Senior data scientist jobs in Illinois

This role supports a financial services organization by applying advanced data science and machine learning techniques to solve complex business problems using large-scale datasets. The position focuses on end-to-end feature engineering, model development, and writing production-quality code in a fast-paced, collaborative environment. The individual partners closely with product and engineering teams to uncover trends, improve algorithm performance, and drive data-informed decisions. Key Responsibilities Independently analyze and aggregate large, complex datasets to identify anomalies that affect model and algorithm performance Own the full lifecycle of feature engineering, including ideation, development, validation, and selection Develop and maintain production-quality code in a fast-paced, agile environment Solve challenging analytical problems using extremely large (terabyte-scale) datasets Evaluate and apply a range of machine learning techniques to determine the most effective approach for business use cases Collaborate closely with product and engineering partners to identify trends, opportunities, and data-driven solutions Communicate insights, results, and model performance clearly through visualizations and explanations tailored to non-technical stakeholders Adhere to established standards and practices to ensure the security, integrity, and confidentiality of systems and data Minimum Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, Operations Research, or a related field At least 4 years of professional experience in data science, analytics, engineering, or a closely related discipline Hands-on experience building data science pipelines and workflows using Python, R, or similar programming languages Strong SQL skills, including query development and performance tuning Experience working with large-scale, high-volume datasets (terabyte-scale) Practical experience applying a variety of machine learning methods and understanding the parameters that impact model performance Familiarity with common machine learning libraries (e.g., scikit-learn, Spark ML, or similar) Experience with data visualization tools and techniques Ability to write clean, maintainable, and production-ready code Strong interest in rapid prototyping, experimentation, and proof-of-concept development Proven ability to communicate complex analytical findings to non-technical audiences Ability to meet standard employment screening requirements

Minimum Qualifications: ● 5+ years of experience leading data science projects that have a direct impact on a company's objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science with 3+ years of experience ● 5+ years of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks , LLMs, GenAI tools, and NLP techniques. ● Deep expertise in statistical methods and machine learning concepts, with the ability to mentor team members on methodologies, model tuning, and evaluation techniques. ● 2+ years hands-on experience with deep learning frameworks, LLMs, GenAI tools, and NLP techniques. ● 5+ years of experience using Python to process large, diverse datasets, and develop and deploy predictive models in cloud-based environments and other computing platforms. ● 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.). ● Demonstrated ability to assist business decision-making through data mining and machine learning. ● Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions. ● Ability to translate complex business problems into actionable project plans and solve

Scaylor helps mid-market and enterprise companies make sense of their data. Most teams past $20M ARR are stuck with fragmented systems, old databases, and hundreds of spreadsheets that never quite line up. We build the pipelines that clean, normalize, and connect that data so it can actually be used. Our platform handles everything from parsing financial models and reports to mapping tables across legacy databases and modern APIs. The goal is simple: give companies a single source of truth they can trust. We're a small team of four - one backend engineer, one frontend engineer, and 2 founders. We're looking for our fifth teammate to help us scale the engine behind it all. ⸻ The Role You'll work across data engineering and full-stack development, helping us build reliable data infrastructure that powers real workflows. You'll touch everything from ingestion and transformation pipelines to the APIs and dashboards that surface insights to clients. You'll work directly with the founding team and help make technical decisions that define the next version of Scaylor's core platform. ⸻ What You'll Work On • Build data pipelines that extract, clean, and standardize information from Excel files, PDFs, APIs, and legacy databases • Design schemas and transformation logic for structured and semi-structured data • Develop and maintain backend APIs (Python/FastAPI or Node/Express) for data access and analytics • Help connect backend services to our frontend dashboards (React, Node.js, or similar) • Set up and maintain AWS infrastructure (Lambda, S3, ECS, CloudFormation) • Collaborate with clients to understand their data problems and design workflows that fix them ⸻ You'd Be Great Here If You • Have 3-6 years of experience in data engineering, backend, or full-stack roles • Write clean, maintainable code in Python + JS • Understand ETL, data normalization, and schema mapping • Have experience with SQL and working with legacy databases or systems • Are comfortable managing cloud services and debugging data pipelines • Enjoy solving messy data problems and care about building things that last ⸻ Nice to Have • Familiarity with GCP or SQL databases • Understanding of enterprise data flows (ERP, CRM, or financial systems) • Experience building and deploying containers (Docker, GitHub Actions, CI/CD) • Interest in lightweight ML or LLM-assisted data transformation ⸻ Why Join Scaylor • Be one of the first five team members shaping the product and the company • Work directly with the founder and help define Scaylor's technical direction • Build infrastructure that solves real problems for real companies • Earn meaningful equity and have a say in how the company grows ⸻ Compensation • $130k - $150k with a raise based on set revenue triggers • .4% equity • Relocation to Chicago, IL required

