Data scientist jobs in Youngstown, OH - 1,199 jobs

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Pride Health is looking a Data Governance & Metadata Analyst to support our client's medical facility which in Philadelphia, PA (Onsite) Title :: Data Governance & Metadata Analyst Duration :: 10 + Month Contract with possibility of extension depends on your performance Rate :: $70 to 80/hr Job Summary: General Description: We are looking a highly skilled Data Governance & Metadata Analyst to serve as a liaison between technical teams and business stakeholders. This role is responsible for translating complex technical concepts related to metadata, governance, and reporting into clear, business-friendly documentation for the enterprise data catalog (Gene). The ideal candidate will support metadata completeness, advance governance initiatives, and improve transparency across core data domains Key Responsibilities Data Documentation & Translation Interpret and simplify complex technical concepts related to data assets, data lineage, reporting logic, and transformations for inclusion in the enterprise data catalog. Translate technical data rules into clear, actionable language for business and operational teams. Consolidate and summarize data rules for core domains (e.g., patient, provider) to ensure easy access for stakeholders. Create clear, user-friendly documentation explaining complex data processes in business terms. Define documentation standards and certification processes to ensure data quality and reliability. Ensure consistency, accuracy, and completeness of metadata and definitions across the data catalog. Metadata & Catalog Management Partner with Data Engineering and Data Analytics teams to document core and semantic tables in production. Identify gaps in existing metadata and collaborate with stakeholders to remediate them. Support enterprise metric documentation, including: Identifying and documenting enterprise metrics Creating frameworks to link related or similar metrics Retiring or remediating metrics without defined ownership Data Governance & Compliance Support data governance initiatives by maintaining transparency and traceability in data documentation. Collaborate with Research and Privacy teams to document PHI and PII handling guidelines for external data sharing. Create and maintain data policies for restricted data across the enterprise ecosystem. Partner with stakeholders to support and operationalize Data Retention policies in alignment with enterprise standards. Develop artifacts and documentation that make enterprise data initiatives accessible to both technical and business teams. Ensure governance policies are actionable, consistently applied, and linked to global enterprise policies. Required Skills & Qualifications Strong understanding of data management principles, including metadata, data quality, and reporting concepts. Proven ability to translate technical concepts into clear, concise, business-friendly documentation. Excellent communication and collaboration skills to work across technical and non-technical teams. Experience writing high-quality technical and business documentation. Bachelor's Degree (required). Benefits Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Equal Opportunity Employer As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

AI Meets Insight-Data Science at Its Best! Title: Principal Data Scientist - AI Recruiter: Sonya Fischesser Salary range: $150-170K base American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion. Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home. Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key leadership role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a senior member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making. You will collaborate with senior stakeholders to identify complex business problems, develop tailored solutions, and implement advanced statistical and machine learning techniques to drive business outcomes. With a focus on strategic leadership, innovation, and collaboration, you will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. You will be expected to stay at the forefront of industry trends and advancements in AI/ML, and to leverage this expertise to drive business innovation and growth. We are looking for a data scientist with proven expertise in leading AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making. Purpose: Use data and statistical analysis to drive business decisions and target improved results across various functional areas. Roles & Responsibilities: * Lead development and execution of AI/ML strategy. * Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes. * Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks. * Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. * Work closely with data engineering teams to design and implement data pipelines and architectures. * Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects. * Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested. * Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability. * Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments. * Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. * Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general. * Create and maintain modeling best practices and new techniques in coordination with internal and external business partners. * Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language. * Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed. * Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction. Required Technical Skills: * Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn. * Experience with other programming languages, including R. * Deep understanding of AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience with Databricks or similar big data platforms is highly desirable. * Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus. * Strong understanding of data structures, algorithms, and software design patterns. * Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies. * Strong commitment to testing, validation, and continuous improvement of models and workflows. * Experience with MLflow, including model management, versioning, and deployment. Skills / Knowledge / Experience: * Leads a team that completes modeling projects and statistical analysis * Effectively communicate results to business partners and help drive business decisions * Participate in creation and discussion of best practices and propose new techniques * Assist in managing projects and directing work of more junior team members * Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry Education, Certifications & Designations: * Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: * Two options for your health insurance plan (PPO or High Deductible) * Prescription drug coverage (included in your health insurance plan) * Vision and dental insurance plans * Short and Long Term Disability coverage * Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children) * Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity) In addition to the above insurance offerings, our employees also enjoy: * A robust 401k plan with up to a 5% employer match * A retirement savings plan that is 100% company funded * Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries * Eligibility to receive a yearly bonus as a Munich Re employee * A variety of health and wellness programs provided at no cost * A hybrid environment that gives you a choice in where and how you get work done * A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop * An on-site complimentary workout facility as well as walking trails on campus grounds * On-site wellness center complete with nurse practitioner * Financial assistance for adoptions and infertility treatment * Paid time off for eligible family care needs * Tuition assistance and educational achievement bonuses * Free parking * A corporate matching gifts program that further enhances your charitable donation * Paid time off to volunteer in your community At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Applicants requiring employer sponsorship of a visa will not be considered for this position. #LI-SF1

