau, or Looker, ensuring their actionability and broad adoption across the organization.
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    Perform business analysis, meticulously gathering requirements, mapping processes, and transforming analytical findings into clear recommendations and compelling narratives for various stakeholders.
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   Collaboration with Central / Global Teams:
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    Prepare and package local or cross-functional solutions, including code, design specifications, documentation, and KPIs, for industrialization and ongoing maintenance by central teams.
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    Contribute to the continuous evolution of global data and AI standards, reference architectures, and best practices.
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    Represent cross-functional analytics and AI needs in global forums, effectively highlighting dependencies, potential risks, and opportunities for scaling solutions.
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 Profile
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 We are excited to speak to skilled and experienced data professional with 3+ years of hands-on experience in data science, analytics, or data engineering, demonstrating end-to-end ownership of data products. The ideal candidate will possess strong proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL skills, and experience with cloud data warehouses such as Google BigQuery. Practical experience with enterprise data processing platforms like Dataiku is also essential. Candidates should have demonstrated expertise in at least three of the following areas: data science/machine learning, BI/reporting and metric design, business analysis/stakeholder management, data engineering/data processing, or Gen AI/Agentic AI product deployment. Strong communication and storytelling abilities are crucial for fostering collaboration between business and technical teams.
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 Preferred qualifications include experience in retail, luxury, fashion, or consumer environments, familiarity with experimentation (A/B testing), customer analytics (segmentation, propensity, churn, LTV), or marketing attribution. Exposure to Generative AI/LLMs and their application to customer experience and productivity, along with experience in a hub-and-spoke operating model, are also highly valued. Core competencies for this role include transversal product thinking, technical breadth spanning data science, MLOps, BI, data analysis, and data engineering, the ability to lead initiatives effectively across functions and geographies, and a strong outcome orientation focused on measurable business value and long-term maintainability.
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 The appointed candidate will be offered a base salary within the range USD $140,000 - $160,000, a comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks and two retirement plans both with employer contributions.
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   Please note that restrictions may apply to part-time employees
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  The position requires 4 days per week on site in the Louis Vuitton Corporate Office, located in the heart of Midtown, Manhattan.
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 Additional information
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 Louis Vuitton is a company that respects the uniqueness of each employee and offers everyone the means to find their place and prosper. We promote initiatives aimed at supporting professional equality for everyone. We strive to go above and beyond purely symbolic measures by building a culture passionate about meaningful strategies aimed at crafting an inclusive workforce.
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 In addition to a generous benefits package, unparalleled career development opportunities, both locally &amp; globally, as an employee at Louis Vuitton, you can expect to be provided with industry leading training which will offer you an in-depth insight into the luxury and retail environment.
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 Reference LVM32143
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Senior Data Scientist – Analytics and AI Data

<p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Position
</b></h3><p></p><p><b>ABOUT LOUIS VUITTON
</b></p><p><i>We never stop dreaming. We craft new realities.
</i></p><p>Our company is more than a name; it&rsquo;s a mindset. We find balance in constant motion. The impossible triggers our creativity. Working together strengthens our passion.
</p><p>Since 1854, individuals at Louis Vuitton have shared the same spirit of excellence and reinvented their craft every day.
</p><p>Each career path is a true journey, fueled by emotion and achievement, desire and audacity. Today, in a context of strong growth, Louis Vuitton invites you to imagine your own journey by joining our teams.<br>
</p><p></p><p><b>YOUR MISSION
</b></p><p>We are currently looking for a temporary Stock Controller for our summer resort store in Bodrum, starting May 2026 <b>. </b>As a Stock Controller, you will be responsible for maintaining stock inventory in perfect condition, ensuring an efficient and logical organization of all stock rooms. You will manage delivery operations, prepare and replenish stock quickly and accurately, and ensure the right products are available on the sales floor to enhance store efficiency and maximize the client experience. In this role, you will work closely with the Supply Chain team to optimize stock management and support store operations.
</p></div><p></p><div><h3 class="jobSectionHeader"><b>Job responsibilities
</b></h3><p></p><p><b>Inventory Management
</b></p><ul><li>Guaranteeing an efficient and logical organization of all the storage rooms (products and packaging).
</li><li>Manage delivery activities, preparing and replenishing the stocks quickly and precisely.
</li><li>Guarantee the availability of the appropriate products in the Store to improve its efficiency and maximize the Client experience.
</li><li>Ensure a daily and optimal Stock counting by creating a precise Counting Calendar
</li>Prepare the shop floor with the necessary supplies to ensure a smooth and seamless selling process and the comfort of Client Advisors.<br>
<li>
</li></ul><p></p><p><b>Administration
</b></p><ul><li>Manage office supplies, uniform requests, kitchen supplies, etc.
</li>Follow the Internal Audit guidelines.<br>
<li>
</li></ul><p></p><p><b>General functions
</b></p><ul><li>Comply with the processes and procedures of the company.
</li><li>Be fully integrated in the Store team and contribute to fulfill the global objectives of the store.
</li><li>Help the Client Advisors to optimize their adaptability to the public inflow and adjust it to the Client&rsquo;s needs.
</li><li>Demonstrate curiosity and interest for the business, to be able to identify and resolve issues and therefore achieve higher efficiency and Client experience.
</li></ul></div><p></p><div><h3 class="jobSectionHeader"><b>Profile
</b></h3><p></p><ul><li>At least 3 years of experience in stock management/supply chain, ideally in a retail environment
</li><li>Fluent in Turkish &amp; English
</li><li>Strong sense of organization, attention to detail, and responsibility.
</li><li>Proactive and solution-oriented mindset, with the ability to anticipate and resolve challenges efficiently.
</li><li>Adaptable and resilient in a fast-paced retail environment, demonstrating flexibility in response to evolving store needs.
</li><li>Team player with strong collaboration skills, working seamlessly with store teams and the Supply Chain.
</li><li>Customer-focused approach, ensuring stock operations enhance the overall client experience.
</li><li>Curiosity and willingness to learn, with a keen interest in business operations and efficiency.
</li><li>Committed, proactive and able to adapt to a changing environment as retail
</li><li>Basic Tech knowledge (daily use of computers, phones, and tech tool.
</li></ul></div><p></p><div><h3 class="jobSectionHeader"><b>Additional information
</b></h3><p></p><p><i>Louis Vuitton is a company that respects the uniqueness of each employee and offers everyone the means to find their place and thrive. Around the world, our Maison is committed to ensuring a workplace that is founded on the principles of respecting differences and promoting inclusion.
</i></p></div></div></div><p></p><div><div><div><div><div><h2 class="jobSectionHeader"><b><i>LOUIS VUITTON
</i></b><br>
<b>MAISON
</b><br>
</h2><div>Founded in Paris in 1854, Louis Vuitton perpetuates the ambitious vision of its namesake. From his origins as a master trunk maker, manufacturing boxes used to pack both everyday objects as well as voluminous wardrobes, Louis Vuitton and his successors introduced numerous innovations including the advent of the flat-top trunk, lightweight canvas, signature patterns, and the tumbler lock. Today, Louis Vuitton&rsquo;s legacy is expressed through its rigorous spirit of innovation, the boldness of its creations and an uncompromising demand for excellence.</div></div></div></div></div></div></div><p></p>

Stock Controller - Bodrum

Join Louis Vuitton and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Louis Vuitton

About Company

Senior Data Scientist – Analytics and AI Data

Stock Controller - Bodrum