Resource 1 is in need of a Sr. Data Engineer for a full-time/ permanent position with our client in Naperville, IL. Candidate must be local to Illinois because of future hybrid onsite in Naperville expected. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus. This position is focused on building modern data pipelines, integrations and back-end data solutions. Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products. Responsibilities: Design and develop scalable data pipelines for ingestion, transformation and integration using AWS services. Pull data from PostgreSQL and SQL Server to migrate to AWS. Create and modify jobs in AWS and modify logic in SQL Server. Create SQL queries, stored procedures and functions in PostgreSQL and RedShift. Provide input on data modeling and schema design as needed. Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS. Support inbound/ outbound data flows, including APIs, S3 replication and secured data. Assist with data visualization/ reporting as needed. Follow an Agile development methodology, with regular workshops and standup meetings, working in two-week sprints. Qualifications: 5+ years of data engineering experience. Experience with AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Lambda, Spectrum). Strong experience with SQL, Python and PySpark. A background in supply chain, logistics or distribution would be a plus. Experience with Power BI is a plus.

Senior Data Analyst Department: Office of Market Supervision (“OMS”) Reports to: Manager, OMS Status: Full-Time, Exempt Under the supervision of the Manager, OMS, the Sr. Data Analyst will support the Office of Market Supervision (OMS) and Regulation's Market Regulation Center (“MRC”) management, with a focus on the Trading Floor team in particular, related to technical aspects of regulatory-related tools and processes; front-end / application development; report development; data and statistical analysis and reporting; and procedural documentation efforts. Position Duties: Develop a subject matter expert (“SME”) level of BOX facilities' data models, including Consolidated Audit Trail (“CAT”), as sources of Regulation's report generation and query activities. Assist with database creation, performance, and maintenance of SQL Server related to regulatory dashboard application. Develop a detailed level of knowledge of operational functionality and processes related to VIGIL, CAT and other regulatory-related applications. Assist in development of Regulation's Request for Change (“RFC”) and Business Requirements Documentation (“BRD”). Participate in various meetings related to development of Business Requirement Documents (“BRD”) for OMS technology providers and other relevant vendors in coordination with other stakeholders. Perform user acceptance testing of OMS-related system or reporting changes, problem solving of issues with stakeholders and reporting to OMS management. Assist with resolution of CAT reporting issues and data reconciliation issues with BOX Exchange Participant firms. Assist with development and maintenance of accurate and current procedures for assigned functions; create and report updates to OMS management to ensure accurate reflection of processes and controls. Leverage technology to streamline current regulatory operation processes and decrease repetitive tasks in coordination with Regulation staff. Communicate status, issues, and resolutions with interested parties including, but not limited to, Regulation staff, OMS / MRC management, OMS technology providers and BOX Exchange Participants as appropriate. Perform technical-related surveillance reviews including related investigations of identified exceptions as well as support of Trading Floor-related activity investigations. Other responsibilities include compiling, analyzing, or validating data and statistics, and/or assisting with risk assessment and/or audit documentation production, as otherwise assigned by OMS management. Cross-train on floor trade analyst duties for backup coverage purposes. Education: Bachelor's degree in Computer Science, Information Systems, or Data Analytics required. Experience: At least two years of data analytics or similar experience in a regulated environment. Experience designing and developing Power BI reports and dashboards preferred. Job Knowledge and Skills: Experience with Python, SQL, Excel, Microsoft SQL Server Management Studio, Transact-SQL, and Power BI. An aptitude for analytical and problem resolution. Ability to analyze and summarize findings in a clear and concise format. Self-starter, proactive and objective oriented. High level of accuracy and attention to detail. Ability to handle multiple assignments and deadlines. Interpersonal skills to work effectively and collaboratively with persons from diverse backgrounds and at various organizational levels within and outside of BOX Exchange. Target Salary Range: $120,000 - $150,000 if located in Illinois Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program.