The Program Integrity Data Scientist II is responsible for developing, implementing, managing, and deploying in-depth analyses that meet the information needs associated with payment accuracy, anomaly detection, and Fraud, Waste, and Abuse (FWA). Essential Functions: Build concepts as algorithms that identify claims for pre- or post-pay intervention based on probability of fraud, waste, and abuse. Algorithms are implemented into production workflows for action: medical record request and audit, downcode adjustment, denial and remittance communication, etc. Analyze and quantify claim payment issues and provide recommendations to mitigate identified program integrity risks. Identify trends and patterns using standard corporate, processes, tools, reports and databases as well as leveraging other processes and data sources. Conduct outcome analyses to determine impact and effectiveness of corporate program and payment integrity initiatives. Collaborate on the examination and explanation of complex data relationships to answer questions identified either within the department or by other departments as it relates to payment accuracy, anomaly detection, and FWA. Monitoring of and providing explanation of anomalies related to trends associated with the potential for Fraud Waste and Abuse across the corporate enterprise. Collaborate with the Legal Department, generating data and analyses to support Legal proceedings. Develop hypothesis tests and extrapolations on statistically valid samples to establish outlier behavior patterns and potential recoupment. Create, maintain, and communicate an analytical plan for each project. Mine and analyze large structured and unstructured datasets. Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc. Develop visualizations that demonstrate the efficacy of developed algorithms. Provide statistical validation and analysis of outcomes associated with clinical programs and interventions. Collaborate with other teams to integrate with existing solutions. Communicate results and ideas to key stakeholders. Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption. Perform any other job related duties as requested. Education and Experience: Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field required Equivalent years of relevant work experience may be accepted in lieu of required education Three (3) years data analysis and/or analytic programming required Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) preferred Healthcare experience required Competencies, Knowledge and Skills: Proficient in SQL and at least one of the following programming languages: Python / R / RAT STAT Familiarity with SAS is preferred Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications Ability to perform advanced statistical analyses and techniques including t-tests, ANOVAs, z-tests, statistical extrapolations, non-parametric significance testing, and sampling methodologies Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing Proficient in feature engineering techniques and exploratory data analysis Familiarity with optimization techniques and artificial intelligence methods Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies Knowledge of healthcare coding and billing processes, including CPT4, HCPCS, ICD-9, DRG and Revenue Codes preferred Proficient with MS office (Excel, PowerPoint, Word, Access) Demonstrated critical thinking, verbal communication, presentation and written communication skills Ability to work independently and within a cross-functional team environment Licensure and Certification:Working Conditions: General office environment; may be required to sit or stand for extended periods of time Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required Compensation Range: $83,000.00 - $132,800.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package. Compensation Type: Salary Competencies: - Fostering a Collaborative Workplace Culture - Cultivate Partnerships - Develop Self and Others - Drive Execution - Influence Others - Pursue Personal Excellence - Understand the Business This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds. #LI-GB1

