Senior data scientist jobs in Washington, IL

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $115,000 - $130,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

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 1,000 health and wellness offices across 47 states in three distinct categories: Dental care, urgent 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 Analyst, Data & Insights supporting our WellNow Urgent Care brand. This role is responsible for leveraging data and transforming it into insights and reporting that can be utilized across all levels of the organization. This role will be engaged in driving the business both through support of our business partners in both the offices and field teams along with informing strategy for our Executive Leadership Team. Responsibilities As a Senior Analyst, Data & Insights you will be responsible for: Supporting the WellNow brand through the development of a common approach and infrastructure to data sources built to support enterprise-wide reporting Capture and translate business requirements for reporting from executive leadership Developing key data sources in BigQuery through use of SQL, Power BI, or other reporting languages & tools Synthesizing insights from various data sources and presenting data in an easy-to-read manner Become organizational expert on data sources and how to extract data from all systems. Ability to combine multiple data sources; strong attention to detail and data integrity. Work across departments to understand how their work impacts the performance of the business deriving metrics to measure results Identify key opportunities to drive transparency and turn data into insights and action. Leading organization in implementing a standardized, consistent approach to reporting, with a strong focus on user experience to drive usage. Utilizing data to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making. Ad-hoc analytical projects as needed. Minimum Education and Experience BA or BS in Data Analytics, Finance, Business or other degree with equivalent work experience in analysis or insights-based roles. 3+ years of experience in data analytics or similar analysis-driven roles required. Required experience partnering with both key business stakeholders and IT departments. Experience writing in SQL or BigQuery is required. Experience using data visualization software like Tableau or PowerBI is required. Ability to find and query appropriate data from databases, along with validating and reviewing data and reports for accuracy and completion Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Advanced skills with Microsoft Excel and PowerPoint are required. Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $87,500-105k, 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: ********************************************************************************* View CA Privacy Policy

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions * Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages * Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles * Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions * Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge * Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups * Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available * Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for) * Anticipates working team questions to data and approach * Identifies solution quality risks and on-time risks * Understands the business value, process, and expectations before focusing on choice of a technical solution * Understands the intuition behind the numbers (i.e. does it make sense?) * Provides on-going analytical services to client organizations * Communicates results to management and clients * Contributes deck content and builds the story for the deck with guidance to summarize findings * Develops and delivers presentations aligned with Ai standards * Speaks in a manner appropriate for working team and their level +1 * Keeps informed about the latest analytical methods and research in the operations research and analytics fields Qualifications What's needed to succeed (Minimum Qualifications): * Masters in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles * Coursework or work experience with mathematical programming techniques * Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL * Coursework or work experience with C, C++, Java, R, Python, or other structured programming language * Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment * Good interpersonal skills and ability to interact with clients * Proficient with MS Office * Successful completion of interview required to meet job qualifications * Must be legally authorized to work in the United States for any employer without sponsorship * Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): * Minor in computer science and/or formal advanced computer science coursework preferred * 1+ years of professional experience in analytical field * 1+ years designing and programming/coding data structures for large-scale computer models * Experience with Julia programming language * Knowledge of United/industry data sources * Structured programming for large-scale computer models * Demonstrated ability to create business value The base pay range for this role is $91,770.00 to $119,514.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.

CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry's most challenging problems and take calculated risks in a collaborative environment. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Join our team as a Data Scientist in the systematic vol trading space, to advance research, grow trading, and expand strategies. You will work on large amounts and broad varieties of data. You will work closely with Quant Researchers, Engineers, and Traders to optimize trading strategies by owning and maintaining useful datasets. You will also have exposure to multiple functions throughout the organization including backtesting platforms and trading systems. What You'll Do Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets. Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets. Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, backtests, and production trading systems. Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets. Contribute to the improvement and innovation of trading strategies by providing critical data insights. Ensure that data handling processes are flawless and strictly follow industry standard methodology. Successfully implement solutions that improve data quality and accessibility for the entire organization. What We're Looking For 5 - 7 years of financial industry experience. A proven commercial approach and enthusiasm for collaborating directly with quants and risk managers. Outstanding oral and written communication skills and a great teammate. Strong knowledge of financial market data. Knowledge of options trading data is a big plus. Expertise in writing robust production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring. Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues. Experience with data ETL processes and writing SQL queries is a big plus. Familiarity with job scheduling tools like Airflow is advantageous. Knowledge of Linux is a plus. Compensation The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual's skills, experience, qualifications, and firm performance. Salary Range$200,000-$225,000 USD Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. Our Benefits We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. 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, and to receive other benefits and privileges of employment. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at ***********************. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response. Use of Artificial Intelligence (AI) Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.