requires visa independent candidates. Note: (OPT, CPT, H1B holders will not work at this time) Design, develop, and maintain scalable ETL pipelines using AWSGlue Collaborate with data engineers and analysts to understand data requirements Build and manage data extraction, transformation, and loading processes Optimize and troubleshoot existing Glue jobs and workflows Ensure data quality, integrity, and security throughout the ETL process Integrate AWS Glue with other AWS services like S3, Lambda, Redshift, and Step Functions Maintain documentation of data workflows and processes Stay updated with the latest AWS tools and best practices Required Skills Strong hands-on experience with AWS Glue, PySpark, and Python Proficiency in SQL and working with structured/unstructured data (JSON, CSV, Parquet) Experience with data warehousing concepts and tools Familiarity with CI/CD pipelines, Terraform, and scripting (PowerShell, Bash) Solid understanding of data modeling, data integration, and data management Exposure to AWS Batch, Step Functions, and Data Catalogs

The Data Engineer will design, build, and optimize the data pipelines and models that support the firm's evolving research, analytics, and systematic portfolio construction environment. This role is central to enabling data-driven investment processes, including quantitative research, AI/ML capabilities, and front-office automation. Candidates must have deep expertise with Snowflake, strong SQL skills, and experience integrating diverse datasets used across investment organizations. The role is highly collaborative and requires comfort working in an iterative, fast-moving environment where data needs evolve rapidly based on stakeholder input. Responsibilities Design, build, and enhance ETL/ELT pipelines in Snowflake, ensuring high performance, reliability, and scalability. Integrate internal and external datasets, including pricing, research content, economic releases, market data, and security reference data. Support real-time or near-real-time data flows where needed (e.g., pricing, indicative quotes, market-sensitive inputs). Collaborate closely with Product Leads, Quant Developers, and UI/UX teams to ensure data structures meet the requirements of research workflows, analytical models, and user-facing applications. Partner with front-office stakeholders to rapidly iterate on evolving analytical and data needs. Implement data validation, monitoring, and quality frameworks to ensure accuracy and reliability across critical datasets. Translate prototype pipelines into production-ready workflows with appropriate documentation, standards, and controls. Contribute to data modeling standards, metadata frameworks, and data governance practices across the platform. Requirements 10+ years of data engineering experience within investment management, financial technology, or similar data-intensive environments. Expert-level SQL, including complex queries, schema design, and performance optimization. Deep hands-on experience with Snowflake, including advanced features such as tasks, streams, performance tuning, and secure data sharing. Strong Python capabilities for ETL/ELT development, data processing, and workflow automation. Experience integrating APIs and working with structured, semi-structured, and unstructured datasets. Familiarity with NLP or AI/ML-oriented datasets (e.g., textual research content, PDFs) is a plus. Experience with Domino or willingness to work within a Domino-based model environment. Working knowledge of investment data structures (holdings, benchmarks, pricing, exposures) is highly preferred. Ability to thrive in a rapid prototyping environment with evolving requirements and close partnership with front-office teams.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 47 states in three distinct categories: Dental care, urgent care, and medical aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Animal Hospitals and Chapter Aesthetic Studios. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Senior Analyst, Data & Insights supporting our WellNow Urgent Care brand. This role is responsible for leveraging data and transforming it into insights and reporting that can be utilized across all levels of the organization. This role will be engaged in driving the business both through support of our business partners in both the offices and field teams along with informing strategy for our Executive Leadership Team. Responsibilities As a Senior Analyst, Data & Insights you will be responsible for: Supporting the WellNow brand through the development of a common approach and infrastructure to data sources built to support enterprise-wide reporting Capture and translate business requirements for reporting from executive leadership Developing key data sources in BigQuery through use of SQL, Power BI, or other reporting languages & tools Synthesizing insights from various data sources and presenting data in an easy-to-read manner Become organizational expert on data sources and how to extract data from all systems. Ability to combine multiple data sources; strong attention to detail and data integrity. Work across departments to understand how their work impacts the performance of the business deriving metrics to measure results Identify key opportunities to drive transparency and turn data into insights and action. Leading organization in implementing a standardized, consistent approach to reporting, with a strong focus on user experience to drive usage. Utilizing data to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making. Ad-hoc analytical projects as needed. Minimum Education and Experience BA or BS in Data Analytics, Finance, Business or other degree with equivalent work experience in analysis or insights-based roles. 3+ years of experience in data analytics or similar analysis-driven roles required. Required experience partnering with both key business stakeholders and IT departments. Experience writing in SQL or BigQuery is required. Experience using data visualization software like Tableau or PowerBI is required. Ability to find and query appropriate data from databases, along with validating and reviewing data and reports for accuracy and completion Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Advanced skills with Microsoft Excel and PowerPoint are required. Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $87,500-105k, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match If you are an applicant residing in California, please view our privacy policy here: ********************************************************************************* View CA Privacy Policy

