Healthcare Data Scientist: AI, Analytics, Hybrid

Siemens Healthineers AG; United States; Hybrid; USD 127,000 - 174,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Paid parking/public transportation

Paid time off

Paid sick time

Job summary

Siemens Healthineers AG in the United States seeks a mid-level Data Scientist to translate complex business problems into actionable analytics. You will collaborate across Data Science, Data Engineering, and Front-End teams to build ML solutions, evaluate data quality, and communicate findings to stakeholders.

The role offers a hybrid work arrangement and potential to grow into technical leadership. Experience with Databricks, CRM/ERP data environments, and healthcare is preferred.

Qualifications

• Mid-level data scientist with strong analytical skills and communication abilities.
• Experience with Databricks, CRM/ERP data environments, and healthcare.
• Proficiency in Python, SQL, statistics, and machine learning.
• Knowledge of AI, including generative AI, and its limitations.
• Ability to work independently and lead initiatives.

Responsibilities

• Translate business problems into analytical solutions.
• Develop and deploy statistical models, ML solutions, and AI-driven applications.
• Collaborate with Data Engineering and Front-End Development to integrate solutions into existing systems.
• Evaluate data quality, assumptions, and trade-offs.
• Communicate technical findings and recommendations to stakeholders.
• Take ownership from problem definition through implementation.

Skills

Python

SQL

Statistics

Machine Learning

AI

Critical thinking

Communication

Cross-functional teamwork

Leadership potential

Education

Bachelor's degree

Tools

Databricks

CRM/ERP data platforms

Job description

Siemens Healthineers AG in the United States seeks a mid-level Data Scientist to translate complex business problems into actionable analytics. You will collaborate across Data Science, Data Engineering, and Front-End teams to build ML solutions, evaluate data quality, and communicate findings to stakeholders.

The role offers a hybrid work arrangement and potential to grow into technical leadership. Experience with Databricks, CRM/ERP data environments, and healthcare is preferred.