Naperville, IL

Data Jobs in Naperville, IL

3 jobs found

Include remote jobs

20d ago

Lead Data Scientist

Ecolab Inc. Naperville, IL

Naperville, IL

20d ago

$154k - $231k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

Ecolab Digital is hiring a Lead Data Scientist to build and maintain AI and data products for the Institutional and Specialty segment. The role owns end-to-end AI product development, covering classical machine learning, LLM-based applications, and multi-agent workflows to produce measurable commercial outcomes.

Role Focus

The Lead Data Scientist will identify AI opportunities tied to Institutional and Specialty business challenges, drive experimentation and delivery of digital data science and AI product innovations, and partner with internal stakeholders to translate business strategy and voice of customer into technical plans, build decisions, and lifecycle directions.

Key Responsibilities

Identify and define opportunities aligned to Institutional and Specialty business challenges, navigating a range of problem types and solution approaches.
Drive experimentation and delivery of digital data science and AI product innovations aligned with the digital product vision.
Partner with internal business stakeholders to translate business strategy and VOC into technical opportunities, builds, and lifecycle decisions, communicating clearly across levels.
Architect and build AI solutions end to end across classical ML, LLM-based applications, and multi-agent systems, owning technical design decisions from the data layer through inference, API exposure, and product integration.
Own the production lifecycle of AI agents and models, including QA, monitoring, drift detection, prompt and version management, and retraining pipelines for reliable customer-facing outcomes.
Define and track effectiveness metrics for AI features in partnership with product and commercial teams.
Design evaluation frameworks with responsible AI practices, including champion/challenger pipelines, automated regression testing, guardrails, and audit logging.

Minimum Qualifications

Bachelor’s degree in Data Science, Economics, Math, Statistics, or a related field with an emphasis on analytics, or a master’s degree with 5 years of experience in progressive data roles.
8 years of experience.
5 years of strong Python and SQL.
Expert in writing clean, modular, production-grade code, with version control, unit testing, and code review treated as standard practice.
1 year of shipping production LLM applications, including prompt engineering as a real discipline (structured prompts, output schemas, exclusion rules), RAG over vector indexes, and combining GenAI reasoning with deterministic logic for reliable and auditable outputs.
Hands-on experience building and orchestrating multi-agent systems, including sequential handoffs, tool-calling, and scheduled or DAG-based workflows, with judgment on when to use probabilistic reasoning versus deterministic rules.
Proven experience building and operating evaluation and quality frameworks for GenAI output, including measuring improvements from prompt or model changes, calibrating against subject-matter-expert ground truth, and reducing hallucinations in customer-facing products.
Experience with being a people manager.
Proven ability to balance business needs with technical rigor and communicate approach, assumptions, and tradeoffs to technical and non-technical audiences.
Excellent communication and presentation skills, including translating technical work into business context with structured, concise findings for diverse stakeholders.
Hands-on experience with PySpark and DataFrame APIs on a large-scale distributed platform (Databricks strongly preferred), including experience governing data pipelines that combine operational, regulatory, sensor/IoT, and third-party sources into a coherent data model.
Immigration sponsorship is not available for this position.

Preferred Qualifications

Deep familiarity with the Databricks GenAI stack, including Model Serving, Unity Catalog, Vector Search, MLflow (including prompt registry and champion/challenger evaluation), Lakebase/managed PostgreSQL, and Databricks Asset Bundles.
Experience with MCP (Model Context Protocol) servers and tools, conversational AI assistants, and emerging agent-to-agent (A2A) orchestration patterns.
Experience exposing AI capabilities as production services and APIs and integrating them into customer-facing digital products with attention to latency, reliability, versioning, and authentication.
Proficiency across Microsoft Azure services (App Service, Functions, Key Vault, ADO Pipelines) and PowerBI, with comfort using cloud APIs and CI/CD across multiple environments.
Strong data science foundation applicable to GenAI work, including EDA, statistical reasoning, metrics and evaluation design, sampling, and error analysis.
Working knowledge of DevOps, git, Snowflake, and distributed compute platforms.
Experience in Retail/Quick Service Restaurants businesses.
Well-developed and proven leadership, strategic thinking, and business acumen.
Sharing a public GitHub profile or project portfolio is encouraged.

Location and Schedule

Naperville, IL (hybrid). St. Paul, MN is also an option.
Travel: up to 10% of the time.