**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 G** **ain** **:** + 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 to $151,200 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 TreeHouse Foods is a private label food and beverage leader focused on customer brands and custom products. When customers partner with TreeHouse they can expect access to an industry-leading portfolio, strategic vision, on-trend innovation and insights, world-class supply chain, operational excellence and flexibility, collaborative approaches, and dedicated customer service. Our strategy is to be the leading supplier of private label food and beverage products by providing the best balance of quality and cost to our customers. We engage with retail grocery, food away from home, and industrial and export customers, including most of the leading grocery retailers and foodservice operators in the United States and Canada. Our portfolio includes a variety of shelf-stable, refrigerated, and snack products. Customers can expect comprehensive flavor profiles including natural, organic, and preservative-free ingredients in many categories and packaging formats. TreeHouse Foods is best known for food and beverages produced by our two largest businesses Bay Valley Foods, LLC (including E.D. Smith and Sturm Foods) and TreeHouse Private Brands. With more than 10,000 employees in over 26 plants across the United States and Canada, TreeHouse Foods is based in Oak Brook, Illinois. **Recruitment Fraud Alert** We want to ensure your career journey with TreeHouse Foods is safe and secure. Scammers may attempt to impersonate our company by sending fake job offers, interview, and sensitive document requests. If you receive an email claiming to be from us, always verify the sender's email address-it should match our official company domain (@treehousefoods.com) exactly. We will _never_ ask for payment, financial, or personal information and documents as part of our interview process. If you suspect fraudulent activity, please contact us directly by visiting the Contact page on our website (****************************************************** . Stay vigilant to protect yourself from recruitment scams. **Disability Assistance and EEO Considerations:** 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 **To all recruitment agencies:** TreeHouse Foods does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Treehouse Foods employees, or any company location(s). TreeHouse Foods is not responsible for any fees related to unsolicited resumes/CVs.

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.

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ SENIOR DATA SCIENTIST (P1580) CINCINNATI, OHIO OR CHICAGO, ILLINOIS SUMMARY: We are a community of data scientists that act as the voice of the customer - they share their story with us each and every day. Through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life. Our 360° customer view allows us to anticipate customer needs, thus enabling our clients to connect with their customers in meaningful, relevant ways. We expect all data scientists to be hands on with respects to the analysis of a retailer database, using the full suite of 84.51° technical tools - including Python, SQL, Excel, and other internal tools - to create timely, relevant, and actionable insights. The Loyalty Strategy & Rewards (LSR) team is accountable for Kroger's current loyalty program and defining evolution to the future loyalty program. The LSR data science team supports this work by providing measurements and insights that equip the business to connect with members, drive valuable behavior change, and grow emotional loyalty with Kroger. RESPONSIBILITIES: Working with business partners to support Kroger's Loyalty Program, inclusive of Free Tier (Kroger Plus, Fuel Points, and Kroger Plus 2.0) and Boost Paid Tier. Generating actionable insights and data to drive business decisions, including measurement of paid tier and free tier loyalty initiatives. Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification while ensuring minimal downtime and maximum utilization. Partnering with 84.51° Product & Engineering, as well as KTD partners. Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients. Identifying opportunities for standardization & automation of existing solutions and processes to enable 84.51° to realize the maximum potential from our teams and free up capacity for innovation. Challenging and improving 84.51° analytical capabilities/products. Working closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions. QUALIFICATIONS, SKILLS, AND EXPERIENCE: Bachelor's or Master's degree in mathematics, statistics, analytics, data science or related discipline. 2+ years of experience applying data science, statistical learning, or AI to solve complex business problems. 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions, and presenting findings and recommendations to clients or stakeholders. Data visualization and BI skills + ability to present technical solutions to non-technical audience. Experience partnering with consulting teams to prioritize, scope and deliver analytical solutions. Strong interpersonal and communication skills - including excellent verbal, written, presentation and consultation skills. Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary. Excellent attention to detail, organizational skills and ability to work in a collaborative environment. Strong analytical and problem-solving skills paired with business acumen and interest in grocery loyalty. Natural curiosity that welcomes and embraces change and willingness to try new things and to fail. #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range$97,000-$166,750 USD