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: At MGM Resorts International, we're using data and AI to power personalized guest experiences at scale. We're hiring a Principal Data Scientist, Commercial Analytics to serve as a hands-on technical leader, building and deploying AI/ML models that drive personalization, customer analytics, and commercial performance across the enterprise. THE DAY-TO-DAY: * Lead multiple large, complex data science initiatives with minimal supervision * Design, develop, and deploy advanced AI/ML models supporting personalization and commercial analytics * Perform hands-on data science work including data collection, mining, normalization, and feature engineering * Develop predictive and statistical models, including hyper-parameter tuning and optimization * Deploy, scale, and monitor machine learning models in production environments * Partner closely with Engineering and Analytics teams to define data requirements and improve data pipelines * Maintain and enhance CI/CD frameworks for data science and model orchestration * Conduct A/B testing and test-and-learn experiments to optimize key business KPIs * Evaluate model quality, monitor performance, and continuously improve outcomes * Review peer code, write unit tests, and provide technical feedback on modeling and pipeline approaches * Translate complex analytical insights into clear, audience-appropriate presentations for business and executive stakeholders * Collaborate with Marketing, Product, Creative, Strategy, and Customer Engagement teams to drive measurable impact * Support the interview process and technical evaluation of Data Scientist candidates THE IDEAL CANDIDATE: * Bachelor's degree or higher required * 8+ years of prior relevant experience * Expert-level proficiency in Python, SQL, and modern ML frameworks (e.g., Spark, TensorFlow, Keras) * Proven ability to deliver multiple complex projects simultaneously in cross-functional environments * Strong problem-solving skills with a focus on root-cause analysis and practical solutions * Excellent communication and collaboration skills, including presenting to non-technical audiences * Experience building MVPs under tight timelines while maintaining high quality * Background in hospitality, retail, or customer-centric industries preferred THE PERKS & BENEFITS: * Prioritize your wellness, access programs crafted to nurture your mental and physical health. * Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! * Savor delicious meals for free in our employee dining room. * Park with ease-whether you're on or off shift, it's free! * From healthcare to financial support and generous time-off options, we've got you covered. * Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: ************************************************************************** Are you ready to JOIN THE SHOW? Apply today!

We are currently seeking an experienced data scientist to join our AI team who will support and lead data flow, advanced analytical needs and AI tools across Medpace. The AI team utilizes analytical principles and techniques to identify, collate and analyze many data sources and works with teams across Medpace to support efficiency and business gains for pharmaceutical development. The AI Data Scientist will support various projects across the company to bring data sources together in a consistent manner, work with the business to identify the value of AI, identify appropriate solutions and work with IT to ensure they are developed and built into the relevant systems. The team is seeking an experienced candidate to contribute new skills to our team, support team growth and foster AI development. The AI Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports many teams across the business including clinical operations, medical, labs, business development and business operations. The AI Team also works side-by-side with data engineering, business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, or computer science, please review the following career opportunity. Responsibilities * Explore and work with different data sources to collate into knowledge; * Work with different business teams across the company with a variety of different business needs to identify potential areas that AI can support; * Manage the process of working through AI potentials from discovery research to PoC to production with the business teams and supporting tasks for IT developers; * Try out different AI tools to substantiate the potential of its use with the business team; * Translate results into compelling visualizations which illustrate the overall benefits of the use of AI and identify with the business team the overall value of its use; * Develop and map database architecture of methodological and clinical data systems; * Convert business tasks into meaningful developer Jira tasks for sprints; * Support departmental process improvement initiatives that can include AI; and * Participate in training and development of more junior team members. Qualifications * Master's degree or higher in informatics, computer science/engineering, health information, statistics, or related field required; * 2 or more years of experience as a Data Scientist or closely related; * Experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques from other industries); * Advanced computer programming skills (preferred language: Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools. PRINCIPAL DUTIES & RESPONSIBILITIES: * Analyze product reliability requirements * Create predictive models for field performance and product reliability * Assist in design of experiments and analysis to understand impacts of different design decisions and test results * Correlate predictive models with test results and field data REQUIREMENTS: * Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience * 1-5 years of experience * Basic knowledge in power/electrical engineering; AC and DC power * Basic knowledge in large- and small-scale cooling systems * LabVIEW, Python, or other coding and modeling language * Minitab or other statistical software tools * Power BI or other data visualization tools * Travel 15%

