Data scientist jobs in Elgin, IL - 462 jobs

Data Scientist - Product & Analytics Hybrid (US-based) Salary up to $140,000 base + benefits Are you a Data Scientist who wants their work to genuinely matter? We're partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making. In this role, you'll work end-to-end - from building robust data pipelines through to deploying predictive models that drive measurable impact. You'll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions. What you'll be doing Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation Designing scalable data pipelines using modern tooling to turn complex data into actionable insights Running experiments and hypothesis testing to measure product impact and improve outcomes Partnering cross-functionally to solve high-value business and customer problems Ensuring data quality, reliability, and performance through monitoring and validation What we're looking for Commercial experience in Data Science or Applied Analytics (SaaS experience a plus) Strong foundations in statistics and machine learning Hands-on experience with Python and SQL Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.) Someone who enjoys working across teams and seeing their work used in production Why apply? Hybrid working with flexibility Salary up to $140,000 base plus a strong benefits package Work on meaningful, real-world problems at scale High visibility role with genuine influence over product and strategy Collaborative, mission-driven culture with strong technical peers If you're looking for a role where your models don't sit on a shelf - this is worth a conversation.

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: $120,000 - $140,000, 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: *********************************************************************************

We are seeking a data scientist to apply advanced analytics and AI methods on EHR phenotyping data from clinicogenomic data sources such as UK Biobank (UKBB) and Alliance for Genomic Discovery (AGD) datasets, driving discovery through large-scale biobank analyses. The candidate will extract patient cohorts from the EHR data in order for Genome-wide Association Studies (GWAS) and related applications to extract actionable insights from rich biobank data resources. Responsibilities: UKBB, AGD data and other RWD. Data curation and mining using Linux command line. Advanced analytics. Advanced programming skills with writing reusable scripts (R, Python, Spark or SQL). Learn existing automated EHR-phenotyping using large longitudinal UK Biobank and AGD data. Communication and teamwork. Preferred skills: Biostatistics, Genetics, experience with latest AI methodologies. Education and experience: 2-3 years with a PhD degree or 5 years with an MSc degree. Work environment: Individual role within a collaborative team. Other notable details: Advance the state-of-art Phenomics Data Science initiatives using large-scale real-world data. Background successful in the role: Experienced data scientist/data engineers with interest in driving new mathematical solutions and innovation in line with business strategy and rapidly changing data streams. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Shivangi Shivpuri Email: ********************************* Internal Id: 26-01351

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: * Competitive compensation and benefits program with no waiting period - you're eligible from your first day! * 401(k) program with 5% employer match and 100% vesting as soon as you enroll. * Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). * Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. * An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. * Access to our wellness and employee assistance programs. Job Description: About the Role: Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. You'll add value to this role by performing various functions including, but not limited to: * Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. * Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. * Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. * Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. * Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. * Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. * Other duties as assigned. Important Details: * This is a hybrid role on first shift in Oak Brook, IL. * The anticipated compensation for this position ranges from $100,800.00 - 151,200.00 USD annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. You'll fit right in if you have: * Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. * 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. * Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. * Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). * Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. * A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. Your TreeHouse Foods Career is Just a Click Away! Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time". TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com TreeHouse Use Only: #IND1

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): * Advanced degree (PhD or ABD) 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 qualification * 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 * 2+ years of professional experience in analytical field * 1+ years of airline business experience * 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 $117,610.00 to $153,146.00. 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.

Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Lead Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. Job Description Drive Complex Analyses: Independently lead deep-dive analyses to uncover insights and guide strategic decisions without waiting for detailed instructions. Manage Multiple Priorities: Effectively balance and deliver on several projects simultaneously in a fast-paced environment. Act as a Strategic Partner: Represent the Data Science function in cross-functional discussions, influencing decisions and advocating data-driven solutions. Evaluate and Innovate: Quickly assess existing methodologies, identify gaps, and lead the E2E implementation of improved methodologies or alternative approaches. Communicate with Impact: Document findings clearly and present actionable recommendations tailored to diverse audiences, ensuring clarity and alignment. Ensure System Reliability: Detect, troubleshoot, and resolve anomalies across data pipelines and analytical systems to maintain integrity and performance. Educate and Enable: Translate complex concepts into accessible explanations for stakeholders at varying levels of technical expertise. Commit to Growth: Continuously expand technical and leadership skillsets, staying ahead of emerging trends and best practices in data science. Qualifications About You Self-Starter: You thrive in ambiguity and take initiative without waiting for detailed instructions. Ownership Mindset: You take full responsibility for outcomes and drive projects to completion with minimal oversight. Strategic Thinker: You see the big picture while managing details, ensuring solutions align with business objectives. Collaborative Communicator: You can explain complex concepts in simple terms and build strong relationships across functions. You are also willing to help and share your knowledge with others. Adaptable & Resilient: You handle multiple priorities with ease and remain calm under pressure. Continuous Learner: You actively seek opportunities to grow your technical expertise and leadership skills. Experience Bachelor's or Master's Degree with a quantitative discipline. Skills 5-8 Years of professional experience in a quantitative field. Curiosity to learn and continually upgrade skills. Disposition to understand processes and methodologies. Quantitative aptitude. Problem solving skills. Proficiency with Python and SQL. Strong verbal, presentation, and written skills. Strong planning and organizational skills. Ability to work independently as well as in a team environment. Additional Information Additional information This role has a market-competitive salary with an anticipated base compensation of the following range: $80,300.00 - $114,300.00. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more. US Benefits Comprehensive healthcare plan (medical, Rx, dental, and vision). Flexible spending accounts and a Health Savings Account (including company contributions). Life and AD&D insurance. 401(k) retirement plan including company matching contributions. Disability insurance. Tuition Reimbursement. Discretionary paid time off program and 11 paid holidays. Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: ******************************************************* About NIQ NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the ***************************************************************

MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks. Job Description As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment. What you bring to the team: Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy. Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools. Assess the potential usefulness and validity of new ML and DL approaches and data sources. Develop proof-of-concept prototypes to prove out hypotheses. Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus. Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus. Previous software development experience is required, including usage of version control systems such as git and writing tests Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation. Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results. Additional Information Perks/Benefits: Direct access to senior management - our leadership team works alongside our team members every day. Comprehensive medical, dental, and vision insurance. Company paid life insurance, short term disability and long term disability. Flexible paid time off (PTO) policy, plus sick days. Ongoing professional development opportunities by level and function. Your choice of Windows or Mac laptop. Onsite gym. Casual dress in a fun, friendly and collaborative work environment. The ability to have significant impact every day. Location: This position is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.

About the Role: We are seeking a highly skilled Data Scientist to join our team in Chicago, IL. As a Data Scientist, you will be responsible for analyzing complex data sets, developing custom models and algorithms, and creating statistical models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for process optimization and develop innovative solutions to complex problems. Your work will directly impact our business and help us stay ahead of the competition. Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field 3+ years of experience in data analysis and modeling Proficiency in R and Python programming languages Experience with machine learning techniques such as Random Forest, Neural Networks, and Clustering Strong analytical and problem-solving skills Preferred Qualifications: Master's or PhD in Computer Science, Statistics, Mathematics, or related field Experience with deep learning frameworks such as TensorFlow Experience with big data technologies such as Hadoop and Spark Excellent communication and collaboration skills Responsibilities: Analyze large, complex data sets using statistical methods and machine learning techniques Develop custom models and algorithms to solve complex business problems Create statistical models to drive business decisions Collaborate with cross-functional teams to identify opportunities for process optimization Develop innovative solutions to complex problems Skills: As a Data Scientist, you will use your expertise in R and Python programming languages, machine learning techniques such as Random Forest, Neural Networks, and Clustering, and statistical analysis to analyze complex data sets and develop custom models and algorithms. You will collaborate with cross-functional teams to identify opportunities for process optimization and develop innovative solutions to complex problems. Your strong analytical and problem-solving skills will be essential in driving business decisions and staying ahead of the competition.