EDGE (****************** is a B2B fintech on a mission to expand credit access for consumers historically unserved and underserved by the reports and scores of traditional credit bureaus. We're doing this with risk analytics based on complementary alternative data that reveals a more complete financial picture. Founded in 2021, Edge is part of a larger family of fintech brands underneath our parent company, NinjaHoldings (********************** NinjaHoldings' brands include CreditNinja, a nationwide online consumer lending business established in 2017, and NinjaCard, a neobanking platform focused on consumers in the emerging credit space. The EDGE business is at an inflection point where we've proven our platform's value with early adopters, and we're ready to go full-throttle into our target markets. Elevating every aspect of our marketing efforts is critical in this planned ramp-up. Job Summary We're looking for a Senior Data Scientist with the initiative and technical depth to not only propose ideas-but build them. You should be someone who thrives on ownership: hypothesizing features and improvements, prototyping them end-to-end, validating them with real data, and partnering with engineers to scale them in production. This role sits at the intersection of data science, product thinking, and engineering. You will lead the design of analytics-driven features and systems that directly shape our products and impact real-world outcomes. Key Responsibilities: Analytics Product End-to-End Development Formulate and test hypotheses for new features, scoring improvements, and system enhancements Rapidly prototype models and data workflows to validate ideas Partner with engineering to scale successful prototypes into robust, production-grade systems Modeling & Research Design and train ML models for credit risk, fraud, and other fintech use cases Perform deep dives and exploratory analysis to uncover actionable insights and drive product improvements Define and develop meaningful feature sets using structured and semi-structured data Analytics Engineering Collaborate with engineering to build and maintain gRPC/RESTful services to serve models and analytics Operate in a modern containerized environment using Docker and Kubernetes Work with AWS infrastructure (EKS, S3, RDS) to deploy and monitor solutions Collaboration & Technical Leadership Collaborate cross-functionally with product, engineering, and risk Provide technical mentorship and contribute to standards and best practices Participate in architectural decisions and roadmap planning Ideal Candidate Will Have: Experience in consumer lending, credit risk modeling, or financial services 4+ years of experience in data science, analytics engineering, or backend ML systems Advanced proficiency in Python, including libraries like Pandas, NumPy, and scikit-learn Strong SQL skills and deep familiarity with relational databases (PostgreSQL or similar) Experience with model lifecycle: from prototyping to validation to deployment Comfort working with cloud-native infrastructure (Docker, Kubernetes, AWS) Experience building APIs (gRPC and/or REST) for real-time model inference or data delivery A strong sense of ownership and a bias for action-if you see a problem, you solve it Additional Pluses: Familiarity with real-time decision systems and model serving Benefits: Competitive salary and benefits package Fun, fast-paced work environment Dynamic start-up culture Ability to make an immediate impact in a growth stage company Convenient downtown Chicago office located in the heart of the city Equal opportunity employer Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship. IMPORTANT NOTICE: Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, *****************. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at ******************** For questions or to confirm the authenticity of a communication, please email *********************.