Job DescriptionSequoia Financial Group is a growing Registered Investment Advisor (RIA), headquartered in Northeast Ohio, offering financial planning and wealth management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values define how we behave and guide us through the pursuit of our purpose to enrich lives. At Sequoia, our core values are: Integrity. We act in the best interests of others by providing an honest, consistent experience for our clients and team. Passion. We pursue our full potential, seeking to continually enhance and evolve our ability to serve our clients and team. Teamwork. We subordinate our egos to work together for the benefit of our clients. Our promise to team members is that you will grow with us. From experienced advisors to new college grads to transitioning principals, every team member will find Sequoia a place to refine their professional mission, move into new opportunities, go deeper, and lead further. We are built to help you build a career here as a long-term contributor in our work to enrich lives for generations. As we expand our Data & AI Office, we seek a hands-on Senior Data Scientist to help shape our data and AI strategy, drive architectural excellence, and enable scalable, secure, and intelligent AI-first processes. This role is pivotal in supporting our enterprise-wide AI initiatives and AI adoption. Role Overview Lead enterprise-wide AI discovery and predictive modeling to identify high-impact business problems and translate them into production-ready solutions. Build Proof of Concepts (POCs) and Minimal Viable Products (MVPs) using AI/LLMs and data science, operationalize predictive models across Client Experience, Operations, Compliance, and Marketing, and drive a culture of experimentation grounded in measurable ROI and responsible AI. Key ResponsibilitiesDiscovery & Problem Framing Conduct user interviews and journey walkthroughs to surface real problems; apply behavioral insights to translate ambiguous needs into quantified problem statements and value hypotheses. Build prioritization frameworks (impact, effort, risk, data readiness, compliance) and size ROI for use cases. Partner with Finance/PMO to track realized value vs. forecast post-launch Rapid Prototyping & MVP Development Design POCs using LLMs, RAG, prompt engineering, and classical ML; evolve into MVPs with clear success criteria and guardrails. Conduct feature engineering, algorithm selection, and set monitoring plans for drift and bias Package prototypes with evaluation harnesses; enforce clear "continue/pivot/stop" decision gates Enterprise Prediction & Model Development Build and maintain forecasting and propensity models (churn, next best action, AUM growth, advisor capacity, client lifecycle scoring) serving multiple departments. Standardize feature stores across Salesforce and planning/portfolio platforms (Tamarac, Orion, Addepar, Black Diamond) Define SLAs/SLOs, feature refresh cadence, and rollback criteria Decision Support & Operationalization Convert model outputs into actionable artifacts, such as decision playbooks, scenario calculators, dashboards, and alerting rules. Define workflows, leading indicators, and counter-metrics that drive business actions. Create Tableau/Power BI visualizations with clear narratives for non-technical stakeholders. Data Science Culture & Governance Champion MLOps hygiene: versioning, experiment tracking, model cards, and documentation Host office hours and workshops to build data literacy and ethical AI awareness Embed responsible-AI principles, RBAC, and human-in-the-loop controls; coordinate with Legal/Compliance on risk and auditability Rigorously document Workflows and Processes to establish the AI and Data Office for long-term reliability and resilience Model Portfolio Management Maintain a transparent inventory of models and experiments; deprecate low-value assets. Establish prioritization scoring frameworks and publish quarterly roadmap updates. Track portfolio health: use-case progression, realized value, time-to-decision improvements Cross-Functional Partnership Coordinate with data engineering on operationalization and with analytics on KPI alignment. Collaborate with PMO on experiment time-boxing and capacity management Work with vendors on architecture, integration, and build-vs-buy decisions Required Qualifications 7-12 years in data science, ML, analytics, or product discovery Python expertise: pandas, scikit-learn, NumPy; Jupyter notebooks and Git Statistical & ML fundamentals: feature engineering, validation, error analysis LLM & AI proficiency: POC development with prompt engineering, RAG, and classical ML Decision-support framing: translate models into actionable workflows; define KPIs and measure business impact Data governance: Data Dictionary, lineage, RBAC, privacy principles Communication: strong written/verbal skills with technical and non-technical audiences Iterative delivery: comfort with short feedback cycles, A/B testing, and learning from experiments

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

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.

