Data science specialist

Job Description:

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors.

Our client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact.

This role starts in March 2026 with a remote-first setup. The first three months will be remote to align objectives, workflows, and milestones. After that, any on-site engagement in China may be arranged by mutual agreement, based on project needs - for example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation.

Key Responsibilities

• Conduct research and hands-on development in data mining, machine learning, and applied modeling.

• Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring.

• Work with data engineering to ensure data quality, reliability, and efficient pipelines.

• Deliver predictive, recommendation, or optimization models aligned with business goals.

• Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts.

Your Profile

• Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience.

• Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research).

• Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices.

• Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra).

• Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus.

• English is the working language; additional languages are a plus.

We Offer

• Very competitive salary package and comprehensive benefits.

• Remote-first working model with optional short on-site exchanges by mutual agreement.

• Housing and family allowances available when on-site work is arranged.

• Access to cutting-edge tools and real-world, high-impact applications.

• Dynamic and innovative environment with clear growth opportunities.

Application

Please prepare the following:

• Curriculum Vitae (CV)/Resume

• Ph.D., Diploma, Master’s, Bachelor’s certificates or official transcripts (if available)

• Research portfolio (publications, patents) and/or portfolio of past projects (for industry professionals)

• Proof of work experience (certificate of employment, if available)

To support the hiring process, you may also include:

• Professional references and letters of recommendation

• Additional certifications (if relevant)

Your expertise will significantly contribute to delivering production-grade AI systems-spanning predictive and recommendation models, optimization, and multimodal capabilities-that drive measurable business impact at scale. AMLZ Recruiting is committed to your professional journey and personal satisfaction. For inquiries or additional information, please reach out to Ms. Katharina Weber at

By submitting your application, you consent to AMLZ GmbH sharing your personal data and application materials with relevant third-party organizations solely for employment and job placement purposes.

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors.

Our client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact.

This role starts in March 2026 with a remote-first setup. The first three months will be remote to align objectives, workflows, and milestones. After that, any on-site engagement in China may be arranged by mutual agreement, based on project needs - for example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation.

Key Responsibilities

• Conduct research and hands-on development in data mining, machine learning, and applied modeling.

• Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring.

• Work with data engineering to ensure data quality, reliability, and efficient pipelines.

• Deliver predictive, recommendation, or optimization models aligned with business goals.

• Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts.

Your Profile

• Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience.

• Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research).

• Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices.

• Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra).

• Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus.

• English is the working language; additional languages are a plus.

We Offer

• Very competitive salary package and comprehensive benefits.

• Remote-first working model with optional short on-site exchanges by mutual agreement.

• Housing and family allowances available when on-site work is arranged.

• Access to cutting-edge tools and real-world, high-impact applications.

• Dynamic and innovative environment with clear growth opportunities.

Application

Please prepare the following:

• Curriculum Vitae (CV)/Resume

• Ph.D., Diploma, Master’s, Bachelor’s certificates or official transcripts (if available)

• Research portfolio (publications, patents) and/or portfolio of past projects (for industry professionals)

• Proof of work experience (certificate of employment, if available)

To support the hiring process, you may also include:

• Professional references and letters of recommendation

• Additional certifications (if relevant)

Your expertise will significantly contribute to delivering production-grade AI systems-spanning predictive and recommendation models, optimization, and multimodal capabilities-that drive measurable business impact at scale. AMLZ Recruiting is committed to your professional journey and personal satisfaction. For inquiries or additional information, please reach out to Ms. Katharina Weber at

By submitting your application, you consent to AMLZ GmbH sharing your personal data and application materials with relevant third-party organizations solely for employment and job placement purposes.