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Data scientist jobs in Champaign, IL
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Senior Data Scientist (Senior Consultant)
Guidehouse
Data scientist job in Chicago, IL
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity. Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis. Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights. Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders. Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making. Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations. Skilled in SQL, R, and other languages to assist in database querying and statistical programming. Strong foundational knowledge and experience in statistics, probability, and experimental design. Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker). Experience applying data governance concepts and techniques to assure greater data quality and reliability. he curiosity and creativity to uncover hidden patterns and opportunities. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Hands-on experience with Python, SQL, and modern ML frameworks. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Expertise in Python or Java for data processing. Demonstrated work experience within the public sector. Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.$113k-188k yearly Auto-Apply 1d agoData Scientist
Tag-The Aspen Group
Data scientist job in Chicago, IL
The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $115,000 - $130,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************$115k-130k yearly 5d agoData Scientist
Insight Global
Data scientist job in Indianapolis, IN
We are seeking a Junior Data Scientist to join our large Utility client in downtown Indianapolis. This position will be hired as a Full-Time employee. This entry-level position is perfect for individuals eager to tackle real-world energy challenges through data exploration, predictive modeling, and collaborative problem-solving. As part of our team, you'll work closely with seasoned data scientists, analysts, architects, engineers, and governance specialists to generate insights that power smarter decisions and help shape the future of energy. Key Responsibilities Partner cross-functionally with data scientists, data architects and engineers, machine learning engineers, data analysts, and data governance experts to deliver integrated data solutions. Collaborate with business stakeholders and analysts to define clear project requirements. Collect, clean, and preprocess both structured and unstructured data from utility systems (e.g., meter data, customer data). Conduct exploratory data analysis to uncover trends, anomalies, and opportunities to enhance grid operations and customer service. Apply traditional machine learning techniques and generative AI tools to build predictive models that address utility-focused challenges, particularly in the customer domain (e.g., outage restoration, program adoption, revenue assurance). Present insights to internal stakeholders in a clear, compelling format, including data visualizations that drive predictive decision-making. Document methodologies, workflows, and results to ensure transparency and reproducibility. Serve as a champion of data and AI across all levels of the client's US Utilities organization. Stay informed on emerging industry trends in utility analytics and machine learning. Requirements Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. 1-3 years of experience in a data science or analytics role. Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn. Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc. Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows. Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc. Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred. Experience with cloud computing platforms (GCP preferred). Ability to manage multiple priorities in a fast-paced environment. Interest in learning more about the customer-facing side of the utility industry. Compensation: Up to $130,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.$130k yearly 5d agoData Scientist
Talent
Data scientist job in Chicago, IL
This role supports a financial services organization by applying advanced data science and machine learning techniques to solve complex business problems using large-scale datasets. The position focuses on end-to-end feature engineering, model development, and writing production-quality code in a fast-paced, collaborative environment. The individual partners closely with product and engineering teams to uncover trends, improve algorithm performance, and drive data-informed decisions. Key Responsibilities Independently analyze and aggregate large, complex datasets to identify anomalies that affect model and algorithm performance Own the full lifecycle of feature engineering, including ideation, development, validation, and selection Develop and maintain production-quality code in a fast-paced, agile environment Solve challenging analytical problems using extremely large (terabyte-scale) datasets Evaluate and apply a range of machine learning techniques to determine the most effective approach for business use cases Collaborate closely with product and engineering partners to identify trends, opportunities, and data-driven solutions Communicate insights, results, and model performance clearly through visualizations and explanations tailored to non-technical stakeholders Adhere to established standards and practices to ensure the security, integrity, and confidentiality of systems and data