What's the role? HERE is searching for a Lead Data Scientist for our Foundation Engineering team. Foundation Engineering enables the creation of mapping products that are highly available, performant, and near real-time. The team analyze LiDAR data to optimize the detection and positioning of observations, features, and the collection vehicles observed path, We constantly monitor and improve our production processes to support industry leading autonomous vehicle map maintenance and expansion. We develop algorithms and software to process data from our Here True collection vehicles, We used modern Machine Learning techniques to detect observations from the collected data and This leverages world class data sets collected for more than a decade. The job includes creating inovative AI solutions for highly accurate HD map products supporting the worlds leaders in autonomous driving. This includes leveraging the lastest AI technology to build the map foundation from a world wide collection of LiDAR and Imagery data. As our team is spread around the globe, you will work collaboratively with other team members from different locations. Applying latest 3D foundation model research to advance the capabilities of autonoumous vehicles Create, design, and build efficient and scalable AI applications. Engage in collaborative efforts with cross-functional teams, developers, product managers, and stakeholders to establish requirements and deliver high quality solutions. Participate in multiple stages of the development lifecycle, commencing from ideation, Ai development, testing, all the way through to release. Detect and resolve intricate problems through troubleshooting and debugging, pinpointing underlying causes and enacting effective remedies. Keep current with the latest trends and advancements in research, seamlessly incorporating pertinent technologies and frameworks into ongoing projects. Continuously refine development processes and methodologies to amplify team efficiency and productivity. Who are you? Bachelor's degree in engineering OR MSc/MS in Mathematics/Computer Science, Machine learning and AI or related quantitative years of experience. Candidates with PhD in related fields may have one/two years of experience. • Experience with Deep Learning, Incremental Learning, Generative AI, and Foundation Models • Excellent applied skills in Python programming. • Experience with Algorithms, Data Structures, multi-threading, multi-processing, concurrency. • Experience with Image Processing, Point Cloud Processing, and Autonomous Perception Systems is a plus • Experience with Cloud Technologies, Containers, and Kubernetes Deployments is a plus The expected base salary range for this position is $123,900 to $177,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for a target annual performance bonus, which is subject to company and individual performance. Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. #LI-AG3 Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

We are seeking a driven Data Scientist to join our Analytics team. In this role, you will work on high-impact projects that leverage machine learning, AI, and data engineering techniques focused on the Service Solutions and Commercial organization. This is an excellent opportunity for early-career professionals and will work closely with experienced data scientists and engineers who will mentor and guide your development. A passion for learning, a collaborative mindset, and a bias toward innovation are key to success in this role. Responsibilities * Support the development of predictive and prescriptive models using machine learning and statistical techniques to address key business problems in electrification and supply chain. * Assist in building data pipelines and workflows to ingest, clean, and prepare large datasets from various internal and external sources. * Collaborate on the development and deployment of analytics solutions using cloud platforms such as Databricks and Azure ML. * Develop clear and compelling data visualizations and dashboards to communicate insights to both technical and non-technical stakeholders. * Work within an agile team environment, contributing to code repositories, sprint planning, and solution documentation. * Stay up to date with emerging trends in data science, generative AI, and commercial mobility innovation. * Participate in innovation initiatives, brainstorming new ways to apply AI and analytics to improve operations and customer experience. Minimum Requirements * Currently pursuing a Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment OR * Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field Additional Requirements * Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills * Familiarity with SQL and working with structured data. * Exposure to cloud-based tools (e.g., Azure, AWS, GCP), particularly for data science or engineering tasks. * Understanding of key machine learning concepts such as classification, regression, clustering, or time series forecasting. * Strong interest in applying AI and analytics to solve real-world business problems. * Comfortable using data visualization tools such as Power BI, matplotlib, seaborn, or Streamlit. * Exposure to agile ways of working, including version control (Git) and working in cross-functional teams, is a plus. * A growth mindset and willingness to learn from feedback and challenges. Benefits and Compensation We provide a competitive total rewards package which ensures job satisfaction both on and off the job. We offer market-based compensation, health benefits, 401(k) match, tuition assistance, EAP, legal insurance, an employee discount program, and more. For this position, the expected salary range will be commensurate with the candidate's applicable skills, knowledge and experience. You can learn more about our comprehensive benefits package at ******************************************** Company Overview ABOUT TRATON With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world's leading commercial vehicle manufacturers. The Group's product portfolio comprises trucks, buses, and light-duty commercial vehicles. "Transforming Transportation Together. For a sustainable world.": this intention underlines the Company's ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group's commercial growth. ABOUT INTERNATIONAL From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International trucks and engines and IC Bus school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit ********************** * International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah. EEO Statement We are 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. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email ********************* to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD Design of observational studies (primary and/or secondary data) Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed Contributes to vendor selection with partner functions Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Mentor and guide junior members of the RWD Analytics team

