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Director Data Analyst Machine Learning Jobs in Evanston, IL

Senior Data Scientist

Chicago, IL · On-site

$102K - $179K/yr

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Predictive Machine Learning & Advanced Data Engineering * Stochastic Risk Engineering & Code ...

Machine Learning Lead

Chicago, IL · On-site

$225 - $275/hr

... data science, or production ML roles * Demonstrated experience building fraud models in payments, with direct exposure to the acquiring side -- acquirer, PSP, or payment facilitator * Proven track ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Self-Directed: You take ownership of problems end-to-end and continuously look for opportunities to ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Self-Directed: You take ownership of problems end-to-end and continuously look for opportunities to ...

Showing results 41-60

Director Data Analyst Machine Learning information

See Evanston, IL salary details

$32.6K

$79.3K

$130.5K

How much do director data analyst machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for director data analyst machine learning in Evanston, IL is $79,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Evanston, IL?

For Director Data Analyst Machine Learning jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Evanston, IL look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Director Data Analyst Machine Learning jobs?

Cities near Evanston, IL with the most Director Data Analyst Machine Learning job openings:

Infographic showing various Director Data Analyst Machine Learning job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $79,306 per year, or $38.1 per hour.

Senior Data Scientist

Vizient

Chicago, IL • On-site

$102K - $179K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Develop and implement advanced machine learning, generative AI, natural language processing, statistical modeling, and unsupervised learning approaches across structured and unstructured data.

  • Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains.

  • Analyze large-scale, high-dimensional datasets to identify trends and actionable insights, and translate analytical findings into clear insights, dashboards, reports, and presentations.


Job description

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 conduct sophisticated data analysis to address complex business and client questions. You will design, implement, and deploy advanced data science solutions across multiple projects and domains, translating analytical findings into actionable insights that improve clinical, operational, and economic outcomes. You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality, scalable analytic solutions aligned with organizational objectives.

Responsibilities:

  • Develop and implement advanced machine learning, generative AI, natural language processing, statistical modeling, and unsupervised learning approaches across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains.
  • Analyze large-scale, high-dimensional datasets using modern programming tools and distributed computing platforms to identify trends and actionable insights.
  • Apply expertise across end-to-end data science workflows, including data discovery, structuring, cleaning, enrichment, feature engineering, modeling, validation, deployment, and insight delivery.
  • Make autonomous analytical and modeling decisions based on project goals, including approach selection, exploratory analysis, model development, and visualization.
  • Translate complex analytical findings into clear insights, dashboards, reports, and presentations for technical and non-technical audiences.
  • Develop and review technical code, apply data science and software development best practices, and provide guidance to other data scientists.
  • Partner with engineering and platform teams to deploy, monitor, and maintain machine learning, generative AI, and other advanced analytics solutions.
  • Apply responsible AI and model governance practices, including documentation, explainability, bias assessment, testing, and validation.
  • Evaluate emerging analytical and AI technologies and collaborate with cross-functional teams to integrate solutions into products, workflows, and business processes.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience with agentic AI concepts and environments, including LLM-based workflows, tool orchestration, retrieval-augmented generation, autonomous workflows, or human-in-the-loop patterns.
  • Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
  • Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
  • Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
  • Experience working with large, complex datasets and integrating data from disparate sources.
  • Experience with cloud-based and distributed data platforms and analytics frameworks such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
  • Experience developing and deploying machine learning, generative AI, or advanced analytics solutions in production environments.
  • Knowledge of responsible AI, model governance, explainability, bias assessment, and validation practices.
  • Strong analytical, problem-solving, communication, and collaboration skills with the ability to convey complex concepts to technical and non-technical clients.

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.