Minimum Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, Operations Research, or a related field At least 4 years of professional experience in data science, analytics, engineering, or a closely related discipline Hands-on experience building data science pipelines and workflows using Python, R, or similar programming languages Strong SQL skills, including query development and performance tuning Experience working with large-scale, high-volume datasets (terabyte-scale) Practical experience applying a variety of machine learning methods and understanding the parameters that impact model performance Familiarity with common machine learning libraries (e.g., scikit-learn, Spark ML, or similar) Experience with data visualization tools and techniques Ability to write clean, maintainable, and production-ready code Strong interest in rapid prototyping, experimentation, and proof-of-concept development Proven ability to communicate complex analytical findings to non-technical audiences Ability to meet standard employment screening requirements$71k-100k yearly est. 4d agoData Scientist
Alined Consulting Group
Data scientist job in Chicago, IL
Minimum Qualifications: โ 5+ years of experience leading data science projects that have a direct impact on a company's objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science with 3+ years of experience โ 5+ years of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks , LLMs, GenAI tools, and NLP techniques. โ Deep expertise in statistical methods and machine learning concepts, with the ability to mentor team members on methodologies, model tuning, and evaluation techniques. โ 2+ years hands-on experience with deep learning frameworks, LLMs, GenAI tools, and NLP techniques. โ 5+ years of experience using Python to process large, diverse datasets, and develop and deploy predictive models in cloud-based environments and other computing platforms. โ 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.). โ Demonstrated ability to assist business decision-making through data mining and machine learning. โ Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions. โ Ability to translate complex business problems into actionable project plans and solve$70k-97k yearly est. 5d agoData Architect
Geowealth
Data scientist job in Oak Brook, IL
GeoWealth is a Chicago-based fintech firm that offers an award-winning digital advisory platform, including Turnkey Asset Management Platform (โTAMPโ) capabilities. We deliver a comprehensive and fully integrated wealth management technology platform to professionals in the financial services industry. OPPORTUNITY: We're looking for a Data Architect to join our Engineering Team. In this role, you will oversee the overall data architecture, helping us deliver our best-in-class solutions to our customers. This role will be key in organizing, designing, and leading our team through well-designed data architecture. If you love architecting complex systems, delivering customer focused software, designing best-in-class systems and leading data architecture design this role is for you. RESPONSIBILITIES: Own data architecture and oversee data implementation Set coding/implementation standards Lead our data warehouse design Deliver performant, maintainable, and quality software in collaboration with our teams. Improve our database design to reduce replication and increase performance Partner with other architects and engineers to produce better designed systems SKILLS, KNOWLEDGE, AND EXPERIENCE: 5+ years of experience as Data Architect or equivalent role Bachelor's degree in computer science or equivalent degree Hands-on experience with Oracle Designed and implemented data warehouse Experience with the following is preferred but not required: designing and building monolithic and distributed systems, Postgres, Logi Symphony, PowerBI, Java and JIRA/Confluence COMPANY CULTURE & PERKS - HIGHLIGHTS: Investing in Your Growth ๐ฑ Casual work environment with fun, hard-working, and open-minded coworkers Competitive salary with opportunity for performance-based annual bonus Opportunities to up-skill, explore new responsibilities, and network across departments Defined and undefined career pathways allowing you to grow your own way Work/Life Balance ๐๏ธ Flexible PTO and work schedule to ensure our team balances work and life Hybrid work schedule Maternity and paternity leave Taking Care of Your Future โฅ๏ธ Medical, Dental, and Vision, Disability insurance Free access to Spring Health, a comprehensive mental health solution 401(k) with company match and a broad selection of investments Voluntary insurance: short-term disability, long-term disability, and life insurance FSA and transit benefits for employees that contribute pre-tax dollars Other Fun Stuff โญ Free on-site gym and parking Weekly catered lunches in the office, plus monthly happy hours Stocked kitchen with snacks and drinks GeoWealth was recognized as โBest Place to Workโ by Purpose Job's 2025, 2024 and 2022 GeoWealth was recognized as โBest Place to Workโ by Built In in 2024, 2023 and 2022 SALARY RANGE: Starting at $170,000-$220,000 + Benefits + Opportunity for Performance Bonus This is an estimated range based on the circumstances at the time of posting, however, may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand.$170k-220k yearly 4d agoAI Data Strategy Internship
Catholic Extension Society
Data scientist job in Chicago, IL