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

Senior Data Scientist, Data Management - Office Based in Blue Bell, PA or Raleigh, NC ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times. We are currently seeking a Senior Data Scientist, Data Management to join our diverse and dynamic team. As a Senior Data Scientist at ICON Plc, you will play a crucial role in leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. You will contribute to the success of our data-driven initiatives by developing sophisticated models, performing in-depth analyses, and guiding strategic decision-making across the organization. What You Will Be Doing: * Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. * Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. * Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively. * Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes. * Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement. Your Profile: * Domain expertise in one or more targeted areas of the Revenue Cycle Management processes * Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data * Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics. * Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses. * Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R. * Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively. * Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization. * Located in or around Blue Bell, PA or Raleigh, NC #LI-MH1 #LI-HYBRID What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: * Various annual leave entitlements * A range of health insurance offerings to suit you and your family's needs. * Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. * Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. * Life assurance * Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Overview Help Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $63,795 to - $164,301 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Fort Richardson, AK Maxwell AFB, AL Show morefewer locations (79) Little Rock AFB, AR Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA El Segundo, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Air Force Academy, CO Buckley AFB, CO Cheyenne Mountain AFB, CO Colorado Springs, CO Peterson AFB, CO Schriever AFB, CO Joint Base Anacostia-Bolling, DC Dover AFB, DE Cape Canaveral, FL Cape Canaveral AFS, FL Eglin AFB, FL Homestead AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Hickam AFB, HI Mountain Home AFB, ID Scott AFB, IL Grissom AFB, IN Barksdale AFB, LA Hanscom AFB, MA Westover Air Reserve Base, MA Andrews AFB, MD Linthicum Heights, MD Selfridge ANG Base, MI Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks, ND Minot AFB, ND Offutt AFB, NE New Boston, NH McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Youngstown, OH Youngstown, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston, SC Shaw AFB, SC Arnold AFB, TN Dyess AFB, TX Fort Sam Houston, TX Goodfellow AFB, TX Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Alexandria, VA Arlington, VA Dahlgren, VA Fort Eustis, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 852876400 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. * Carry out special projects designed to facilitate the full use of the interns training and development. * Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. * Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments is required Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below. GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): * Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes. * Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques. * Knowledge of analytical techniques to develop, stimulate, and analyze data. * Ability to communicate effectively both orally and in writing. * Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on

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 (***************************************************************************************************************************

Job Description Join a fast-paced and energetic workplace where you can build a rewarding career! With more than 40 years of transportation experience, PGT Trucking Inc. is a leader in flatbed shipping solutions with the best drivers, mechanics and office talent in the industry. If you are interested in becoming part of our team, there are a few things you should know: You will have PURPOSE. Transportation and logistics are critical to the economy, to commerce and to society; and every person working in the supply chain plays a vital role. You will GROW. Your job will expose you to areas outside of your comfort zone, like economics, mathematics, technology, international law and customer relations. PGT offers in-house training programs and supports education to evolve your role. You will be CHALLENGED. No two days are the same in the transportation industry, and the dynamic nature of the work makes for a challenging and fulfilling career. Did we spark your interest? Read on and learn more about this role: How YOU Will Make an Impact Develop and build skills in various Areas of Focus: Data Analytics, Process Optimization and Supply Chain. Gain understanding of various technologies to further your education: Tableau, SQL, and MS Office tools. Collaborate across departments to support and improve business processes. Transfer existing data into live Tableau dashboards for better decision making. Learn transportation performance metrics and how to analyze data to improve network performance. Support the PGT Analytics team in efforts to meet short-term and long-term project goals. What YOU Need to Succeed Pursuing a degree in one of the following areas: Data Analytics, Supply Chain Management, Computer Science, Mathematics, or a related field. Outstanding team-work and desire to make meaningful contributions. Excellent written and oral communication skills. Ability to handle multiple projects at once and continue to meet deadlines. Proficiency in Microsoft Office and Tableau. The PGT Advantage Mentorship opportunities across the organization In-person working environment Immersive transportation experience with additional training and learning opportunities, including cargo securement training, customer visits, group activities and meetings with PGT Senior Leadership Opportunities to make lasting, real-world impacts Let's put your expertise into action, because whether you are behind the scenes or behind the wheel, it takes a TEAM to keep America moving! We are PGT. Join us! Equal Opportunity Employer PGT Trucking Inc. is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada, excluding Quebec. What your team does: Our data engineering team is driven to deliver an incredible experience to our customers. As a Senior Data Engineer at Clio, you will build data pipelines and data warehouses from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new state of the art technologies, and are motivated by solving complex problems. A day in the life might look like: * Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools * Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific data lakes/data warehouses * Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation * Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven What you may have: * Deep experience in software development as well as data engineering * Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and comfortability with picking up new technologies * Hands-on experience with cloud infrastructure (AWS and Terraform are preferred) * Experience with streaming and batch data tools: Spark, Kafka, Airflow * Advanced data warehousing experience working with Databricks or similar * Experience building data pipelines and the infrastructure required to deploy data models and dashboards that allow data visualization * Exceptional collaboration and communication skills and ability to derive clarity in ambiguous environments * You are an advocate for the data trustworthiness and product excellence of the data platform you build * You are a self-starter and can lead projects with minimum supervision * You enjoy mentoring junior engineers and are invested in their growth What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: * Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. * Flexible time off policy, with an encouraged 20 days off per year. * $2000 annual counseling benefit * RRSP matching and RESP contribution * Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $146,200 to $172,000 to $197,800 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location. * We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers Disclaimer: We only communicate with candidates through ****************** email addresses.