InfoTech Resources is seeking a Data Scientist for a hybrid position based in the Chicago Loop, working 2-3 days per week onsite. This opportunity is open to both contract and direct-hire candidates. The selected candidate will play a key role in designing, developing, and optimizing data-driven AI solutions within a modern cloud-based environment (Google Cloud). The client is a large enterprise company in the insurance sector and this role will join their first dedicated AI/ML team charged with designing and laying a proper foundation for AI/ML solutions. The Data Scientist will use Python and leading AI frameworks to build, train, and evaluate models that support intelligent applications and data analytics initiatives leveraging Google Vertex AI, Gemini, and OpenAI integrations. Candidates must have expertise designing/developing models, agents, frameworks, etc. within a greenfield context and hands-on experience in evaluating model performance using structured testing methodologies. Key Responsibilities Develop, train, and validate predictive and generative AI models using Python and industry-standard libraries such as NumPy, pandas, scikit-learn, matplotlib, and TensorFlow/PyTorch Design and execute structured experiments to evaluate LLM and model performance using quantitative testing methodologies Collaborate with AI engineers and software developers to operationalize models within Google Vertex AI or similar environments Apply data wrangling, feature engineering, and exploratory data analysis (EDA) to ensure data quality and model interpretability Build and visualize insights using Power BI, matplotlib, or other data visualization tools Implement best practices in prompt engineering, context filtering, and AI model evaluation Contribute to continuous improvement of the organization's AI and machine learning capabilities through research and adoption of emerging methods Communicate findings and recommendations clearly to technical and business stakeholders Required Skills & Experience Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 5+ years of hands-on experience in Python for data science and AI solution development Background in cloud-based data environments (Google Cloud Platform, Azure, or AWS) Familiarity with LLM prompt design, AI observability, or model monitoring frameworks Proven experience with Google Vertex AI, Gemini, or OpenAI models Proficiency with NumPy, pandas, scikit-learn, or similar Python libraries and visualization libraries such as matplotlib or seaborn Strong foundation in machine learning techniques, including regression, classification, clustering, and evaluation metrics Experience designing and executing experiments to evaluate model performance Excellent analytical, problem-solving, and communication skills Experience presenting findings to cross-functional or business leadership audiences Exposure to deep learning or generative AI workflows (e.g., PyTorch, TensorFlow, Hugging Face Transformers) is preferred