Chicago Based, no relocation support; We are looking to fill this role ASAP *This role is intended to be converted to a full-time position for the right candidate. *No ChatGPT during interview The AI Data Strategy Intern will play a key role in advancing data-driven decision-making processes while contributing to the development of AI models and supporting and enhancing the organization's AI environment. Reporting to the Director of Data Strategy, the intern will work with diverse datasets, explore their sources, and utilize the Datawarehouse for data extraction, transformation, and analysis. This role offers an excellent opportunity to gain hands-on experience in AI and data analytics while supporting the mission to strengthen faith communities and make a meaningful impact. Essential Functions & Job Performance Criteria Analyze donor data to uncover insights and patterns. Utilize SQL to cleanse, transform, and extract donor information. Assist in developing and maintaining fundraising performance reports using Power BI. Contribute to the development, maintenance, and optimization of AI models to support predictive fundraising outcomes and other organizational initiatives. Support and enhance the organization's AI environment, ensuring its effective use in analytics and decision-making. Perform data management tasks such as deduplication, migration, and addressing data integrity issues. Adhere to security standards and protocols in handling donor information. Troubleshoot and resolve data-related challenges effectively. Identify opportunities for process enhancement and efficiency within fundraising operations. Assist with other duties as needed to support fundraising and AI-related initiatives. Qualifications Pursuing or holding a bachelor's degree in Data Science, Computer Science, or Engineering Proficiency in data structures and SQL, with strong data manipulation skills. Familiarity with data analytics concepts and AI/ML fundamentals. Interest in AI development and its applications. Strong problem-solving skills with a technical mindset. Ability to communicate analysis results to both technical and non-technical audiences. Demonstrates a growth mindset and a positive attitude. Interest in working with data for performance measurement, decision-making, and AI applications. Ability to collaborate effectively in a team-oriented, fast-paced environment at our downtown Chicago location. Strong organizational and prioritization skills. Capacity to work independently while maintaining open communication. Self-motivated with excellent organizational abilities. Demonstrates personal integrity, credibility, and a dedication to the organization's mission. Appreciation for and understanding of the teachings and traditions of the Roman Catholic Church. A passion for your field and a sense of humor. Full time position but part time optional if need be (students only)$42k-68k yearly est. 3d agoData Engineer
Scaylor
Data scientist job in Chicago, IL
Scaylor helps mid-market and enterprise companies make sense of their data. Most teams past $20M ARR are stuck with fragmented systems, old databases, and hundreds of spreadsheets that never quite line up. We build the pipelines that clean, normalize, and connect that data so it can actually be used. Our platform handles everything from parsing financial models and reports to mapping tables across legacy databases and modern APIs. The goal is simple: give companies a single source of truth they can trust. We're a small team of four - one backend engineer, one frontend engineer, and 2 founders. We're looking for our fifth teammate to help us scale the engine behind it all. โธป The Role You'll work across data engineering and full-stack development, helping us build reliable data infrastructure that powers real workflows. You'll touch everything from ingestion and transformation pipelines to the APIs and dashboards that surface insights to clients. You'll work directly with the founding team and help make technical decisions that define the next version of Scaylor's core platform. โธป What You'll Work On โข Build data pipelines that extract, clean, and standardize information from Excel files, PDFs, APIs, and legacy databases โข Design schemas and transformation logic for structured and semi-structured data โข Develop and maintain backend APIs (Python/FastAPI or Node/Express) for data access and analytics โข Help connect backend services to our frontend dashboards (React, Node.js, or similar) โข Set up and maintain AWS infrastructure (Lambda, S3, ECS, CloudFormation) โข Collaborate with clients to understand their data problems and design workflows that fix them โธป You'd Be Great Here If You โข Have 3-6 years of experience in data engineering, backend, or full-stack roles โข Write clean, maintainable code in Python + JS โข Understand ETL, data normalization, and schema mapping โข Have experience with SQL and working with legacy databases or systems โข Are comfortable managing cloud services and debugging data pipelines โข Enjoy solving messy data problems and care about building things that last โธป Nice to Have โข Familiarity with GCP or SQL databases โข Understanding of enterprise data flows (ERP, CRM, or financial systems) โข Experience building and deploying containers (Docker, GitHub Actions, CI/CD) โข Interest in lightweight ML or LLM-assisted data transformation โธป Why Join Scaylor โข Be one of the first five team members shaping the product and the company โข Work directly with the founder and help define Scaylor's technical direction โข Build infrastructure that solves real problems for real companies โข Earn meaningful equity and have a say in how the company grows โธป Compensation โข $130k - $150k with a raise based on set revenue triggers โข .4% equity โข Relocation to Chicago, IL required$130k-150k yearly 4d agoData Analyst
