Senior data scientist jobs in Bloomington, IL - 573 jobs

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $120,000 - $140,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

Be a part of our success story Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch! The Role Launch is actively seeking a visionary Technology Leader, Data Platform Engineering to architect and deliver enterprise data platforms while driving transformational outcomes for clients. This role combines deep technical expertise in modern data platforms with strategic consulting capabilities. You will lead implementations using Azure Fabric, Snowflake, and Databricks, leveraging AI-native development tools to accelerate delivery and maintain engineering rigor. Responsibilities Include Lead enterprise data platform transformations, architecting scalable solutions on Azure Fabric, Snowflake, and Databricks. Design modern data architectures supporting real-time analytics, ML workloads, and AI agent integration. Drive technical pre-sales including solution architecture, proposal development, and executive presentations. Implement AI-native development workflows using Claude Code, GitHub Copilot, and MCP servers. Establish engineering practices leveraging AI tools for pipeline development, testing automation, and intelligent data quality monitoring. Architect solutions using Azure Fabric, Snowflake, and Databricks with governance and compliance frameworks. Recruit and develop high-performing data engineers and architects. Mentor teams on effective use of AI development tools while reinforcing engineering fundamentals. Contribute to business development through active participation in sales cycles and strategic partnership development. Qualifications Must-Have 12+ years in enterprise data platform engineering, with 5+ years in consulting or client-facing delivery roles. Proven track record leading platform transformations with project budgets exceeding $10M. Strong executive presence and ability to influence C-suite stakeholders. Expert-level proficiency in Azure Fabric, Snowflake, and Databricks. Hands-on experience with AI-native development tools (Claude Code, MCP servers, GitHub Copilot). Proficiency in modern data stack: dbt Labs, Airflow, Kafka, vector databases, and real-time streaming. Strong programming skills in Python, SQL, and infrastructure-as-code (Terraform, Bicep). Nice-to-Have Certifications: Azure Solutions Architect Expert (AZ-305), SnowPro Advanced, Databricks Data Engineer Professional. Industry-specific certifications in financial services, healthcare, retail, or manufacturing. Compensation & Benefits As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits-medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $220,000 - $245,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Posting Type Hyrbid Relativity powers the world's most critical legal, compliance, and investigative work. From corporate compliance to human rights, our platform must preserve trust in global investigations while handling petabytes of sensitive evidence. Our team builds the distributed data backbone that powers AI-assisted evidence analysis across billions of documents daily. We are at the forefront of Legal Data Intelligence, building technology that helps organizations Organize Data, Discover Truth, and Act on It. As a Lead Data Engineer, you are the technical leader for your team: hands-on, design focused, and accountable for elevating engineering quality. You'll drive architectural decisions, guide how systems are built, and mentor others to deliver high-performance, cloud-native data systems. You will work across modern data tooling, including Databricks, Kafka, dbt, and Snowflake, to directly support some of the most mission critical legal processes worldwide. Job Description and Requirements What You'll Do * Architect, build, and operate distributed data pipelines and services that process massive volumes of structured and unstructured data. * Design and deliver scalable, secure, and observable data integration and ETL solutions using dbt to ensure end-to-end data integrity and availability. * Partner with AI/ML engineers and data scientists to build data foundations that accelerate model training, experimentation, and production deployment. * Drive improvements in data quality, lineage, reliability, and SLAs, shaping engineering standards for your team. * Contribute reusable patterns, frameworks, and best practices that strengthen our Azure cloud-native data platform. What You'll Bring * 6+ years of experience in data engineering, backend engineering, or data architecture with substantial work on distributed systems and cloud-first data platforms. * Deep understanding of data modeling, ETL/ELT design, and workflow orchestration. * Proven ability to lead technical decisions within a team-breaking down complex problems, defining trade-offs, and driving alignment. * Strong communication skills and the ability to explain complex data concepts to diverse audiences. * A commitment to building systems that create clarity and insight through data, not just moving data from point A to point B. Preferred Experience * Expertise with Databricks and/or Azure-based data architectures. * Background building systems that support ML workflows or AI-driven applications. * Experience leading modernization or migration of large-scale data platforms. * Strong understanding of observability and cost-optimization strategies for cloudbased data systems. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $150,000 and $224,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

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: $95,000-110,000k 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

Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description We're seeking a highly analytical Senior Data Analyst with strong P&C insurance experience to elevate our compliance and data capabilities. You'll own the end-to-end process of transforming complex policy, claims and financial data into accurate, timely regulatory filings. This role blends Data Analysis, Data Engineering, and Actuarial insight, ideal for someone who thrives on solving data challenges with real business impact. What You'll Do Interpret regulatory requirements and break them into clear data needs Analyze underwriting, policy, claims, and financial data to ensure completeness, accuracy, and compliance Partner closely with Applications, MGA Operations, Data Analysis, Data Engineering, Compliance, and Underwriting teams to resolve data issues Learn the ins and outs of various data models by collaborating with application experts Design and implement data enrichment solutions Model reference data Build and optimize data pipelines Reconcile data extractions with Annual Statement Support data calls, tax reporting, audits and ad-hoc regulatory requests What We're Looking For Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Actuarial Science or a related field. Master's degree preferred. 5+ years in data analysis within Property & Casualty Insurance industry, with a focus on regulatory compliance reporting. Experience with Insurance Operations and Statutory Accounting, across policy, claims, underwriting, or financial domains. Strong skills in SQL, data engineering, and exploratory data analysis. Actuarial mindset or experience working with Actuarial teams Strong communication skills and the ability to work across technical and business teams Exposure to data calls and regulatory reports like NISS CLSP, NISS AQR, TX ISO CLSP, MCCA Annual Assessment, TRIA and SFAA You thrive in a fast-paced environment and handle shifting priorities like a pro. Nice to Have Experience with Snowflake and Python Associate in Regulation and Compliance Designation Why Join Us Your work will have a direct impact on ensuring we meet industry standards while staying efficient and innovative Opportunity to shape how we handle regulatory compliance reporting for the future Collaborative and supportive environment The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. New York City - $136.9k - $163k Chicago - $125.5k - $149.2k Richmond, San Antonio and Omaha - $114.1k - $135.7k PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate:We challenge the status quo with creativity and innovation as our true north. Better together:We check our egos at the door. We work together, so we win together. The Data Engineer III will design, develop, and support solutions to transport, store, and analyze data for our Unified Data Platform and multiple On-Prem data marts using Azure, Azure Databricks, and On Premises SQL Server extracting data from our source systems. Analyze, design, architect, develop and test software systems that simulate business processes and can be used to optimize and increase their efficiency, using various computer languages and Windows based platforms. Gather customer requirements and create high-level component level architecture and confer with personnel of organizational units involved to analyze current operational procedures, identify problems, oversee specific input, and output requirements. Format reports, write detailed description of user needs, program functions, and steps required to develop or modify computer programs. Review computer system capabilities, workflow, and schedule limitations to determine if requested program or program change is possible within existing system. Serve as key member in evolving and maturing our enterprise data strategy and capabilities at Press Ganey. Technical Skills: 2+ years experience with Azure data technologies (Databricks, Data Factory, Stream Analytics, Data Lake Storage, Synapse), on-premises Microsoft tools (SQL DB and SSIS) 1+ years experience with SQL, Python, PySpark. Experience in Apache Spark 1+ years experience with C#, PowerShell, and APIs 2+ years experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2. Experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databases a plus Experience in data modeling Experience with Azure DevOps and GitLab Proficient in creating CI/CD pipelines to track version changes, branch deployment Proficient in integrating automatic unit tests into CI/CD process Experience with developing automated job schedules using tools such as Tidal Familiarity with data visualization tools such as Power BI Minimum Requirements: Bachelor's degree in Computer Science, Management Information Systems, or related field Minimum of 3 years Data Engineering experience in an enterprise environment Excellent communication and collaboration skills Strong analytical and problem-solving abilities Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $ 81,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here:legal-privacy/

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

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

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

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: Competitive compensation and benefits program with no waiting period - you're eligible from your first day! 401(k) program with 5% employer match and 100% vesting as soon as you enroll. Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. Access to our wellness and employee assistance programs. Job Description: About the Role: Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. You'll add value to this role by performing various functions including, but not limited to: Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. Other duties as assigned. Important Details: This is a hybrid role on first shift in Oak Brook, IL. The anticipated compensation for this position ranges from $ 100,800 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

**_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 (***************************************************************************************************************************

JobID: 210699258 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $114,000.00-$165,000.00 Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: * Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. * Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. * Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. * Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. * Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. * Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. * Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: * Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. * 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. * Expertise implementing next-gen models using machine learning. * Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. * Problem-solving skills are essential. * Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. * Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.

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

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.

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.