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

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

The Senior Data Scientist, Clinical Data Science (HOS & HRA) plays a key role in advancing analytics that improve Medicare Advantage member outcomes and CMS Star Ratings performance. This position supports the design, implementation, and automation of analytic solutions for the Health Outcomes Survey (HOS) and Health Risk Assessment (HRA) programs-two core domains in Aetna's Medicare clinical strategy. The ideal candidate combines strong technical depth in data science and statistical modeling with the ability to translate complex findings into actionable insights for non-technical audiences. This individual will automate recurring data science workflows, conduct robust impact and descriptive analyses, and collaborate closely with clinical, quality, and operations teams to identify emerging opportunities that improve member experience and population health outcomes. Clinical Data Science & Analytics - Lead the development of analytic models and descriptive frameworks supporting HOS and HRA performance improvement across Medicare Advantage. - Conduct impact analyses, trend identification, and segmentation to explain drivers of performance and inform strategy. - Automate recurring analytics and reporting pipelines to increase reliability, efficiency, and reproducibility of insights. - Apply advanced statistical, predictive, and causal inference methods to evaluate intervention effectiveness and identify member-level opportunities. - Develop and refine tools for data visualization and storytelling to communicate results clearly to non-technical stakeholders. - Partner with business leaders to translate analytic results into actionable recommendations for program design, member outreach, and care interventions. Collaboration & Consultation - Serve as a bridge between technical and non-technical teams, ensuring analytic outputs are interpretable and actionable. - Collaborate cross-functionally with Clinical Operations, Member Experience, and Quality teams to align analytics with enterprise goals. - Support enterprise data modernization and automation initiatives by identifying repeatable use cases for scalable analytics and workflow improvement. - Mentor junior data scientists and analysts on best practices for data integrity, modeling, and automation. Technical & Operational Excellence - Design and maintain automated analytic processes leveraging Python, SQL, and modern cloud environments (e.g., GCP). - Ensure accuracy, consistency, and explainability of models and metrics through disciplined version control and validation. - Contribute to the team's continuous improvement culture by recommending new methods, tools, or data sources that enhance analytic precision and speed. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years of hands-on experience in data science, advanced analytics, or statistical modeling in healthcare, life sciences, or managed care. - Strong proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, statsmodels). - Demonstrated ability to automate data workflows and standardize recurring analyses or reporting. - Experience applying statistical and descriptive analytics to clinical or quality measurement problems (e.g., HOS, HRA, CAHPS, or HEDIS). - Proven success communicating complex findings to non-technical business partners and influencing decision-making. - Ability to work effectively in a fast-paced, cross-functional environment. - Master's or PhD in Data Science, Statistics, Epidemiology, Public Health, or a related quantitative field. - Familiarity with Medicare Advantage, CMS Star Ratings methodology, and clinical quality measures. - Experience working within modern cloud environments (e.g., Google Cloud Platform, Databricks) and with workflow orchestration tools (Airflow, dbt). - Background in impact measurement, causal inference, or time-series analysis in healthcare contexts.