Evolve Esolutions LLC
Data scientist job in Lake Zurich, IL
Senior Data Analyst on W2 Duration: 3 months (may extend/convert) We are seeking a Senior Data Analyst to ensure the accuracy, consistency, and integrity of master data across SAP and other platforms for our medical device and pharmaceutical business. This role involves data governance, process optimization, and cross-functional collaboration to drive operational efficiencies and implement best practices. Key Responsibilities: Manage day-to-day activities of the Customer Master Data team. Support data governance, ensure data quality, and optimize processes. Assist in pricing, licensing updates, rebates, and regulatory compliance. Serve as SME for new system integrations and enhancements. Participate in process improvement initiatives and special projects. Requirements: Bachelor's degree + 5+ yrs experience (3+ yrs in pharma/medical device). SAP experience, strong analytical and problem-solving skills. Expert in Excel and handling large datasets. Strong communication, collaboration, and leadership skills. Ability to work independently in a fast-paced environment. Interview Process: 1st round: Sr. Manager & Sr. Director (Virtual) 2nd round: Team Lead (Virtual)$61k-87k yearly est. 4d agoSenior Data Engineer
Brooksource
Data scientist job in Indianapolis, IN
Senior Data Engineer - Azure Data Warehouse (5-7+ Years Experience) Long term renewing contract Azure-based data warehouse and dashboarding initiatives. Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities ยท Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server ยท Apply Medallion architecture principles and best practices for data lake and warehouse design ยท Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions ยท Develop and maintain CI/CD pipelines for data workflows and dashboard deployments ยท Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments ยท Mentor junior team members and promote best practices in data modeling, cleansing, and promotion ยท Support dashboarding initiatives with Power BI and wireframe collaboration ยท Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience ยท 5-7+ years in data engineering, data warehouse design, and ETL development ยท Strong expertise in Azure Data Factory, Data Bricks, and Python ยท Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards ยท Proven experience with Medallion architecture and data Lakehouse best practices ยท Hands-on with CI/CD, DevOps, and deployment automation ยท Agile mindset with ability to manage multiple priorities and deliver on time ยท Excellent communication and documentation skills Bonus Skills ยท Experience with GCP or AWS ยท Familiarity with Jira, Confluence, and AppDynamics$77k-104k yearly est. 3d agoSr. Data Engineer - PERM - MUST BE LOCAL
Resource 1, Inc.
Data scientist job in Naperville, IL
Resource 1 is in need of a Sr. Data Engineer for a full-time/ permanent position with our client in Naperville, IL. Candidate must be local to Illinois because of future hybrid onsite in Naperville expected. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus. This position is focused on building modern data pipelines, integrations and back-end data solutions. Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products. Responsibilities: Design and develop scalable data pipelines for ingestion, transformation and integration using AWS services. Pull data from PostgreSQL and SQL Server to migrate to AWS. Create and modify jobs in AWS and modify logic in SQL Server. Create SQL queries, stored procedures and functions in PostgreSQL and RedShift. Provide input on data modeling and schema design as needed. Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS. Support inbound/ outbound data flows, including APIs, S3 replication and secured data. Assist with data visualization/ reporting as needed. Follow an Agile development methodology, with regular workshops and standup meetings, working in two-week sprints. Qualifications: 5+ years of data engineering experience. Experience with AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Lambda, Spectrum). Strong experience with SQL, Python and PySpark. A background in supply chain, logistics or distribution would be a plus. Experience with Power BI is a plus.$75k-100k yearly est. 4d agoData Analyst - Statistician
The Judge Group
Data scientist job in Chicago, IL
We're looking for a data-driven professional to join our team as a Data Analyst - Statistician, responsible for turning complex data into actionable insights that drive business decisions. In this role, you'll evaluate usage, adoption, and efficacy systems, uncover data mining opportunities, and integrate findings with traditional KPIs. You'll also support analytical projects, guide data formatting and availability, and deliver impactful reports, scorecards, and dashboards. What You'll Do: Analyze and interpret large datasets to identify trends and opportunities. Evaluate system performance and effectiveness, integrating insights with KPIs. Provide analytical support for cross-functional projects. Design and share reports, dashboards, and scorecards to inform stakeholders. Collaborate with teams to ensure data accessibility and quality. Perform additional duties as assigned by your manager. Core Competencies: Data Analysis & Interpretation: Ability to transform complex data into actionable insights. Excel Expertise: Advanced skills in pivot tables, VLOOKUP, Power Query, and data visualization. Tableau: Skilled in creating interactive dashboards and optimizing performance. Snowflake: Hands-on experience with data warehousing and efficient SQL queries. SQL Proficiency: Strong ability to write and optimize queries for data extraction and analysis. Business Acumen: Align data strategies with organizational goals. Collaboration & Communication: Work effectively with product owners, engineers, and stakeholders.$63k-84k yearly est. 1d agoData Architect
