Nuance Audio - EMEA Audio Data Scientist

EssilorLuxottica Group; Charenton-le-Pont; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Une entreprise leader dans l'optique recherche un Audio Data Scientist basé à Charenton-le-Pont. Ce poste clé consiste à analyser des données pour éclairer des décisions stratégiques et optimiser les investissements marketing. Le candidat idéal possède une solide expérience en data science, maîtrise Python et SQL, et est capable de traduire des données complexes en perspectives commerciales claires.

Qualifications

• 5+ years of experience in a data science or analytics role.
• Strong proficiency in Python, R, and SQL.
• Excellent communication skills for data insights.

Responsabilités

• Analyze market trends and competitive landscape across EMEA.
• Evaluate marketing campaign ROI and recommend budget allocations.
• Build forecasting models for sales and market trends.

Connaissances

Python

R

SQL

Data Visualization

Analytical Thinking

Formation

Master's or PhD in Data Science or related field

Outils

Power BI

Tableau

Description du poste

If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

Discover more by following us on LinkedIn !

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.

Counting on EssilorLuxottica’s 60+ years of eyewear excellence, Nuance Audio combines sound engineering and world-class smart eyewear design for a stylish, high-tech solution engineered to transform lives.

Nuance Audio integrates advanced AI-powered audio technology into eyewear solutions. This innovative product targets individuals with mild hearing loss and offers a unique, lifestyle-enhancing experience by combining cutting-edge audio technology with our comprehensive lens portfolio.

Your role :

We are seeking a highly impactful and business-savvy Audio Data Scientist to join our EMEA team. In this role, you will leverage data to drive strategic decisions across markets, optimize marketing and commercial investments, and support B2B and consumer-facing initiatives. You will collaborate cross-functionally with marketing, sales, finance and product teams to deliver actionable insights that fuel growth and innovation.

You will have the opportunity to work on the Nuance Audio product range, which is currently being launched across EMEA and already demonstrating strong business impact. This is a newly created role , ideal for a proactive and entrepreneurial Data Scientist who is eager to define analytical frameworks, develop new methodologies, and build data-driven capabilities across diverse markets.

We’re looking for someone who thrives in a dynamic environment and is excited to lay the foundation for impactful, long-term insights. As the role evolves, it may also expand to include other Wearables such as Ray-Ban Meta and Oakley Meta . You’ll be part of a collaborative culture that values innovation, curiosity, and continuous learning.

Main responsibilities :

• Market Understanding & Share Analysis
• Analyze market trends, competitive landscape, and category dynamics across EMEA.
• Track and model market share evolution by country, channel, and product line.
• Drivers of Success
• Identify and quantify key drivers of performance including brand equity, product range, pricing, and promotional effectiveness.
• Develop models to assess the impact of brand and product strategies on business outcomes.
• ROI & Investment Optimization
• Evaluate the return on investment (ROI) of marketing campaigns, trade promotions, and other commercial initiatives.
• Recommend budget allocations and investment strategies based on predictive analytics.
• B2B Business Steering
• Monitor and analyze correlations between in-store activities such as product demos, sales and merchandising efforts.
• Track sell-out performance to consumers and identify levers to improve conversion and engagement.
• Consumer Usage Insights
• Analyze consumer behaviour data to understand usage patterns (e.g., hours of use, context such as TV viewing, restaurant visits).
• Segment users based on behaviour and develop personas to inform product and marketing strategies.
• Build and maintain forecasting models for sales, demand, and market trends.
• Support scenario planning such as seasonality analysis and business simulations to guide strategic decisions.

Main requirements :

• Master’s or PhD in Data Science, Statistics, Economics, Computer Science, or a related field.
• 5+ years of experience in a data science or analytics role, preferably in a multinational or EMEA-focused environment.
• Strong proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with forecasting, market modelling, and ROI analysis.
• Excellent communication skills with the ability to translate complex data into clear business insights.
• Experience in B2B and / or consumer goods industries is a plus.
• Fluent in English; additional EMEA languages are a plus.

Our Diversity, Equity and Inclusion commitment

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.