Bettendorf, Illinois, US Chicago, Illinois, US North Chicago, Illinois, US Rock Island, Illinois, US Moline, Illinois, US Davenport, Iowa, US Business Systems/Analysis 18303 Full-Time $85032.41 - $141720.69 Description & Qualifications** **Position Description & Qualifications** As a Data Scientist, Senior you will play a key role in supporting the Army Sustainment Command (ASC). In this role, you will: - Perform advanced analysis and analytics to produce algorithms and/or business process recommendations. - Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions. - Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows. - Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers. - Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes. - Proactively identify mechanisms to improve mission performance. - Use appropriate quantitative analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation. - Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis,and multinational best practices (military and industry) evaluation. - Use logistics and agent-based modeling and simulation. - Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond. - Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software. - Interface and liaise with software program offices and contractors. - Develop requirements for defense analytics software. - Conduct stakeholder analysis and create products for stakeholder communications and messaging. **POSITION QUALIFICATIONS** To be successful in this role, you will have: + U.S. Citizenship + An Active Secret Clearance or an interim Secret Clearance. + Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. + Minimum 4 years of experience working directly on a data science team. + Superior communication skills, both oral and written. + Experience working with tools, including objectoriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). + Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. + Working knowledge of databases and SQL. + Preferred qualifications include linking analytic and data visualization products to database connections. + Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. + Familiarity with unstructured text and natural language processing, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics. + Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. + Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments. + Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights. + Familiarity with developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions. **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************ . If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits - Comprehensible benefits for full-time employees (part-time employees receive a limited package tailored to their role): + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan To review all Serco benefits please visit: ******************************************* . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: ******************** .

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. What You Will Do: * Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. * Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. * Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What You Will Have: * Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. * Accuracy and Attention to Detail: Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. * Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. * Query and Database Access Tools: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. * Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Considerations for Top Candidates: * Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree * Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. * Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. * Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. * Working experience with heavy equipment engineering and/or condition monitoring. * In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field * Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: January 27, 2026 - February 2, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

At CareAllies, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. The Staff Actuary uses statistics, financial theory, mathematics, and basic financial and actuarial principles to assess the impact of company decisions or situations. They have an in-depth knowledge of at least one market or business segment and operate with a high level of autonomy for daily purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions. This position can communicate complicated concepts, information, and recommendations regarding process, data, analysis, and results, while catering information to different audiences as needed. As necessary, position manages small projects with limited interaction outside Actuarial department. **Required Job Qualifications:** * Bachelor degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered. * Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA). * At least 3 years of actuarial experience. * Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations. * PC proficiency to include Word and Excel. **Preferred Job Qualifications:** * Access, SQL, Visual Basic or other programming skills. * Actuarial experience in the health insurance or related field * Pharmacy or Medicare experience is a plus Please note that this role is **HYBRID** with an in-office requirement of 3 days a week. \#LI-LK1 \#LI-Hybrid \#INJLF **EEO Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Pay Transparency Statement:** At CareAllies, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, a minimum of 15 days' of paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for full-time employees. The salary offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **Min to Max Range:** $82,700.00 - $149,300.00 Exact compensation may vary based on skills, experience, and location.

A leading health solutions company in Chicago seeks an experienced actuarial leader to oversee medical cost assumptions for Individual Medicare Advantage. Responsibilities include collaborating with cross-functional teams for data integrity and ensuring compliance with CMS regulations. Candidates must possess a Bachelor's degree and 5+ years of actuarial experience, along with strong communication skills. A comprehensive benefits package and competitive compensation with a pay range of $118,450 - $260,590 is offered. #J-18808-Ljbffr

A leading health solutions company in Chicago is seeking an experienced actuarial leader responsible for overseeing the development and validation of medical cost assumptions for Medicare Advantage. This position requires a Bachelor's degree and over 5 years of actuarial experience. Ideal candidates should possess strong communication skills and experience with healthcare, SAS, and SQL. The role offers a competitive salary range from $118,450 to $260,590 along with comprehensive benefits including medical plans, a 401(k) plan, and further incentives. #J-18808-Ljbffr