Mastek
Data scientist job in Chicago, IL
Job Title: Architect / Senior Data Engineer We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and dbt, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices. Key Responsibilities Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and dbt. Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs. Lead the modernization and migration of legacy data systems to cloud-native architectures. Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions. Optimize Snowflake performance through query tuning, warehouse sizing, and cost management. Establish and maintain data governance, security, and compliance standards across the data platform. Mentor and guide junior data engineers, providing technical leadership and direction. Required Skills & Qualifications 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment. Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM. Strong experience with Snowflake - data modeling, warehouse design, performance optimization, and cost governance. Proven experience with dbt (data build tool) - model development, documentation, and deployment automation. Proficient in SQL, Python, and ETL/ELT pipeline development. Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.). Familiarity with data governance and security best practices, including role-based access control and data masking. Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles. Preferred Qualifications AWS Certification (e.g., AWS Certified Data Analytics - Specialty, Solutions Architect). Strong communication and collaboration skills, with a track record of working in agile environments.$83k-113k yearly est. 1d agoData Architect - Pharma
Mathco
Data scientist job in Chicago, IL
MathCo Role - Data/AI Engineering Manager Onsite - Chicago - 4 days in office (Mandatory) Industry - Pharma (Mandatory) As platform architect/owner, you will: Lead the end-to-end architecture, lifecycle, and governance of the AI/Analytics platform, defining standards, reusable components, and integration patterns. Partner with AI/Data architects to enable scalable model deployment and enhance agentic orchestration. Translate business needs into platform features, manage onboarding, documentation, and cross-functional collaboration for platform adoption. Oversee infrastructure-as-code, CI/CD, observability, and containerized environments to ensure reliability and scalability. Evaluate complex technical proposals and develop actionable platform roadmaps and architecture recommendations Stay current on key AI platform developments and assess their impact on architecture and client strategy Coach others, recognize their strengths, and encourage them to take ownership of their personal development Skills Required Experience in designing, architecting, or managing distributed data and AI platforms in cloud environments (AWS, Azure, or GCP) Proven ability to carry out complex Proof of Concept (POC), pilot projects, and limited production rollouts for AI use-cases, focusing on developing new or improved techniques and procedures. Strong skills in pipeline/workflow optimization and data processing frameworks to evaluate architectural choices Years of Experience Minimum of 8 years in relevant experience, preferably with a consulting background and experience with Pharma clients$83k-113k yearly est. 1d agoCloud Data Architect
Centraprise
Data scientist job in Chicago, IL
Must Have Technical/Functional Skills ยท Cloud Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. ยท build decisions, and early-phase project estimates which contribute to the business case. ยท Partner with Key Roles (Business and Technology) to shape the Cloud Data & Analytics strategy, provide hands on guidance to convert the strategy to architecture/Solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits) and actionable plan. ยท Furthermore, shape large Data and Analytics opportunities for TCS. Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, Social are essential. ยท Must Have skills : Cloud Data Architect, Snowflake, demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue), Snowflake, Cortex AI, Five Tran, DBT. ยท On Data front Hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault) Roles & Responsibilities ยท Strong experience in Cloud Data Architecture and Roadmap and effectively engaging various client Stakeholders on the architecture proposition. ยท Strong experience in Solution Architecture (Data & Analytics) ยท Must have prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Must demonstrate knowledge of data architecture patterns ยท Strong cloud architecture expertise (Azure, AWS, GCP) across large project with minimum 2-3 years experience in doing cloud projects ยท Strong solution implementation experience (platform engineering, developer experience) ยท Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, dimensional data modelling and a variety of data models including data vault ยท Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake and Cortex AI, FiveTran, dbt, Data Virtualization tools ยท Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects ยท Lead transformation effort for Large opportunities i.e. build strategy and multi-year Transformation roadmap for our customers ยท Strong ability and experience in