Senior Data Scientist

Vizient•Chicago, IL

3d•$102,400 - $179,000

About The Position

In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and improve clinical, operational, and economic outcomes. You will operate in an environment of ambiguity, rapid learning, and evolving requirements, using experimentation, prototyping, validation, and continuous feedback to translate emerging concepts into testable solutions. You will evaluate technical and business feasibility, refine analytical approaches through iterative development, and partner with product and technical teams to advance promising capabilities from early research through pilot, production readiness, and ongoing enhancement.

Requirements

5 or more years of relevant experience required.
Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
Experience with experimentation, prototyping, model evaluation, validation, and iterative solution development.
Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
Experience working with complex datasets, including data discovery, preparation, enrichment, validation, normalization, and integration of disparate data sources.
Experience with analytics, cloud-based, or distributed data platforms such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
Ability to navigate ambiguity and evolving requirements while translating emerging concepts into practical, testable solutions.
Strong analytical and problem-solving skills with the ability to assess feasibility, make autonomous project-level decisions, and refine approaches based on evidence and feedback.
Strong communication and collaboration skills with the ability to convey complex analytical concepts to technical and non-technical clients and work effectively across product and technical teams.

Nice To Haves

Relevant degree preferred.

Responsibilities

Develop data science solutions, automated analytics products, and actionable insights across multiple projects and domains with minimal guidance.
Translate emerging concepts and business needs into testable solutions through experimentation, rapid prototyping, validation, and iterative development.
Apply machine learning, natural language processing, statistical modeling, and predictive analytics techniques to structured and unstructured data.
Evaluate technical and business feasibility, analyze results, and refine models and methods through successive development cycles and continuous feedback.
Apply expertise across data discovery, structuring, cleaning, enrichment, statistical design, modeling, validation, deployment, and insight delivery.
Make autonomous analytical decisions related to exploratory analysis, model development, methodology selection, visualization, and deployment based on project objectives.
Analyze complex datasets and communicate exploratory and predictive findings through clear insights and visualizations for technical and non-technical audiences.
Develop and revise technical code, apply data science best practices, and provide guidance to other data scientists on analytical approaches and solution development.
Partner with product, engineering, and platform teams to advance promising capabilities from research and prototyping through pilots, production readiness, and ongoing enhancement.
Evaluate emerging data science methods, tools, and technologies to identify opportunities to improve analytical capabilities and client solutions.