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

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **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:** 12/02/2025 *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. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************

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

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

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

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world._ **Job Summary:** Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. **What You Will Do:** + Experience leading projects and teams to completion. Mentor and provide guidance to other team members. + Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. + Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. + Reporting and presenting team results. **What You Will Have:** + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. + **Analytical Thinking:** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. + **Business Statistics:** Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. **Considerations for Top Candidates:** + Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree + Extensive experience in predictive analytics. Building and implementing machine learning models + Advance experience programming in Python and SQL + Experience with AWS products such as Sagemake, RDS, EC2, S3 **Additional Information:** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. \#LI \#BI (used to post on Built In Chicago) **What You Will Get:** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. **About Caterpillar** Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. **Summary Pay Range:** $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. **Posting Dates:** December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 47 states in four distinct categories: Dental care, urgent care, veterinary care, and medical aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Animal Hospitals and Chapter Aesthetic Studios. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Senior Data Scientist. This role is responsible for transforming raw data from various sources to develop high quality machine learning and forecasting models informing the growth strategy across our brands and for TAG as a whole. Responsibilities As a Senior Data Scientist, you will be responsible for: Model Development Identify opportunities within the business and proactively partner with business leaders to develop models using advanced ML and AI techniques to unlock stronger, more streamlined business performance Build, validate, and deploy predictive forecasting models to predict demand, revenue, and market trends Design and execute A/B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies Apply statistical and machine learning methods to identify patterns, trends, and insights Understand business objectives and translate them into data-driven solutions Gather, clean, and validate structured and unstructured data from multiple sources Conduct rigorous testing of models, ensuring reasonable results and reporting back to leadership on outcomes Model Ownership Monitor and report on model performance Develop recommendations to improve model accuracy Translate complex analytical findings into clear, actionable insights with recommendations to improve performance Partner with leaders in Product, IT, and Brand leadership to implement tools that leverage the models, changing data outputs into a fully functioning product Maintain well-documented, reproducible code and workflows Continuous Learning & Development Stay current with industry trends, tools, and best practices in data science Proactively suggest new approaches and methodologies to enhance decision-making by leadership Collaborate with cross-functional teams (IT, product, finance, operations) evolve data science approaches to integrate the latest business insights and trends Minimum Education and Experience BA or BS in Data Science, Computer Science, Mathematics, or other degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced Degree is preferred. 4-6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning required including experience leading projects Hands-on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data is required. Experience using data visualization software like Tableau or PowerBI is a plus. Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Proven track record of partnering with executive-level audiences to identify opportunities, build out the framework for potential models, and deliver a recommended approach to the business Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $120,000-$140,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly 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:** $123,400 - $176,300 **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:** 02/15/2026 *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. \#LI-Remote _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 (***************************************************************************************************************************