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. **Position Summary** We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. + Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. + Design and architect data infrastructure analytical workloads. **Required Qualifications** + 5+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines. + Strong proficiency in SQL and experience in developing complex queries. + Familiarity with py Spark, DBT, or other similar frameworks. + Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). + Understanding of data warehousing concepts, dimensional modeling, and building data marts. + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. **Preferred Qualifications** + Knowledge of data governance best practices in a cloud environment. + Experience with data design in BigQuery + Experience working with the Epic data model. + Experience working with healthcare data (Claims and Admissions) **Education and Experience** + College degree or certification in related fields **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 02/10/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran - committed to diversity in the workplace.

* Virtual analysis is a critical part of Hendrickson's design and validation process. The Virtual Analysis Co-op supports this process by using Finite Element Analysis to investigate failures modes in custom test fixtures and production products. This is a fantastic opportunity to gain exposure to in depth FEA techniques while seeing their real world applications in a test lab environment. Essential Functions: * Perform FEA in ANSYS to validate custom lab fixtures and production products. * Correlate FEA models to real world test data to increase precision and accuracy of results. * Support FEA engineers by preprocessing geometry for subsequent analyses. * Post process and interpret FEA data. * Design test fixtures to withstand loads, using FEA to ensure durability. * Acquire and analyze test data with a data acquisition system and other means in a lab environment. Education & Training: * Working towards a bachelor's or master's degree in mechanical engineering or a related field. Minimum of a 3.0 GPA. Minimum Qualifications: * Strong knowledge of basic engineering fundamentals including but not limited to statics, dynamics, physics, calculus, and materials is required. * Proficiency in using a CAD software such as SolidWorks or Creo is required. * Proficiency in using a coding language, such as APDL, MATLAB, Python, or C++ is required. * Prior experience with Finite Element Analysis and/or ANSYS is a plus. * Effective oral, written, and PC skills are required, with an emphasis on Excel. * Previous work experience in a test lab, machine shop, or a business setting is a plus. * Excellent interpersonal and collaboration skills required. Physical Demands: * Ability to remain seated at a computer workstation for several hours at a time - brief stretching breaks are encouraged to reduce muscle stiffness and eye fatigue. * Ability to lift and maneuver up to 25lbs with occasional twisting, reaching, and out of position body placement.* * Ability to perform tasks in a heated/non-air-conditioned test laboratory - refreshments provided during hot seasons, regular "breather" breaks are encouraged in the air-conditioned office area * Must be able to wear all required PPE - safety glasses, steel toe boots, and hearing protection when required. * NOTE: None of the physical lifting and manipulation within the job duties is repetitive. Environmental Conditions: * Office setting and R&D lab setting * All necessary PPE (as defined by OSHA) and training associated with such will be provided. Behavioral Traits: * Must be punctual, self-motivated, and willing to learn. Other traits include but are not limited to: * Attention to Detail * Development and Continual learning. * Listening * Safety Focus * Self-management * Researching Information. * This is not a comprehensive list of duties. Duties may change without notice in management's sole discretion. Hendrickson is an at-will employer, each employee is free to resign at any time, just as Hendrickson is free to terminate employment at any time without cause or notice. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.