Senior data scientist jobs in Naperville, IL - 435 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

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.

SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Requirements: Education- Master's or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device development Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and open CV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Domain Knowledge- Experience in medical device development is considered a strong asset. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. (“BWS”), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. Helps to define and communicate governance principles. Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. Trains other business and IT staff on basic data science principles and techniques. Networks with internal and external partners. Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. DUTIES: Provide statistically and methodologically sound analytic solutions to ensure validity regarding hypothesis evaluation, study design/methodology development and findings to drive improvements in clinical, operational, and economic outcomes for member hospitals. Develop computer programs using Python and perform necessary manipulations to import complex external data into Python or export output to other databases/files. Work with technology team and other stakeholders on setting reasonable expectations regarding data formatting and turn-around times. Provide computationally complex analysis using statistical software for leadership team to identify critical issues/questions around clinical performance improvement data. Generate summary tables, data listings, graphs and derived datasets as specified in statistical analysis plan. Generate outputs and reports to support data science and methodological workflows. Conduct statistical inference analysis and testing to validate develop and evaluate data driven hypotheses, accuracy and results. Develop data science solutions and insights across multiple projects, and single or multiple domains, with minimal guidance. Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for multiple projects. Demonstrate skills in statistical design, efficiency, and sophisticated problem solving for multiple projects. Provide guidance to other data scientists in the design of data science insights. Demonstrate expertise in core data assessment steps (e.g., data discovery, structuring, cleaning, enrichment, and validation) and publish insights across multiple data sets. Independently leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions. Make autonomous decisions to operationalize data modeling, exploratory data analysis, inferential statistics machine learning model development, project deployment, and visualization based on specified project goals or design objectives. Demonstrate expertise in relevant core programming tools (e.g., R, Python, SAS, SQL, MATLAB, JAVA). Utilizes expertise with relevant data platforms (e.g., Tableau, Apache Spark, Azure Data Bricks, Hadoop). Execute low to medium complex (e.g., merging data sets from disparate sources, normalizing and standardizing highly irregular or inconsistent data) technical code revisions independently or for select portion of projects. Apply solutions-oriented mindset to project-specific goals and objectives. Make autonomous project-specific decisions supporting data science deliverables within. MINIMUM REQUIREMENTS: This position requires a Master's degree in Applied Data Science or a directly related field of study, plus the following experience: 5 years of experience to include all of the following areas: (1) building SAS/Python based ETL Pipelines and Analytic Reports; (2) reengineering collections and forbearance data architecture to facilitate loss mitigation reporting to leadership team and stakeholders; (3) building scalable applications and data pipelines for data analytics and internal risk assessment teams; (4) performing statistical analysis and data validations on adhoc basis for various business user requirements; (5) building datasets and generating analytic reports for different business process analysis and validations; (6) utilizing SAS Procedures including Proc SQL and Proc Sort for analyzing and reporting data; (7) building new ETL Pipelines and enhancing existing pipelines for customizing and streamlining data from multiple sources using shell scripting, SAS and Python; and (8) Data Analysis and Data Mapping for ETL process using SAS, Python, and shell scripting. Must also have each of the following: (1) 2 years experience in developing computer programs using Python and performing the necessary manipulations to import complex external data into Python or export output to other databases/files; (2) 2 years experience in working with the technology team and other stakeholders on setting reasonable expectations regarding data formatting and turn-around times; (3) 2 years experience in generating summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan; (4) 2 years experience in generating outputs and reports to support data science and methodological workflows; and (5) 2 years experience in building machine learning pipelines and/or AI solutions. Experience may be gained concurrently. Full-time, position located in Chicago, IL. Hybrid position. Must reside within commuting distance from the employer's Chicago, IL office. Various unanticipated locations throughout the U.S. Salary: $142,968.25 to $179,000.00/year. Please apply online at *************************************** Vizient has a comprehensive benefits plan! Please view our benefits here: ******************************************* This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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 Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 5+ years of experience in data analysis software, with data science experience preferred. 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range$110,500-$149,500 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. BenefitsFor full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Company description Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at ********************************* The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together. * People First, Driving Success Together * Problem Solving Mindset * Respect Each Other * Partner and Collaborate as One Team * Commit to Quality and Standards * Innovate and Embrace the Future Overview We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization. * Visa sponsorship is not available for this role including H1B, OPT EAD etc.* Responsibilities * Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications. * Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment. * Collaborate with product and engineering teams to integrate generative models into scalable applications. * Conduct research on emerging Gen AI techniques and apply them to business use cases. * Fine-tune pre-trained models and develop custom architectures for domain-specific tasks. * Ensure compliance with AI ethics, bias mitigation, and data privacy standards. * Mentor junior data scientists and contribute to best practices in model development and MLOps. Qualifications * Bachelor's. in Computer Science, Data Science, AI/ML, or related field. * 7+ years of experience in Data Science, with at least 2+ years in Generative AI. * Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks. * Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures. * Expertise in NLP, computer vision, and multimodal AI. * Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. * Strong understanding of data ethics, bias detection, and responsible AI principles. Preferred * Experience with prompt engineering, fine-tuning large models, and vector databases. * Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse. * Publications or contributions in AI research communities. Additional information All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. Salary Range - $125-145K/yr (Depends on location, qualifications and experience) This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations. #LI-DS1

