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Director Data Analyst Machine Learning Jobs in Evanston, IL

Socket.dev

Machine Learning Engineer

Oakbrook Terrace, IL · On-site

$110 - $145/hr

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... Build and maintain data validation and quality checks to ensure reliability of downstream analytics ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... specifically involving direct client engagement that includes a data component * Strong ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... specifically involving direct client engagement that includes a data component * Strong ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Driven by data science and powered by machine learning, our offering analyzes officer performance ... specifically involving direct client engagement that includes a data component * Strong ...

National Association of REALTORS

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

... machine learning-related projects * Participate in source control, deployment, and project ... Direct Mail * Effective Online Marketing * Auctions * Browse all Marketing * Residential Real ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110 - $130/hr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/hr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

World S Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

Vizient, Inc.

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 ...

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Showing results 21-40

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Evanston, IL

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?

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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:

Director Data Analyst Machine Learning jobs near you
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.

Machine Learning Engineer

Darwill, Inc.

Oakbrook Terrace, IL • On-site

Full-time

Posted 11 days ago

Job description

Overview
Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.
We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.
This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role.
Location
Chicago, IL area (Oak Brook / West Suburbs)
Hybrid work model with 1-2 days onsite per week required
Reports To
VP of Data Engineering & Data Science
Responsibilities / Essential Functions
Data Engineering & Platform Foundations
  • Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
  • Independently implement data transformations, joins, and aggregations across large, multi-source datasets
  • Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
  • Optimize Databricks jobs for performance, scalability, and cost efficiency
  • Write and maintain clear technical documentation for data pipelines and tables

ML Engineering & MLOps
  • Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
  • Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
  • Build and maintain repeatable ML pipelines for training, batch scoring, and inference
  • Implement model versioning, experiment tracking, and reproducibility standards
  • Support model performance monitoring, drift detection, and retraining cycles

Deployment, Monitoring & Operations
  • Deploy data pipelines and ML workflows into production environments serving millions of records
  • Implement monitoring and alerting for data and ML pipelines
  • Support A/B testing and model performance evaluation in partnership with Data Science
  • Troubleshoot production issues independently and collaborate effectively when escalation is needed

GenAI (Secondary / Directional)
  • Contribute to GenAI initiatives as capacity allows
  • Stay informed on emerging AI technologies and tooling
  • (GenAI is not the primary focus of this role today.)

Required Qualifications
Experience
  • 3-6 years of professional experience in machine learning engineering, data engineering, or a closely related role
  • Experience working in production environments with minimal day-to-day supervision
  • Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems

Technical Skills (Must-Have)
Data Engineering & Platform
  • Apache Spark (PySpark, SparkSQL)
  • Databricks (ETL pipelines, workflows, Delta Lake)
  • Strong SQL skills (complex queries, joins, window functions, optimization)
  • Experience building and maintaining scalable data pipelines

Programming & Machine Learning
  • Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
  • Feature engineering and data preparation for ML models
  • Working knowledge of supervised learning models (classification, regression, ranking)

MLOps & Production
  • Experience deploying ML models into production
  • Model versioning and experiment tracking (e.g., MLflow or similar)
  • Monitoring data quality and model performance in production
  • Supporting retraining and validation workflows

Cloud & Tooling
  • Experience with a major cloud platform (Databrick, AWS)
  • Familiarity with workflow orchestration tools (Databricks Workflows or similar)

Preferred Qualifications (Nice-to-Have)
  • Experience with propensity modeling, customer segmentation, or marketing analytics
  • Exposure to CI/CD concepts for data and ML pipelines
  • Experience with Docker or containerized deployments
  • Exposure to GenAI, LLMs, or RAG-based systems
  • Master's degree in Computer Science, Statistics, or a related field
  • Seniority Level
    Associate
  • Industry
    • Marketing Services
  • Employment Type
    Full-time
  • Job Functions

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