Compensation

The base salary range for this position is $153,900.00 - $230,800.00 per year. The role is eligible for annual bonus pay based on performance, per plan terms. Compensation decisions consider factors such as experience, education, training, and geography, and the company complies with minimum wage and overtime laws.

Tools and Technologies

Python, SQL
LLM, RAG, vector indexes
Multi-agent systems, PySpark, DataFrame APIs
Databricks (including Databricks GenAI stack), Model Serving
Unity Catalog, Vector Search, MLflow, prompt registry
Champion/challenger evaluation, Lakebase, managed PostgreSQL
Databricks Asset Bundles, MCP (Model Context Protocol)
A2A orchestration patterns
Microsoft Azure, App Service, Functions, Key Vault, ADO Pipelines
PowerBI, CI/CD, DevOps, git
Snowflake, distributed compute platforms, DAG-based workflows
Unity Catalog, Vector Search, Model Serving, MCP (Model Context Protocol)

Additional Notices

Potential customer requirements: for certain customer-facing roles, applicants may need additional background screens and/or drug and alcohol testing for customer credentialing.
ADA accommodation: Ecolab will provide reasonable accommodations with the application process upon request as required by law.

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1mo ago

Data Engineer

KeHE Distributors, LLC Naperville, IL

Naperville, IL

1mo ago Closed

$78k - $115k/yr Full time Analytics Big Data Business Analytics

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

The Data Engineer role at KeHE Distributors, LLC focuses on designing, building, and maintaining software solutions that support business objectives and customer needs. The position works closely with cross-functional product teams to deliver secure, scalable applications using modern technologies and agile development practices.

Responsibilities

Design, develop, and maintain software features and services by writing clean, maintainable, and efficient code that follows established engineering standards and design patterns.
Convert product and business requirements into technical solutions, partnering with product managers, designers, and engineers to ensure alignment with product goals and user needs.
Participate in agile workflows, including backlog refinement, sprint planning, standups, and retrospectives, to keep work clearly defined and prioritized.
Support software quality and reliability through testing best practices, integration into CI/CD pipelines, and maintenance of stable, scalable application components.
Collaborate with cross-functional partners across product, design, QA, and engineering to deliver cohesive, well-integrated product functionality.
Monitor and improve system performance and product usage using logs, analytics, and performance metrics to validate releases and guide post-release enhancements.
Continuously improve engineering practices by learning new technologies, sharing knowledge with peers, and contributing to better development tools and workflows.

Required Qualifications

Strong proficiency in one or more programming languages and frameworks, with the ability to create maintainable code and apply design patterns and engineering best practices.
Ability to understand product goals and user needs and translate them into technical solutions that deliver business value.
Capability to work with product managers, designers, QA, and engineers to deliver high-quality features and address technical or delivery challenges.
Ability to incorporate analytics, logs, and system metrics into development and validation processes to improve product performance and reliability over time.
Ability to quickly learn new technologies, adapt to changing product priorities, and contribute to team knowledge sharing and engineering improvements.

Education and Experience

At least 3 years of professional experience with data engineering tools and cloud platforms (including SQL, Python, Spark, and AWS/Azure/GCP).
Strong understanding of data modeling, architecture, and governance best practices.
Experience with analytics, BI, and visualization tools such as Power BI and Tableau.
Familiarity with ML/AI engineering, MLOps, and model deployment practices.
Expertise in data integration, API design, and event-driven architectures.
Product mindset with ability to prioritize by value, outcomes, and customer impact.
Excellent communication and collaboration across technical and business teams.
Bachelor’s degree in computer science, software engineering, or a related field preferred, or equivalent coding education alternatives to traditional four-year degrees.

Technologies

SQL
Python
Spark
AWS
Azure
GCP
Power BI
Tableau

Compensation and Location

Location: Naperville, IL (onsite)

Salary Range: USD 78,210 - 114,648 per year

Benefits

Health/Rx
Dental
Vision
Flexible and health spending accounts (FSA/HSA)
Supplemental life insurance
401(k)
Paid time off
Paid sick time
Short term & long term disability coverage (STD/LTD)
Employee stock ownership (ESOP)
Holiday pay for company designated holidays

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1mo ago

AI Engineer

PTMA Financial Solutions Naperville, IL

Naperville, IL

1mo ago Closed

$120k - $145k/yr Full time Ai Engineer Artificial Intelligence Data Analytics

This position is no longer accepting applications (closed Sep 27, 2026).