DATA MODELER: To work with the Dealer Data Strategy team, internal Client groups, and Client dealers to strategically build out the Global Dealer Common Data Model (GD-CDM), help dealers align with the GD-CDM, improve data quality and governance across the enterprise, and help dealers and Client collaborate to deliver significant business value from their data. Typical Day Work with the Dealer Data Strategy (DDS) team, internal Client groups, and Client dealers to identify, understand, and document use cases and business requirements for dealer, enterprise, and industry data that will deliver significant business value to the enterprise. Develop value stories and empower and coach Client and dealer leaders to tell the story of the value of data they are delivering to their business using the GD-CDM. Collaborate with Client groups, Client dealers, and third-party vendors to identify and build analytics, applications, and integrations on top of the GD-CDM that deliver significant business value. Collaborate with the DDS team to design logical and physical data models to deliver data that will create significant business value. Work with Client counterparts to map data from the GD-CDM to the Client internal data repository. Create and maintain documentation for the data dictionary, data interfaces, data governance, dealer data flows, and more. Help build the GD-CDM knowledge repository. Provide consultation on use of data to other groups within Client and to Client dealers. Work with the DDS team, along with the Client Data Governance Office, to define, document, and implement data governance and change management standards and processes and work with dealers and Client teams to ensure all parties understand and are in alignment with those standards. Facilitate the use of a common language and understanding of the data between dealers and Client teams. Participate in requirements for any enhancements to the data management systems. Create metrics reporting on data management activities as defined. Monitor and act on any workflow requests for new, changed, or removal of data. Interact with people from multiple business areas to determine the correct actions for data changes. This may require scheduling meetings or escalating questions or concerns appropriately. Help create leadership presentations and interact with leaders in setting direction for data management needs. Define data best practices and governance standards including validation approaches to create, monitor, and maintain data quality. Refine the data management strategy and define continuous improvement goals of data quality, governance, and processes. Create SQL queries, analyze the results, and review and resolve any concerns with dealers to validate the data between source and target databases to ensure data quality. Execute maturity assessments of the data quality on a defined frequency. Identify missing or incorrect data and data standards. Flexibility to occasionally attend early morning or evening virtual meetings with dealers around the globe. Availability to occasionally travel. Be able to prioritize work to achieve business goals. Education Requirements: Four-year degree from an accredited college or university, preferably in an IT-related discipline and 10+ years of data experience Technical Skills 10+ years of experience in strategic development to identify and build business value from enterprise data 10+ years of SQL query writing and data analysis experience (particularly with Azure SQL Database, Snowflake, and/or AWS Redshift) 10+ years of data management experience (master data, metadata, data architecture, data governance) 7+ years of data modeling experience with Erwin 7+ years of experience in data quality and ETL QA testing 5+ of progressively responsible project management, team leader, or technical leadership experience 3+ years of experience in change management and release cycles in a large enterprise TECHNICAL SKILLS TOP CANDIDATES WILL ALSO HAVE: Experience with Microsoft''s ADRM industry data models and/or the Cloud Information Model is highly desirable Soft Skills Candidates need to be pro-active in gathering business requirements for projects Demonstrated proficiency in leading and facilitating meetings Strong project management, team leadership, analytical, and problem-solving skills Proven ability to build trust through effective team relationships Excellent interpersonal skills to deal with sensitive issues, develop others, or influence others inside and outside the department to take specific actions Strong written and verbal communication skills capable of communicating with senior management, business subject matter experts, and technical experts and documenting their requirements clearly Self-starter, independent, and well-organized worker Strong business acumen Travel Requirement: 0-25% Peoria, IL Dealer locations

Job Description 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

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._ **Job Summary:** As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. **What You Will Do:** + Responsibilities of the incumbents are across functional lines with individuals assigned in new program development. + Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work. + Works directly on complex application/technical problem identification and resolution. + Interpreting design requirements for engineering implementation + Building and deploying CICD pipelines + Implementing source to target mapping as pipeline code + Responsibility for Unit and Integration testing + Maintains high standards of software quality within the team by establishing good practices and habits + Identifies and encourage areas for growth and improvement within the team + Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time. **What You Will Have:** + **Decision Making and Critical Thinking:** Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. + **Effective Communications:** Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. + **Software Development:** Extensive knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements. + **Software Development Life Cycle:** Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace. + **Software Product Design/Architecture:** Knowledge of software product design; ability to convert market requirements into the software product design. + **Software Product Technical Knowledge:** Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products. + **Software Product Testing:** Extensive knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements. **Considerations for Top Candidates:** + Extensive software development experience and solid working knowledge of OOP principles. + Knowledge and experience with Embedding Models and Concepts for effectively chunking data + Extensive experience working with Git version control + Exceptional communication skills with experience working on a cross functional teams. + Extensive experience deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc. + Extensive experience in designing and developing software applications in Python. + Experience with AWS components such as Bedrock, Lambda, Dynamo, Fargate, S3, Sagemaker, IAM and RDS + Experience with relational and/or no SQL databases such as PostgreSQL, DynamoDB, MongoDB, Oracle, etc. + Knowledge and experience with AI technologies such as NLP, LLM, RAG, LangChain frameworks, etc + Experience working with NVIDIA Jetson or Orin hardware platforms, particularly in the context of AI model deployment + Hands-on experience with NVIDIA NeMo or NVIDIA NIM (Inference Microservices) for hosting embedding models + Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends. **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:** $112,710.00 - $183,140.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** **Posting Dates:** January 5, 2026 - January 19, 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 (*********************************************** .