About Us We're not like other insurance companies. From our specialty products to our business model, our culture to our results - we're different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us. RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company.Role OverviewWe're hiring a mid-level Data Scientist to play a foundational role in shaping how AI/ML is applied across our Personal Umbrella Policy (PUP) and E&S Property lines of business. This individual will work hands-on to design, build, deploy and maintain curated data and analytical models within Snowflake, collaborating closely with our product, actuarial, analyst and engineering teams. You'll own the full model lifecycle-from experimentation and feature engineering to deployment, monitoring, and retraining-while contributing to the development of a repeatable, scalable data science foundation at RLI. Key Responsibilities Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution. Own the end-to-end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring. Work closely with our underwriting, claim, actuarial, and analyst teams to translate business needs into data science solutions. Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. Partner with data engineering to ensure the availability and readiness of Snowflake-based datasets for modeling and inference. Contribute to the development of model governance, reusability standards, and operational monitoring frameworks. Stay current on Snowflake's evolving capabilities to ensure model development aligns with platform best practices. Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments. Required Qualifications 3-5 years of hands-on experience in applied data science or machine learning roles. Proficiency in Python (e.g., scikit-learn, XGBoost, pandas) and SQL. Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud-native tools. Strong understanding of supervised learning, feature engineering, and model performance evaluation. Proven ability to work cross-functionally with both technical and non-technical stakeholders. Excellent problem-solving, communication, and documentation skills. In-office requirement of 3 days minimum in our Peoria or Chicago office. Preferred Qualifications Background in insurance, risk modeling, or financial services. Experience working in environments with governed data platforms and production ML workflows. Exposure to MLOps practices, model versioning, and drift monitoring. Why Join RLI? Opportunity to shape the future of data science at a financially strong, innovation-minded company. Work with a modern data stack (Snowflake, Power BI, Azure). Partner closely with experienced leaders and cross-functional teams. Make a direct impact on underwriting precision, claims operations, portfolio risk management, and product innovation. Compensation OverviewThe base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future. Base Pay Range$107,411.00 - $156,551.00Total RewardsAt RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.Financial Incentives Annual bonus plans Employee stock ownership plan (ESOP) 401(k) - automatic 3% company contribution Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings) Work & Life Paid time off (PTO) and holidays Paid volunteer time off (VTO) to support our communities Parental and family care leave Flexible & hybrid work arrangements Fitness center discounts and free virtual fitness platform Employee assistance program Health & Wellness Comprehensive medical, dental and vision benefits Flexible spending and health savings accounts 2x base salary for group life and AD&D insurance Voluntary life, critical illness, & accident insurance for purchase Short-term and long-term disability benefits Personal & Professional GrowthRLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include: Training & certification opportunities Tuition reimbursement Education bonuses Diversity & InclusionOur goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

Saxon Global is one of the fastest growing Inc 500 Companies in the US, providing enhanced IT consulting, and engineering solution services from past 16 years. Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools and services to help organizations across industry verticals such as Financial Services, Retail, Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Description Preferred : • At least 4 years' experience of Data warehousing concepts, dimensional Star Schema and Snowflakes Schema methodology. • At least 4 years of Expertise in Data Warehousing ETL Tool DataStage using Components like DataStage Designer and Datastage Director • Develop ETL code that meets technical specifications and business requirements according to the established designs and framework • Expertise in designing DataStage Parallel Jobs, Job Sequencing, Creating Parameter Sets, Environment Variables and Creating Parallel Routines, Data Cleansing and Writing Transformation expressions to derive values and remove unwanted data. • Expertise in shell scripting and SQL • Scheduling tool experience • In depth experience in troubleshooting of DataStage jobs and addressing issues like performance tuning. • Creates other technical deliverable artifacts such as source-to-target mappings, implementation handbooks etc. needed for project implementation • Ability to work in team in diverse/ multiple stakeholder environment. • Experience and desire to work in a Global delivery environment. • Communication and Analytical skills Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education • At least 4 years of experience with Information Technology Additional Information All your information will be kept confidential according to EEO guidelines.

**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., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world._ **Job Summary:** Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. **What You Will Do:** + Experience leading projects and teams to completion. Mentor and provide guidance to other team members. + Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. + Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. + Reporting and presenting team results. **What You Will Have:** + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. + **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. + **Business Statistics:** Extensive knowledge of the 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. **Considerations for Top Candidates:** + Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree + Extensive experience in predictive analytics. Building and implementing machine learning models + Advance experience programming in Python and SQL + Experience with AWS products such as Sagemake, RDS, EC2, S3 **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 available for eligible applicants. **Posting Dates:** December 10, 2025 - January 4, 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 (*********************************************** .

