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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль в AI даёт возможность вести решения от разработки до продакшена, работать с современным стеком и получить стабильные условия в крупной компании из сфер здравоохранения и логистики.
Современный стек
Полный цикл разработки
Сильный соцпакет
AI в здравоохранении
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (AI): Designing, developing, and deploying machine learning, predictive analytics, optimization, generative AI, and agentic AI solutions with an accent on end-to-end product delivery, cloud platforms, and MLOps. Focus on building production-grade AI systems, ensuring model quality and explainability, and mentoring junior data scientists.
Location: Headquarters in Mannheim, Germany; company locations also include Fürth, Germany. Mobile office and flexible working time models are available.
Company
PHOENIX is a market-leading pharmaceutical wholesaler and integrated healthcare provider operating across 29 countries, supplying pharmacies and patients with medicines and healthcare products.
What you will do
Design, develop, and deploy machine learning, predictive analytics, optimization, generative AI, and agentic AI solutions for complex business challenges.
Lead end-to-end AI product development from problem definition and experimentation through production deployment and monitoring.
Build solutions with Python, PySpark, Databricks, Microsoft Azure, CI/CD, and MLOps practices.
Collaborate with business stakeholders and cross-functional teams to identify data-driven decision-making and AI adoption opportunities.
Ensure model quality, reliability, explainability, compliance, and alignment with governance standards.
Mentor junior data scientists and evaluate new AI technologies, frameworks, and development approaches.
Requirements
Master’s degree or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
Several years of practical experience designing, developing, and deploying data science solutions in production environments.
Strong Python proficiency and experience with modern data science ecosystems, machine learning frameworks, and distributed data processing technologies.
Experience with cloud-based AI development, preferably Microsoft Azure, including APIs, version control, CI/CD, and DevOps.
Strong expertise in statistical modeling and machine learning, including relevant experience with generative and agentic AI.
Strong collaboration and communication skills in agile, cross-functional teams, including the ability to explain complex technical concepts to technical and non-technical audiences.
Professional proficiency in English is required.
Nice to have
Experience in healthcare, supply chain, logistics, or pricing domains.
German language skills.
Culture & Benefits
Permanent employment contract with vacation pay and 30 days of vacation.
Mobile office and flexible working time models.
Company pension scheme and job bike.
Career development opportunities within the PHOENIX Group.
Access to PHOENIX Learning World training courses and company events supporting team cohesion.
Hiring process
Apply online; the HR contact is Erik Sabo.
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