Lead AI and Data Scientist
Merz Aesthetics
full-time
Posted on:
Location Type: Hybrid
Location: Alcobendas • Spain
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Translate emerging AI capabilities into practical solutions for business challenges
- Own the end-to-end lifecycle of AI and data science initiatives, from research and prototyping to robust production deployment
- Work closely with global AI and analytics teams to align on strategy, share best practices, and co-develop solutions
- Collaborate with EMEA business units and departments to identify high-value AI opportunities
- Drive experimentation and application of advanced models (LLMs, generative architectures) for business and customer impact
- Ensure models meet the highest standards of scalability, ethics, and performance
Requirements
- 8+ years of professional experience in Data Science
- Degree in Engineering, Mathematics, Computer Science, or a related quantitative field (Master’s or higher preferred)
- Strong background in machine learning, statistical modeling, and applied mathematics
- Strong background in Cloud platforms (Azure, AWS, GCP)
- Knowledge and/or hands-on experience with Generative AI technologies is highly valued
- Proven ability to lead projects and inspire teams
Benefits
- 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningstatistical modelingapplied mathematicsgenerative AIlarge language modelsadvanced modelsproduction deploymentresearchprototyping
Soft Skills
leadershipcollaborationcommunicationproject managementstrategic alignmentinspirationexperimentationproblem-solvingteamworkethics
Certifications
Master’s degreePhD in quantitative fielddata science certificationmachine learning certificationcloud certification