Data Scientist at IQVIA United States

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

Data Scientist job at IQVIA in the United States. We are seeking a highly skilled Data Scientist to join our team and support designing and deploying robust machine learning and GenAI systems to drive consumer targeting initiatives using artificial intelligence, generative AI, data engineering, and MLOps practices, with the ability to translate business needs into technical solutions.

Responsibilities

• Design and implement scalable data pipelines and engineering infrastructure to support machine learning and generative AI systems.
• Develop, build, and deploy real-world machine learning production systems for training and inference.
• Identify and evaluate new technologies to enhance the performance, maintainability, and reliability of machine learning systems.
• Apply DevOps best practices to machine learning, including CI/CD, automation, and continuous monitoring.
• Facilitate the development and deployment of proof-of-concept machine learning models to validate business hypotheses.
• Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into existing systems.

Qualifications

• Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field.
• 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 (e.g., Databricks or equivalent) preferred.
• Experience in building backend and frontend applications using frameworks such as FastAPI and Streamlit.

Compensation: The potential base pay range for this role, when annualized, is $87,700.00 – $146,100.00. The actual base pay offered may vary based on a number of factors including job‑related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part‑time). Depending on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

EEO Statement: Minorities/Females/Protected Veterans/Disabled.