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: ******************** .

About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive)

Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes. Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management. We are seeking a highly experienced Senior Data Scientist to lead complex projects, mentor junior team members, and develop cutting-edge machine learning models and analytics tools. The ideal candidate will have a proven track record of solving high-impact business problems using data-driven methodologies and be passionate about advancing our organization's data capabilities.KEY RESPONSIBILITIES Data Strategy Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. Collaborate with clinical teams and external vendors to facilitate data collection. Model Development & Deployment Design, develop, and deploy scalable machine learning models and advanced analytics. Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment. Optimize existing algorithms and pipelines to improve efficiency and performance. Own the end-to-end lifecycle of models, from research and prototyping to production and monitoring. Advanced Analytics Perform exploratory data analysis to extract actionable insights. Develop predictive, prescriptive, and descriptive analytics to inform decision-making. Work with structured and unstructured data to uncover trends and patterns. Data Infrastructure & Tools Partner with data engineering teams to ensure the availability of robust data pipelines. Recommend and implement data tools, frameworks, and platforms to enhance workflows. Stakeholder Engagement Communicate complex findings and recommendations to technical and non-technical stakeholders. Translate business objectives into data science tasks and projects. QUALIFICATIONS Education Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience 3+ years of professional experience in data science or machine learning roles. Demonstrated experience leading data science projects or teams. Technical Skills Expertise in programming languages such as Python, R, or Scala. Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and presentation skills. Proven ability to influence cross-functional teams and stakeholders PREFERRED QUALIFICATIONS Industry experience in healthcare or medical device environment. Familiarity with MLOps and automated pipelines. Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Priority will be given to applications received by Monday, February 23, but applications will continue to be reviewed on a rolling basis until the position is filled. ABOUT THE RICHARD L. DUCHOSSOIS FOUNDATIONThe Richard L. Duchossois Foundation (RLD) was founded in 2022 and launched formal operations in 2024. The Foundation is committed to addressing seemingly intractable social problems with imagination and passion. We strive to improve the lives of families and veterans, and to cultivate entrepreneurs through data driven and collaborative approaches to funding. We seek to practice philanthropy with rigor and from a place of listening and strive to be a learning organization - to always seek greater understanding of our funding priorities. While our home and our priority is the Chicago region, we may consider national efforts that are aligned with our mission, values and goals. ABOUT THE DATA STRATEGY & INSIGHTS TEAMRLD Foundation's Data Strategy & Insights team provides a backbone for the foundation's commitment to evidence-informed grantmaking and sector-wide learning. We strive to transform data from a compliance exercise into a catalyst for change, building a continuous cycle of inquiry, insight, and action within RLD Foundation, across our grantee partners, and throughout Chicago's social sector ecosystem. RLD Foundation is building a team of data scientists and researchers to advance six interconnected areas of work: - Generating data-driven insights to inform grantmaking strategy- Embedding iterative strategic learning processes into grant portfolio management- Developing monitoring and evaluation systems that measure what matters- Supporting grantee data capacity to help partners unlock the value of their own information- Strengthening ecosystem-wide data infrastructure where possible- Designing and building robust internal and public-facing data systems and tools. Throughout our work, the team champions data principles that are purposeful, community-grounded, and capable of driving lasting, systemic change. We strive to be a learning organization, valuing thoughtful iteration, transparency about what we know and don't know, and learning in close partnership with each other, grantees, and communities. JOB SUMMARYRLD Foundation seeks a mission-driven Senior Data Scientist & AI Engineer to join our Data Strategy & Insights team. In this role, you will play a central part in advancing the foundation's data strategy in a highly collaborative environment. The position sits at the intersection of data and AI engineering, advanced analytics, and data strategy, offering the opportunity to do technically rigorous, high-impact work in service of social change. The role has two co-equal primary responsibilities: (1) building and owning RLD Foundation's core data infrastructure and