engaging with both technical and non-technical stakeholders ยท Strong teaming, communications and analytical skills ยท Dedicated, resourceful and able to work under pressure ยท As part of Presales support, should be able to shape large multi-million value Deals both proactive and reactive by driving TCS positioning with customers and build business for TCS ยท Develop Point of views, solution approaches & pitches for new opportunities ยท Define Data and Technology Architecture and patterns on-prem/hybrid/Cloud using native and other partners/tools with recommendations that suits customer's context and objectives ยท On Data front strong in Data Governance, MDM and Data Modeling ยท Drive and Participate in Architecture reviews both internal and client teams ยท Oversee data management, warehousing, integration, data movement, and delivery across assigned data initiatives. ยท Examine data, processes, and technologies to determine the current state and critical problems of Customer's data and analytics journey ยท Research and make recommendations for training, equipment, and technology to improve data use ยท Build connect with Client's Senior Leadership CXOs/D&A Heads and work with them to develop clear Data and Analytics Strategy and Architecture that supports their business goals and objectives.$83k-113k yearly est. 2d agoData Architect
Krasan Consulting Services
Data scientist job in Springfield, IL
Krasan Consulting Services is a Chicago boutique management consulting and technology solutions integrator. As a certified BEP WBE with the State of Illinois and a certified WBE, MBE, and DBE recognized by the City of Chicago, Krasan provides complex technology solutions and services for clients in the Public and Commercial sectors. With decades of experience, Krasan specializes in end-to-end technology solutions, integration, and implementation services and is proud to enable the success of our customers. Role Title: Data Architect Location - Remote - Springfield, IL Job Description: Determine where the data resides. Create an architectural design for migration. Plan the migration path from start to finish. Collaborate with the IEPA during system design. Confirm data security and integrity during migration. Design and integrate the business and technical components of the EIMS, including future enhancements. Confirm the solution meets all IEPA requirements and integrates seamlessly with other environmental information systems. Provide technical leadership and guidance to development teams. Confirm system compliance with relevant regulations Minimum seven (7) years of experience in solution architecture and system integration. Knowledge of environmental information or permitting systems and interoperability. Experience with technical leadership and project management. Knowledge of CROMERR and FedRAMP solution design. Experience serving as Offeror's business architect (or similar role) for at least two (2) full life cycle implementations of the offered solution end-to-end. 2013$82k-111k yearly est. 1d agoSenior Data Engineer
Programmers.Io
Data scientist job in Chicago, IL
requires visa independent candidates. Note: (OPT, CPT, H1B holders will not work at this time) Design, develop, and maintain scalable ETL pipelines using AWSGlue Collaborate with data engineers and analysts to understand data requirements Build and manage data extraction, transformation, and loading processes Optimize and troubleshoot existing Glue jobs and workflows Ensure data quality, integrity, and security throughout the ETL process Integrate AWS Glue with other AWS services like S3, Lambda, Redshift, and Step Functions Maintain documentation of data workflows and processes Stay updated with the latest AWS tools and best practices Required Skills Strong hands-on experience with AWS Glue, PySpark, and Python Proficiency in SQL and working with structured/unstructured data (JSON, CSV, Parquet) Experience with data warehousing concepts and tools Familiarity with CI/CD pipelines, Terraform, and scripting (PowerShell, Bash) Solid understanding of data modeling, data integration, and data management Exposure to AWS Batch, Step Functions, and Data Catalogs$81k-112k yearly est. 2d agoData Engineer
Acuity Analytics
Data scientist job in Chicago, IL
The Data Engineer will design, build, and optimize the data pipelines and models that support the firm's evolving research, analytics, and systematic portfolio construction environment. This role is central to enabling data-driven investment processes, including quantitative research, AI/ML capabilities, and front-office automation. Candidates must have deep expertise with Snowflake, strong SQL skills, and experience integrating diverse datasets used across investment organizations. The role is highly collaborative and requires comfort working in an iterative, fast-moving environment where data needs evolve rapidly based on stakeholder input. Responsibilities Design, build, and enhance ETL/ELT pipelines in Snowflake, ensuring high performance, reliability, and scalability. Integrate internal and external datasets, including pricing, research content, economic releases, market data, and security reference data. Support real-time or near-real-time data flows where needed (e.g., pricing, indicative quotes, market-sensitive inputs). Collaborate closely with Product Leads, Quant Developers, and UI/UX teams to ensure data structures meet the requirements of research workflows, analytical models, and user-facing applications. Partner with front-office stakeholders to rapidly iterate on evolving analytical and data needs. Implement data