GenAI & ML Data Scientist - Production Systems

Hong Kong Study Skills Research Institute; United States; On-site; USD 87,700 - 146,100; Full time

Job summary

IQVIA in the United States is looking for a skilled Data Scientist to design and implement scalable data pipelines and machine learning systems. This role involves collaborating with cross-functional teams, deploying robust machine learning solutions, and enhancing performance using advanced AI technologies.

The ideal candidate will have a Master’s Degree and experience in ML/AI research, along with strong skills in Python and cloud-based data science platforms. Compensation ranges from $87,700 to $146,100 based on qualifications and experience.

Qualifications

• 1–2 years demonstrated experience in cutting‑edge ML/AI research.
• Strong proficiency in Python and PySpark, with fluency in modern data science and machine learning libraries.
• Hands‑on experience with cloud‑based data science platforms preferred.

Responsibilities

• Design and implement scalable data pipelines and engineering infrastructure for machine learning.
• Develop, build, and deploy real-world machine learning production systems.
• Collaborate with cross-functional teams for integration of machine learning solutions.

Skills

Python

Machine Learning

Data Engineering

Generative AI

MLOps

PySpark

Education

Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Tools

Databricks

FastAPI

Streamlit

Job description

IQVIA in the United States is looking for a skilled Data Scientist to design and implement scalable data pipelines and machine learning systems. This role involves collaborating with cross-functional teams, deploying robust machine learning solutions, and enhancing performance using advanced AI technologies.

The ideal candidate will have a Master’s Degree and experience in ML/AI research, along with strong skills in Python and cloud-based data science platforms. Compensation ranges from $87,700 to $146,100 based on qualifications and experience.