Job Description

PTMA Financial Solutions is building practical, enterprise-grade AI for a U.S.-regulated financial services environment. As a midlevel individual contributor on the Data & AI team, you will help develop and refine PTMA’s daily AI usage and automations, working hands-on in PTMA’s enterprise Claude environment and contributing to data and analytics engineering as needed.

Location: Naperville, IL (hybrid). Experience: 2+ years. Compensation: USD 120,000 to 145,000 per year.

What you’ll do

Develop and refine PTMA’s enterprise Claude deployment, including prompt design, custom skills, and configuration under the direction of senior team members.
Build and maintain AI-powered automations across business units such as Finance, Compliance, Sales, and Operations, partnering with team leads to map manual processes and deliver measurable time savings.
Partner with internal departments to develop and refine AI skills, plugins, and integrations that connect to internal systems, including Salesforce and data pipelines.
Create and maintain integrations and custom tooling, including MCP integrations and API connections, so AI can work with PTMA systems and data.
Support data and analytics engineering work as needed, including dbt models; Microsoft Fabric and Azure Data Factory pipelines; SQL Server and Azure SQL; and Power BI reporting for AI, forecasting, and public finance use cases.
Support responsible AI practices aligned with SEC, FINRA, and NIST CSF requirements, including data handling, output review, and audit-ready documentation. Work with InfoSec and Compliance to keep AI usage safe and governed.
Drive adoption by writing user guides, running training sessions, and explaining what AI can and cannot do to non-technical colleagues.

What you bring

Hands-on experience building with large language models, including prompt engineering and deploying AI-assisted workflows or automations into real use.
Working knowledge of data engineering concepts, including APIs, data pipelines, and structured and unstructured data.
Proficiency in Python (or a comparable language) for AI integration and scripting.
Strong analytical skills and the ability to translate a business need into a practical AI or data solution.
Ability to clearly communicate AI capabilities and limitations to non-technical colleagues.
Comfort working in or supporting a regulated environment, with attention to data privacy and responsible AI practices.
2 to 5 years of professional experience in software, data, or analytics engineering, including hands-on experience building with large data models.

Tools you’ll work with

Claude, Python, dbt, Microsoft Fabric, Azure Data Factory, SQL Server, Azure SQL, Power BI, Salesforce, MCP integrations, API connections

Nice to have

Direct Anthropic Claude experience, including API usage, custom skill creation, and MCP server integration.
Claude Certified Associate - Foundations (CCAO-F) or Claude Certified Architect - Foundations (CCAR-F) certification through the Anthropic Claude Certification Program.
Experience with Microsoft Fabric, Azure, SQL Server or Azure SQL, and Power BI.
Experience with Salesforce and AI use cases in CRM ecosystems.
Experience in or supporting U.S.-regulated financial services, treasury management, or public-sector technology.
Familiarity with Azure cloud services in data and AI-adjacent workloads.
Exposure to SOC 2, NIST CSF, or FINRA and SEC regulatory technology requirements.
Interest in contributing to internal AI governance practices and centers of excellence.

Benefits

Medical, dental, and vision insurance
401(k) with employer match
HSA and FSA options
Life, AD&D, and disability insurance
Employee Assistance Program
Paid time off
Additional wellness and protection programs

How success is measured

Within 90 days: learn PTMA’s current Claude deployment and active use cases, document what you’ve learned, and ship at least one new automation or improvement with team support.
Within 12 months: become a reliable, hands-on contributor to PTMA’s AI capability, integrate Claude into several operational workflows, and support internal teams as a go-to partner for building and refining AI skills and integrations.

Schedule and logistics

Hybrid schedule: Tuesday, Wednesday, and Thursday are mandatory in-office days. Monday and Friday are remote.
Occasional in-office presence on Mondays, Fridays, or weekends may be required depending on active projects or business needs. Other working arrangements may be negotiated with exceptional candidates.
Work location options: hybrid from the Denver, CO office or Naperville, IL office.
Application timeline: applications accepted on an ongoing basis.
Physical requirements: must be able to work at a computer for long periods of time; lift up to 15 lbs.

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Data Jobs in Naperville, IL

Lead Data Scientist

Data Engineer

AI Engineer

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