Healthtech Data Scientist: AI, Impact & Growth

Siemens Healthineers AG; Malvern (Chester County); Presencial; USD 127.000 - 174.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Long-term and short-term disability

Paid parking/public transportation

Paid time off

Paid sick and safe time

Descripción de la vacante

Siemens Healthineers is seeking a mid-level Data Scientist in Malvern, PA to translate business problems into actionable analytics and to develop statistical models and ML-driven applications. The role requires collaboration with Data Engineering and Front-End teams to ensure seamless integration with existing systems.

You will communicate complex findings to both technical and nontechnical stakeholders and take ownership from problem definition through implementation, with potential to grow

Formación

• Strong proficiency in Python, SQL, statistics, and machine learning.
• Practical understanding of AI, including generative AI and its applications and limitations.
• Strong critical thinking, problem-solving, and communication skills.
• Experience collaborating with cross-functional technical teams.

Responsabilidades

• Translate business problems into actionable analytical and technical solutions.
• Develop and implement statistical models, machine learning solutions, and AI-driven applications.
• Collaborate with Data Engineering and Front-End Development to ensure solutions integrate effectively into existing systems.
• Evaluate data quality, assumptions, technical trade-offs, and downstream impacts.

Conocimientos

Python

SQL

Statistics

Machine Learning

Communication

Cross-functional collaboration

Leadership potential

Educación

Bachelor's degree

Herramientas

Databricks

Descripción del empleo

Siemens Healthineers is seeking a mid-level Data Scientist in Malvern, PA to translate business problems into actionable analytics and to develop statistical models and ML-driven applications. The role requires collaboration with Data Engineering and Front-End teams to ensure seamless integration with existing systems.

You will communicate complex findings to both technical and nontechnical stakeholders and take ownership from problem definition through implementation, with potential to grow