AI-enabled analytics platform, and (2) conducting advanced analytics to generate insights that inform grantmaking strategy and organizational learning. The position will architect the technical systems that enable high-quality data work across the foundation while also serving as a lead analyst who delivers clear, actionable insights to program teams and leadership. There will also be opportunities to contribute to broader data strategy development and selective grantee- and field-facing data capacity building initiatives. You will report to the Director of Data Strategy & Insights and work alongside a Senior Research and Insights Analyst, with the potential for the team to grow as the organization evolves. This is an early-stage data environment with significant opportunity to shape systems, tools, and analytical approaches. You will bring technical leadership to the team, with the autonomy to architect solutions and make strategic technical decisions that will define how the foundation uses data to catalyze meaningful change. We recognize this role asks for an uncommon combination of technical depth and mission commitment. The right candidate brings senior-level data engineering and analytics expertise and is equally energized by applying those skills to advance social good. If you're someone who could thrive in tech but would rather build systems that help families, veterans, and entrepreneurs in Chicago, this role offers that meaningful intersection. KEY RESPONSIBILITIESThis role's primary focus is building data infrastructure and conducting analytics, with significant investment in developing AI-enabled knowledge systems. You'll also contribute to broader data strategy conversations and selective grantee capacity building. Day-to-day work spans the following areas: Data Infrastructure, Systems, and Tools Lead the development and maintenance of modern and scalable data infrastructure to undergird RLD Foundation's data strategy and AI-enabled knowledge platform: • Architect and maintain RLD Foundation's cloud-based data infrastructure, ensuring performance, scalability, and security• Develop and automate ingestion and transformation pipelines to build an integrated warehouse of data from internal systems (grants management, CRM, program data) and external sources (public APIs, data partners, research institutions, government)• Support the development of analytical tools and web-based platforms that enable staff, board, and ecosystem partners to access real-time insights• Implement rigorous data quality, validation, and governance protocols• Develop data dictionaries, and document all code and data processing workflows Data Analytics & Strategic Insights Collaborate with the Data Team and Program Directors to develop an institutional data practice where we ask powerful questions, collect relevant data, generate insights, and take action: • Apply statistical, machine learning, and geospatial techniques for applied analysis, with advanced NLP and LLM-based methods primarily used within the AI-enabled knowledge platform• Creatively source and curate relevant datasets from public, private, academic, and alternative sources relevant to RLD Foundation's work and to fill sector data gaps• Conduct exploratory data analysis across RLD Foundation's internal and partner datasets to identify trends, gaps, and opportunities• Advise on key data points for data briefs and white papers that share insights transparently with grantees and the broader sector AI-Enabled Knowledge Platform Building on RLD Foundation's core data infrastructure outlined above, this role will: • Lead the design and development of an AI-enabled knowledge layer, in collaboration with external partners as appropriate, that integrates structured data (grants, finances, open data, acquired private data) and unstructured data (reports, research, meeting notes, transcripts), into a unified, query-able system• Build retrieval-augmented generation (RAG) pipelines that allow staff to ask complex strategy questions and receive synthesized, source-grounded answers (i.e. “What strategies have been most effective in creating family-sized affordable housing in Chicago, and where do gaps remain?”)• Implement metadata, embeddings, and document indexing to support semantic search, cross-dataset linking, and transparent sourcing• Partner with program teams to translate learning and strategy questions into AI-supported workflows and analytical products• Ensure responsible AI practices, including data governance, bias awareness, privacy protection, and explainability of outputs Data Strategy • Partner with the Director of Data Strategy & Insights, Program Directors, Grants Manager, and Research Analysts to identify datasets to acquire and analyses to conduct that support strategic learning, monitoring, and evaluation priorities• Contribute to the design and tracking of indicators and metrics that can help RLD Foundation better understand baselines, progress and trends in its focus issue areas• Collaborate across the organization to ensure all data collection systems and tools are thoughtfully designed to capture information that aligns with organizational needs and learning questions• Contribute to a culture of iterative learning around data