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 statistics, machine learning, forecasting techniques, and structured programming languages * Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles * Leverages understanding of the business process to identify and implement statistics, forecasting and machine learning solutions that will result in significant bottom-line contributions * Builds and develops statistics, forecasting and machine learning 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 statistics, forecasting, machine learning and analytics fields Qualifications What's needed to succeed (Minimum Qualifications): * PhD or ABD in Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods * Coursework or work experience with statistics and/or forecasting techniques * Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab and/or BI tools * 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 qualification * 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 * 2+ years of professional experience in analytical field * 1+ years of airline business experience * 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 $117,610.00 to $153,146.00. 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.

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: Competitive compensation and benefits program with no waiting period - you're eligible from your first day! 401(k) program with 5% employer match and 100% vesting as soon as you enroll. Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. Access to our wellness and employee assistance programs. Job Description: About the Role: Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. You'll add value to this role by performing various functions including, but not limited to: Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. Other duties as assigned. Important Details: This is a hybrid role on first shift in Oak Brook, IL. The anticipated compensation for this position ranges from $100,800.00 - 151,200.00 USD annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. You'll fit right in if you have: Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. Your TreeHouse Foods Career is Just a Click Away! Click on the “Apply” button or go directly to ****************************** to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us “Engage and Delight - One Customer at a Time”. TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com TreeHouse Use Only: #IND1

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 47 states in four distinct categories: Dental care, urgent care, veterinary care, and medical aesthetics. 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, Lovet Animal Hospitals and Chapter Aesthetic Studios. 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 a Senior Data Scientist. This role is responsible for transforming raw data from various sources to develop high quality machine learning and forecasting models informing the growth strategy across our brands and for TAG as a whole. Responsibilities As a Senior Data Scientist, you will be responsible for: Model Development Identify opportunities within the business and proactively partner with business leaders to develop models using advanced ML and AI techniques to unlock stronger, more streamlined business performance Build, validate, and deploy predictive forecasting models to predict demand, revenue, and market trends Design and execute A/B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies Apply statistical and machine learning methods to identify patterns, trends, and insights Understand business objectives and translate them into data-driven solutions Gather, clean, and validate structured and unstructured data from multiple sources Conduct rigorous testing of models, ensuring reasonable results and reporting back to leadership on outcomes Model Ownership Monitor and report on model performance Develop recommendations to improve model accuracy Translate complex analytical findings into clear, actionable insights with recommendations to improve performance Partner with leaders in Product, IT, and Brand leadership to implement tools that leverage the models, changing data outputs into a fully functioning product Maintain well-documented, reproducible code and workflows Continuous Learning & Development Stay current with industry trends, tools, and best practices in data science Proactively suggest new approaches and methodologies to enhance decision-making by leadership Collaborate with cross-functional teams (IT, product, finance, operations) evolve data science approaches to integrate the latest business insights and trends Minimum Education and Experience BA or BS in Data Science, Computer Science, Mathematics, or other degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced Degree is preferred. 4-6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning required including experience leading projects Hands-on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data is required. Experience using data visualization software like Tableau or PowerBI is a plus. Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Proven track record of partnering with executive-level audiences to identify opportunities, build out the framework for potential models, and deliver a recommended approach to the business Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $120,000-$140,000/year, with 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: *********************************************************************************

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._ **Job Summary:** We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. **What You Will Do:** + Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. + Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. + Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. **What You Will Have:** + **Business Statistics:** Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. + **Accuracy and Attention to Detail:** Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. + **Analytical Thinking:** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. + **Programming Languages:** Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. + **Query and Database Access Tools:** Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. + **Requirements Analysis:** Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. **Considerations for Top Candidates:** + Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree + Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. + Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. + Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. + Working experience with heavy equipment engineering and/or condition monitoring. + In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field + Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. **Additional Information:** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. \#LI \#BI (used to post on Built In Chicago) **What You Will Get:** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. **About Caterpillar** Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. **Summary Pay Range:** $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** **Posting Dates:** January 27, 2026 - February 2, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .