Senior Data Scientist — End-to-End AI & Insights Leader

Vizient, Inc.; Chicago (IL); On-site; USD 102,000 - 179,000; Full time

Benefits offered by this job

Incentive eligible

Job summary

Vizient, Inc. is seeking a data scientist to develop automated analytics products and advanced data science solutions addressing complex business and client questions, improving clinical, operational, and economic outcomes.

You will work in an environment of ambiguity, rapid learning, and evolving requirements, using experimentation, prototyping, validation, and feedback to translate ideas into testable solutions.

Qualifications

• Relevant degree preferred.
• 5+ years of relevant experience required.
• Experience with ML, NLP, generative AI, and advanced DS methods.
• End-to-end DS workflows including data prep, feature engineering, modeling, deployment.
• Proficiency in Python, R, SQL, SAS, MATLAB, or Java.
• Experience with large, diverse datasets and data integration.
• Experience with Databricks, Spark, Hadoop, Tableau or similar platforms.

Responsibilities

• Develop data science solutions and automated analytics products across multiple projects.
• Translate business needs into testable solutions via prototyping and validation.
• Apply ML, NLP, statistical modeling, and predictive analytics to structured and unstructured data.
• Evaluate feasibility, analyze results, refine models through iterations.
• Collaborate with product, engineering, and platform teams to move from research to production.
• Communicate insights with clear visualizations to technical and non-technical audiences.
• Develop and revise technical code; guide other data scientists.
• Evaluate new data science methods and technologies to improve capabilities.

Skills

Python

SQL

R

Machine Learning

NLP

Generative AI

Data Visualization

Cloud platforms

Education

Bachelor's degree preferred

Tools

Databricks

Apache Spark

Tableau

Hadoop

Job description

Vizient, Inc. is seeking a data scientist to develop automated analytics products and advanced data science solutions addressing complex business and client questions, improving clinical, operational, and economic outcomes.

You will work in an environment of ambiguity, rapid learning, and evolving requirements, using experimentation, prototyping, validation, and feedback to translate ideas into testable solutions.