use Grantee & Field Capacity Building Contribute to RLD Foundation's grantee-centered approach to data capacity building, supporting nonprofits use data to strengthen their own work. This work will be selective and episodic, not a primary day-to-day responsibility: • Work with select grantees to understand their data aspirations, current pain points, and where RLD Foundation support could help them build data capacity• Partner with grantees and capacity-building vendors to shape and support data initiatives; provide hands-on support selectively when it creates high leverage for learning or infrastructure• Contribute analysis and expertise to collaborative initiatives that enable grantees, peer funders, and others to learn together from data• Create public-facing data tools and resources for grantees and the broader field QUALIFICATIONS Required Qualifications• Typically 7+ years of experience in data science, engineering, analytics, AI, or related role• Mission alignment: Demonstrated commitment to social impact and the values of the Foundation• Data infrastructure: Experience with cloud data platforms (e.g., Snowflake, Azure, BigQuery, AWS), data warehouse architecture, and building automated ETL/ELT pipelines (e.g. dbt, Airflow)• Programming expertise: Advanced proficiency in SQL, and Python and/or R for data analysis, modeling, and automation• Data analytics and modeling: Strong foundation in statistical methods, predictive modeling, and machine learning; experience applying these methods to real-world problems • Practical experience with modern AI/ML concepts (LLMs, embeddings, transformers); experience applying AI/ML methods to real problems.• Communication: Ability to explain complex concepts clearly and patiently, adapting to match individual learning needs• Technical versatility: Comfortable learning new tools, technologies, and working across the data stack• Version control: Proficiency with Git/GitHub for collaboration and code management Preferred Qualifications• 8-10+ years of experience and/or an advanced degree in data science, engineering, analytics, AI, or related role• Experience in civic technology, nonprofit organizations, philanthropy, or government• Exposure to working with vector databases, embeddings, or modern document stores• Experience integrating structured and unstructured data for analysis• Familiarity with responsible AI, model evaluation, and human-in-the-loop workflows• Experience building web-based data products or interactive applications (dashboards, data explorers, mapping tools)• Experience providing technical assistance or data capacity support to external partners• Experience strengthening data ecosystems or collaborative data infrastructure across multiple organizations• Knowledge of data governance, privacy, and ethics frameworks Personal Qualifications • Demonstrated ability to work as part of a team and with people who hold diverse perspectives• Highly developed emotional intelligence and demonstrated ability to use interpersonal skills and political acumen in respectful and collaborative ways• Flexibility, commitment to teamwork, curiosity, and a sense of humor• Capacity to work amicably in a small office with high volume of work, as well as a deep sense of responsibility and accountability• Ability to make decisions, justify recommendations and be responsible and clear with stakeholders• A record of recognizing and acting on opportunities to continuously improve• High degree of professional ethics and integrity• Ability to work autonomously LOCATIONThe RLD Foundation office is located in Chicago's Loop. Occasional travel outside of Chicago may be expected and may include participation in professional conferences. Please note RLD Foundation maintains a hybrid work environment where employees are expected to work in the office three days a week with occasional additional days as necessary. EQUAL OPPORTUNITY EMPLOYERRLD Foundation is an Equal Opportunity Employer and strives to recruit and retain highly competent individuals for its staff. It is RLD Foundation's policy to recognize the potential of each employee without regard to race, color, religion, sexual orientation, national origin, sex, pregnancy, childbirth or related medical conditions, age, marital status or family, or socio-economic backgrounds. This policy shall apply to all phases of the employment relationship. All applicants will be evaluated on a merit basis. BACKGROUND CHECKSRLD Foundation intends to conduct background checks prior to hire. WORKING AT RLD FOUNDATIONWorking at RLD Foundation means becoming part of a talented team of passionate individuals who value inclusivity and innovation, are dedicated to RLD Foundation's mission and values. Candidates who possess flexibility, maturity, vision, personal fortitude, and a sense of humor will find it a pleasure to work here. PHYSICAL REQUIREMENTSThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Ability to sit at a computer terminal for long periods of time, ability to be physically in attendance at workstation at a designated company office location during normal business hours designated for the position. While performing the duties of this job, the employee is regularly required to talk, hear, handle, and feel.

