ZipRecruiter

Log In

1

Director Data Analyst Machine Learning Jobs in Aurora, IL

Kasmo Global

Machine Learning Engineer

Chicago, IL · On-site

... data infrastructure to enable use of cutting-edge machine learning models for real-time fraud ... rule updates and analytics within the fraud detection platform. • Collaborate across ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

PayPal

Machine Learning Engineer

Chicago, IL

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

Ontrac Solutions LLC

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ... Required Credentials * 2+ years of experience in machine learning engineering, data engineering ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ... Required Credentials * 2+ years of experience in machine learning engineering, data engineering ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

Direct placement support and connections with hiring managers at • top tech clients * With post ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

SynergisticIT

Data Analyst

Carol Stream, IL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL

$70 - $90/hr

The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ... Required Credentials * 2+ years of experience in machine learning engineering, data engineering ...

University of Chicago

Data Analyst

Chicago, IL · On-site

... with direct clinical and public health implications. Responsibilities * Discusses, plans, and ... in machine learning and statistical inference. Performs maintenance on large and complex research ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... analyst , data engineer , data scientist , and machine learning/AI engineer . In other words ... SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics ...

Kasmo Global

Sr. Machine Learning Engineer

Schaumburg, IL · On-site

$103K - $141.40K/yr

Establish scalable, efficient, automated processes for large scale data analysis, model development ... Work with Product Owners to define the KPIs for machine learning projects * Stay abreast of ...

next page

Showing results 1-20

People also search for

All JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Aurora, IL

Director Data Analyst Machine Learning information

See Aurora, IL salary details

$33.7K

$81.9K

$134.8K

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

As of May 28, 2026, the average yearly pay for director data analyst machine learning in Aurora, IL is $81,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 Aurora, IL? For Director Data Analyst Machine Learning jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Aurora, IL look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Director Data Analyst Machine Learning jobs? Cities near Aurora, IL with the most Director Data Analyst Machine Learning job openings:
Director Data Analyst Machine Learning jobs near you
Lead Machine Learning / Data Science Engineer

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Chicago, IL • On-site

$57.50 - $76/hr

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Apply