Develop automated analytics products and advanced data science solutions using machine learning, NLP, statistical modeling, predictive analytics, and generative AI. Lead end-to-end workflows from data preparation and experimentation through model validation, deployment, and visualization. Partner with product, engineering, and platform teams to move solutions from research into production, communicate findings to technical and non-technical audiences, and guide other data scientists.
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
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.
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.
Qualifications:
- Relevant degree preferred.
- 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.
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
Vizient Chicago, Illinois, USA Office
Chicago, United States
Vizient Skokie, Illinois, USA Office
Skokie, United States
Similar Jobs
Big Data • Real Estate • Software
Owns experimentation, business analytics, reporting, and advanced analysis for Realtor.com’s RDC Next platform. The role analyzes consumer and agent behavior, designs A/B and quasi-experiments, builds trusted datasets and dashboards, and delivers recommendations that influence product and business strategy. It also develops AI-enabled analytics workflows using LLMs, RAG, and agentic tools; partners with Product, Engineering, Finance, Marketing, and data teams; mentors analysts; and helps establish analytical standards and scalable data solutions.
Top Skills:
AirflowAmplitudeClaude CodeDbtGeminiLlm ApisLookerModel Context Protocol (Mcp)NumpyPandasPythonRRetrieval-Augmented Generation (Rag)Scikit-LearnSnowflakeSQLTableau
Big Data • Real Estate • Software
Lead experimentation, product analytics, and reporting for Owners and Sellers. Conduct exploratory, descriptive, statistical, and predictive analyses; design multivariate tests; define success metrics; and translate consumer behavior insights into product and business strategy. Build AI-enabled self-service reporting, improve tracking and data quality, and develop scalable ETL pipelines while partnering with Product, Engineering, Finance, Marketing, and Business Intelligence teams.
Top Skills:
AirflowAmplitudeClaudeDbtEtl PipelinesMachine LearningMcpMultivariate TestingN8NPredictive AnalyticsPythonSQLStreamlitTableauWindsurf
Big Data • Real Estate • Software
Leads product analytics, experimentation, and advanced analyses for consumer content and visualization experiences. Defines success metrics, designs tests, improves tracking and data quality, builds ETL pipelines and AI-enabled self-service reporting, and translates consumer behavior insights into product and business strategy. Partners with Product, Engineering, Finance, and data teams to identify opportunities, measure performance, and influence the product roadmap.
Top Skills:
AirflowAmplitudeClaudeDbtMcpN8NOpenaiPythonSQLStreamlitTableauWindsurf
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
