Data Scientist (Machine Learning)

Location: Hybrid roles available in the United States or Germany, including Cambridge, Massachusetts; Dover, New Jersey; Cologne; Karlsruhe; Frankfurt am Main; Muenster; Ulm; and Leipzig

Salary: US$90,000–US$140,000 per year; an alternative range of €50,000–€60,000 per year is also listed. Compensation is negotiable.

Company

hirify.global is the company listed for this Data Scientist role.

What you will do

• Develop scalable data pipelines, reports, and automation workflows.
• Build, train, and optimize machine learning models for real-world business problems.
• Deploy and monitor ML models using modern MLOps tools and frameworks.
• Maintain model performance, observability, and reliability in production.
• Collaborate with data engineers, product teams, and stakeholders on end-to-end solutions.
• Contribute to documentation, technical best practices, and knowledge sharing.

Requirements

• Strong hands-on experience with Power BI or Tableau.
• Experience designing dashboards for business stakeholders.
• Proficiency in SQL and Python.
• Ability to work in the listed hybrid locations in the United States or Germany.

Nice to have

• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.

Culture & Benefits

• Competitive salary and performance bonus.
• Hybrid working model with flexible hours.
• Annual learning and development budget for certifications, courses, and conferences.
• Modern technology stack with the opportunity to influence tooling decisions.
• Collaborative environment where ideas can shape the roadmap.