Schaumburg, IL

Data Jobs in Schaumburg, IL

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In-House Creative Agency Marketing Data Analyst

Citi Schaumburg, IL

Schaumburg, IL

Today

$115k - $172k/yr Full time Marketing Analytics Business Analytics

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Job Description

Citi’s US in-house creative agency is seeking a marketing data analyst to translate performance results and market signals into stronger creative work.

Responsibilities

Monitor and forecast market trends to inform marketing creatives
Partner with internal clients to gather performance results for in-house agency deliverables and report findings
Collect competitor work samples, identify key takeaways, and share insights with the team
Design and roll out a data collection and analysis system, including baseline development
Identify customer insights from performance result analysis to guide copy and design decisions and improve engagement
Lead lunch and learns with the in-house team and marketing partners on marketing best practices
Deliver concise, comprehensive presentations of key learnings to senior-level audiences
Apply strategic thinking to connect business needs to recommended execution through creative deliverables
Distill information from multiple sources and synthesize it into a single, clear narrative
Work with internal clients to understand strategy behind key messaging
Manage time effectively across multiple active campaigns while maintaining high-quality output

Requirements

Bachelor’s degree in Business, Marketing, Mass Communication/Advertising, or related field; Master’s degree preferred
8–10 years of related experience (digital agency environment preferred)
Exceptional reporting and presentation skills
Excellent written and verbal communication skills
Expert proficiency in MS Office applications, especially Excel, Word, and PowerPoint
Experience using Tableau
Knowledge of SQL, Python, and/or R is a plus
Strong ability to report data and metrics comprehensively using analytical apps and dashboards for clear visualization and insights
Ability to extract customer insights from creative performance data to inform strategy
Experience presenting to senior leaders
Expertise in analyzing market trends and performance data to strengthen campaigns
Ability to collaborate with key business stakeholders, understand central strategy, and help execute effectively as part of a team
Analytical thinking with the ability to make complex data clear
Independent, self-starting, and strongly organized
Eagerness to operate in a fast-paced environment with strong deadline urgency
Tech savvy and able to adapt quickly to new technology and assist team troubleshooting
Financial services experience is a plus

Technologies

MS Office (Excel, Word, PowerPoint)
Tableau
SQL
Python
R

Compensation

Annual salary range: USD 114,720 - 172,080
Primary location full-time salary range: $114,720.00 - $172,080.00

Location & Work Details

Onsite: Schaumburg, IL, United States
Time type: Full time
Job family group: Marketing
Job family: Communication & Creative Services

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

Application Timeline

Anticipated posting close date: Oct 10, 2026

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1mo ago

Senior Data Scientist

Motorola Solutions Schaumburg, IL

Schaumburg, IL

1mo ago Closed

$120k - $140k/yr Full time Senior Advanced Analytics Analytics

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

Motorola Solutions is hiring a Senior Data Scientist for the Design and Tools (D&T) organization, focused on leading Artificial Intelligence & Analytics initiatives and deploying predictive/prescriptive ML models into enterprise platforms.

Responsibilities

Lead and direct the Artificial Intelligence & Analytics stream within the D&T ecosystem to maximize team outcomes
Act as the primary technical subject matter expert to guide internal data strategies across the organization
Translate complex partner requirements into augmented experiences that improve end-to-end user workflows
Design, build, and deploy advanced analytical and statistical machine learning models that support business decisions
Create custom predictive and prescriptive machine learning models for preventative system health checks
Build automated root cause analysis tools and system log analytics to surface critical insights
Enable high-performing automation solutions across core CMO software technologies
Embed intelligent data models into Salesforce and ServiceNow using platform-integrated logic
Collaborate across technical lines to integrate distinct data layers into a single active operational fabric

Requirements

Machine Learning & Statistical Modeling experience designing predictive infrastructure and deploying statistical algorithms
Data Mining & Analytics experience processing large-scale datasets and extracting operational insights
Salesforce & ServiceNow development experience embedding automated logic and workflows in standard corporate tools
Python / R experience writing clean, scalable data science code and maintaining custom software modules
System Log Analytics experience monitoring system health metrics and interpreting log data patterns
Solution translation experience converting stakeholder requirements into production-ready software deployments
Project orchestration experience independently managing analytics efforts from data gathering through final model deployment
Technical communications experience explaining complex technical concepts clearly to non-technical and executive partners
Familiarity with building agentic or delegate workflows within cloud enterprise architecture
Experience designing cognitive shortcuts or system checks that reduce operational friction for global technical teams

Technologies

Artificial Intelligence & Analytics
Machine Learning
Statistical Modeling
Predictive infrastructure
Statistical algorithms
Data Mining & Analytics
Salesforce
ServiceNow
Python
R
System Log Analytics
Machine learning models

Basic Qualifications

Bachelor's degree in Data Science, Computer Science, or an IT related field
4+ years of experience in data analytics, data mining, or machine learning
Legal authorization to work in the U.S. indefinitely required; employer work permit sponsorship is not available

Compensation & Logistics

Target base salary range: $120,000 - $140,000 per year
Location: Schaumburg, IL (hybrid)
Travel requirements: Under 10%
Relocation provided: None
Position type: Experienced

Benefits

Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave

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2mo ago

Agentic AI/AI Engineer - Generative AI & Machine Learning

Hudson Manpower Schaumburg, IL

Schaumburg, IL

2mo ago Closed

$40 - $50/hr Full time Agentic Ai Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Hudson Manpower is seeking a motivated AI Engineer with a strong focus on Generative AI and traditional machine learning to migrate and enhance AI-driven initiatives in a fast-paced setting in Schaumburg, IL. This onsite role centers on leveraging Large Language Models to build intelligent features and agents, collaborating with stakeholders to translate business needs into practical AI solutions. The position offers an hourly rate of $40-$50 and requires a bachelor’s degree along with 2+ years of relevant experience.

Responsibilities

Develop, maintain, and enhance applications that use Generative AI and traditional ML.
Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
Design, create, and deploy intelligent agents to automate and optimize processes.
Collaborate with stakeholders to translate business requirements into technical specifications for AI projects.
Conduct experiments, implement new technologies, and contribute to the rapid evolution of AI capabilities.
Lead the migration of existing projects, including those with agents and LLMs, to Google Cloud Platform (GCP).
Engage in full-stack development, focusing on Python for backend services and React for frontend interfaces.
Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Minimum 2-3 years of professional AI or ML engineering experience. Proficiency in Python is required.
Experience with MCP, RAG, semantic search, Generative AI, LLMs, and building agent-based systems.
Ability to stay current with new AI technologies (for example, Agentic RAG).
Strong Python for backend development and machine learning; solid React for frontend.
Expertise in SQL and experience with MS SQL Server and MySQL.
Hands-on experience with Google Cloud Platform (GCP) AI/ML services, including BigQuery and Google SQL, and other GCP tools/apis.
Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
Experience taking over existing AI/ML applications from other teams.
Ability to estimate high-level GCP usage costs for hosted/deployed applications.
Familiarity with functional and non-functional testing of AI/ML applications and deploying them in production.

Technologies

Python
React
SQL
MS SQL Server
MySQL
Google Cloud Platform (GCP)
BigQuery
Google SQL
Amazon Web Services (AWS)
Large Language Models (LLMs)

Other Qualifications

Familiarity with AWS and industry-trending LLM models.
A portfolio of projects demonstrating expertise in AI and full-stack development.

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Data Jobs in Schaumburg, IL

In-House Creative Agency Marketing Data Analyst

Senior Data Scientist

Agentic AI/AI Engineer - Generative AI & Machine Learning

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