Numerator is seeking a Sr. Data Scientist to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on initiatives that turn massive proprietary datasets into impactful, production-grade solutions. This is a highly autonomous, product-focused role. You'll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact. What You'll Do: Perform as a Sr. Data Scientist by leading execution and technical planning within the organization and team, along with mentoring other Data Scientists Ideate and implement discoveries to build new product features & data products, and improve existing methodologies & algorithms Collaborate across Product, Data, and Engineering teams to identify, investigate, integrate, and deliver solutions related to back-end and front-end data services Lead and deliver complex projects involving data and statistical modeling (e.g. sampling, forecasting, segmentation, classification, predictive modeling, etc.) Regularly communicate outcomes, new initiatives, and improvements to stakeholders Serve as a data science subject matter expert for both internal and external stakeholders BS or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science 9+ years of industry experience as a data scientist (or equivalent role/work) with a BS in the above-mentioned areas, or 5+ years of industry experience with a PhD in a quantitative field Leadership experience as a manager or mentor or team lead Proficiency in Python and SQL Written and verbal communication skills with experience in communicating complex concepts to a non-technical audience; enjoy data storytelling via presentations, articles, reports across various stakeholders Experience with defining key product metrics, setting team goals, and building internal tools to monitor progress against KPIs Conduct and analyze complex survey/panel data, perform exploratory analysis, feature engineering, quality reviews, documentation, weighting, bias-correction, and imputation Nice to Haves: Experience in the CPG/FMCG/retail industry or hands-on with user-level purchase data for marketing/behavioral insights Experience with developing, deploying, and maintaining back-end production code in cloud environments with technologies like AWS, Airflow, SageMaker, etc Proven track record of delivering solutions to a production environment Solid understanding of SQL and relational databases (e.g., Snowflake, MySQL, Postgres, etc.), and experience using normalized and denormalized data architectures Experience with agile methodologies, e.g., estimating & scoping open-ended data science work to help Product hone in on requirements and business value Experience with understanding, analyzing, and modeling user data and behavioral trends Enthusiasm for identifying and pursuing new business and product opportunities; unleashing creativity & innovation in a team environment What We Offer: An inclusive and collaborative company culture - we work in an open, transparent environment to get things done and adapt to the changing needs as they come An opportunity to have an impact in a technologically data-driven company that's changing the market research industry and getting rave reviews Ownership of data solutions Market-competitive total compensation package Volunteer time off and charitable donation matching Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resources groups Regular hackathons to build your own projects and Engineering and Data Science Lunch and Learns Great benefits package including health/vision/dental, unlimited PTO, flexible schedule, internally quiet focus time, recharge days, 401K matching, travel reimbursement, and more

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.

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.

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 (*********************************************** .