Data Science Research Services The Data Scientist will support the analytical, research, and technical needs of DSRS in helping Faculty and Researchers. This role is responsible for conducting data analysis, building datasets, developing models, supporting research projects, and contributing to internal tools that enhance data-driven decision-making within the Gies College of Business. Duties & Responsibilities * Data Analysis & Research Support a. Clean, prepare, and analyze datasets to support faculty research and DSRS initiatives. b. Conduct exploratory data analysis, statistical testing, and visualizations. c. Translate research questions into clear analytical approaches and deliverable outputs. * Modeling & Methodology Development a. Build and evaluate statistical models or machine learning models based on project needs. b. Develop reproducible workflows for model training, testing, and interpretation. c. Document methodologies and maintain organized, transparent code for future reference. * Data Pipeline & Workflow Development a. Assist in building and maintaining robust data pipelines used across DSRS projects. b. Ensure data processing steps are consistent, scalable, and aligned with best practices. c. Collaborate with technical staff to integrate data processes into DSRS framework * Internal Tools & Reporting a. Contribute to dashboards, internal applications, or automation processes used by DSRS. b. Generate clear summaries, reports, and visual outputs for faculty and internal stakeholders. c. Support development of templates, documentation, and shared resources. d. Support and contribute to infrastructure development to support DSRS services * Cross-Functional Collaboration a. Work closely with faculty, staff, project managers, and interns to deliver high-quality analytical work. b. Participate in project scoping, requirement gathering, and progress discussions. c. Provide technical guidance or support to junior team members when needed. d. Mentor and train students into Data Science Applications * Miscellaneous a. Provide ad-hoc assistance as and when required b. Support additional tasks or emerging needs that fall outside the primary responsibilities, as the role evolves with DSRS. Additional Physical Demands Additional Information: This position supports both research-based and operational projects within the college. Work may include collaboration with multiple faculty members, administrative units, and cross-functional teams. The role requires flexibility, professionalism, and adherence to university data, privacy, and security standards. Minimum Qualifications 1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. 2. Proficiency in Python and commonly used data science libraries 3. Experience with data cleaning, analysis, and visualization. 4. Experience applying statistical or machine learning methods to real datasets. Preferred Qualifications 1. Experience working with large or research datasets. 2. Experience with large computing systems. 3. Experience with SQL or relational databases. 4. Familiarity with cloud tools or workflow automation 5. Experience supporting academic research or collaborative analytic projects. 6. Familiarity with emerging AI/ML techniques (e.g., embeddings, LLM-based workflows). Knowledge, Skills and Abilities Strong analytical and problem-solving skills. Ability to write clean, well-documented, and reproducible code. Strong communication skills and ability to explain technical concepts clearly. Appointment Information This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after the 2/16/2026. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. The budgeted salary range for the position is $90,000 to $100,000. Sponsorship for work authorization is not available for this position. For more information about Gies Business, visit ****************************************************** Application Procedures & Deadline Information Applications must be received by 6:00 pm (Central Time) on January 15, 2026. Apply for this position using the Apply Now button at the top or bottom of this posting, and upload your cover letter, resume (months and years of employment must be included), and names/contact information for three professional references. Please remember to include specific information on how you meet the qualifications of the position in your resume, including all relevant experience. Applications not submitted through ************************* will not be considered. For further information about this specific position, please contact *******************. For questions regarding the application process, please contact ************. This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at ************, or by emailing accessibility@illinois.edu. Requisition ID: 1034068 Job Category: Research Apply at: *************************

Education: • Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or Analytics Qualifications: • 5-7 years of experience with a Bachelor's Degree required • Will accept 3-5 years of experience with a Master's Degree. • EMR Pyspark • EMR Lambda • Other AWS tools (Athena, Glue, Cloudformation) • Git/Github • Snowflake • Requirement gathering Top Skills: • Programming • Communication • Problem Solving Job Duties: • This position will help support data engineering requests, build pipelines, and create/delete and edit tables for Global Parts Pricing. • These requests can come from various parts of the corporation. • Understand requirements and business impacts for various work items through intake meetings, etc. • Solution and deliver on requirements with high degree of autonomy • Bi-weekly release cadence