validation, monitoring, and quality frameworks to ensure accuracy and reliability across critical datasets. Translate prototype pipelines into production-ready workflows with appropriate documentation, standards, and controls. Contribute to data modeling standards, metadata frameworks, and data governance practices across the platform. Requirements 10+ years of data engineering experience within investment management, financial technology, or similar data-intensive environments. Expert-level SQL, including complex queries, schema design, and performance optimization. Deep hands-on experience with Snowflake, including advanced features such as tasks, streams, performance tuning, and secure data sharing. Strong Python capabilities for ETL/ELT development, data processing, and workflow automation. Experience integrating APIs and working with structured, semi-structured, and unstructured datasets. Familiarity with NLP or AI/ML-oriented datasets (e.g., textual research content, PDFs) is a plus. Experience with Domino or willingness to work within a Domino-based model environment. Working knowledge of investment data structures (holdings, benchmarks, pricing, exposures) is highly preferred. Ability to thrive in a rapid prototyping environment with evolving requirements and close partnership with front-office teams.$75k-100k yearly est. 5d agoData Engineer
Creamos Solutions Inc.
Data scientist job in Chicago, IL
Design, develop, and maintain robust ETL/ELT data pipelines Write and optimize complex SQL queries for analytics use cases Work with GCP services such as BigQuery, GCS, and Dataflow Build and manage scalable data solutions using Databricks and Apache Spark Ensure data quality, reliability, and performance Collaborate with data analysts, data scientists, and business stakeholders Troubleshoot and resolve data pipeline and performance issues Required Skills Strong expertise in SQL Hands-on experience with Google Cloud Platform (GCP) Experience with Databricks / Apache Spark Proficiency in Python Experience with data warehousing and data modeling concepts Nice to Have Experience with Airflow or other orchestration tools Exposure to streaming technologies (Kafka, Pub/Sub) Knowledge of CI/CD, Git, and DevOps practices$75k-100k yearly est. 1d agoData Scientist - Operations Research
United Airlines
Data scientist job in Chicago, IL
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. **Description** United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. **Job overview and responsibilities** Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions + Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages + Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles + Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions + Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge + Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups + Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available + Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for) + Anticipates working team questions to data and approach + Identifies solution quality risks and on-time risks + Understands the business value, process, and expectations before focusing on choice of a technical solution + Understands the intuition behind the numbers (i.e. does it make sense?) + Provides on-going analytical services to client organizations + Communicates results to management and clients + Contributes deck content and builds the story for the deck with guidance to summarize findings + Develops and delivers presentations aligned with Ai standards + Speaks in a manner appropriate for working team and their level +1 + Keeps informed about the latest analytical methods and research in the operations research and analytics fields **Qualifications** **What's needed to succeed (Minimum Qualifications):** + Masters in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles + Coursework or work experience with mathematical programming techniques + Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL + Coursework or work experience with C, C++, Java, R, Python, or other structured programming language + Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment + Good interpersonal skills and ability to interact with clients + Proficient with MS Office + Successful completion of interview required to meet job qualifications + Must be legally authorized to work in the United States for any employer without sponsorship + Reliable, punctual attendance is an essential function of the position **What will help you propel from the pack (Preferred Qualifications):** + Minor in computer science and/or formal advanced computer science coursework preferred + 1+ years of professional experience in analytical field + 1+ years designing and programming/coding data structures for large-scale computer models + Experience with Julia programming language + Knowledge of United/industry data sources + Structured programming for large-scale computer models + Demonstrated ability to create business value The base pay range for this role is $91,770.00 to $119,514.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.$91.8k-119.5k yearly 60d+ ago
Learn more about data scientist jobs
How much does a data scientist earn in Champaign, IL?
The average data scientist in Champaign, IL earns between $60,000 and $110,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in Champaign, IL
$81,000
What are the biggest employers of Data Scientists in Champaign, IL?
The biggest employers of Data Scientists in Champaign, IL are:
- University of Illinois at Urbana-Champaign
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