Senior data scientist jobs in Youngstown, OH

Must Haves: Bachelor's degree in Data Science, Marketing Analytics, Statistics, Math, Business Analytics, or related field, or in lieu of related degree, at least 7 years of experience in AI, Data Science, or related field 3+ years of AI and Machine Learning 5+ years as a Data Scientist Knowledge of machine learning algorithms, statistical models, and data mining techniques Experience in designing and implementing data-related AI solutions for complex business problems Excellent communication and stakeholder management skills, with the ability to present technical ideas and results to non-technical audiences Plusses: Local to Cleveland Day to Day: Insight Global is seeking a Data Scientist in Cleveland, OH. This person will analyze large amounts of complex data to extract insights and drive decision-making through data visualization tools and presentation. They will design, develop and program methods, processes, and systems to consolidate and analyze structured, unstructured, and diverse “big data” sources to generate actionable insights and solutions for marketing groups. They will also interact with marketing teams to identify questions and issues for data analysis and experiments. Lastly, they will develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. Compensation: $120,000 to $135,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

The Senior Data Engineer is responsible for modeling complex problems, building pipelines, maintaining ETL processes and troubleshooting issues within a cloud environment. They utilize cloud databases, Databricks and databases to support a robust infrastructure which drives large, revenue generating data strategies. Additionally, the Senior Data Engineer suggests architecture ideas, works closely with architects and assists junior engineers with their tasks/approaches. Essential Duties And Responsibilities Participate in use case feasibility discussions and translate business idea / business problems into use cases. Provide support as needed to maintain and update models running in production environment. Develop and maintain complex ETL processes and algorithms Own and enhance ETL processes to move data from PMS to cloud databases Monitor and troubleshoot processes on a daily basis Document new and existing processes Proactively and independently identify performance issues and recommend enhancements Modernize legacy data models and pipelines using ETL tools and cloud database capabilities. Work closely with Chief Architect to make improvements and larger architectural changes Recommend or suggest improvements to the existing architecture. Support junior team members with technical questions, code reviews and code enhancements. Understand business problems/needs and provide proposed solutions. Qualifications KNOWLEDGE & REQUIREMENTS Required Qualifications Be able to work well with people of various backgrounds and education levels and establish cooperative working relationships with all coworkers. Timely and effectively communicate information to and consult with others in order to complete work assignments. Act in a responsible, trustworthy and ethical manner that considers the impact and consequences of one's actions or decisions. Communicate ideas, thoughts, and facts in writing through the use of proper grammar, spelling, document formatting and sentence structure. Identify and respond to current and future clients' needs; provide excellent client service. Evaluate and analyze problems or tasks from multiple perspectives; adaptively employ problem solving methods to find creative or novel solutions; use logical, systematic and sequential processes to solve problems. Complete assigned job tasks in an accurate and timely manner. Carefully prepare for meetings and presentations; follow up with others to ensure that agreements, tasks or commitments have been fulfilled. Demonstrate commitment to achieving Company's core business objectives of increasing the role of pharmacy and improving patient health in America. Desirable Qualifications Experience working with healthcare technology. Experience resolving issues that do not have clear answers. Experience with machine learning and applied statistics Experience with Java and Springboot Thorough experience with Databricks, Glue, Talend, Informatica or other similar ETL tools. Experience working in cloud databases (Redshift, BigQuery) Highly motivated and possessed excellent interpersonal, problem solving, and technical skills. High sense of urgency and accountability Adaptable, friendly, and ability to work with a team. Passion for data and digging into the minutia of datasets. Take calculated risks based on data-driven analytics A self-starter and enjoys working in a fast-paced environment Education & Experience Requirements Minimum years of work experience: 7 years 6+ years of data analysis experience Expertise in algorithm design, machine learning, and applied statistics Proven track record in use of SQL specifically in cloud databases and working with data including extracting information, validating data, creating and maintaining custom data structures Minimum level of education or education/experience: Bachelors Degree in Bachelor's degree in Business, Computer Science, Information Systems or equivalent combination of education and experience. Experience resolving issues that do not have clear answers. Excellent attendance Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Frequent sitting in stationary position at a desk Occasional standing, walking, stooping, kneeling, squatting, and climbing stairs Occasional twisting of body Occasional reaching by extending hands and arms in any direction Occasional lifting, pulling, or pushing What's In It For You? Medical, Dental and Vision Plans Voluntary Benefits HSA & FSA Fertility & Family Planning Benefits Paid Parental Leave Adoption Assistance Program Employee Resource Groups Flex PTO for Exempt Associates & up to 15 PTO days in first year of employment for non-exempt associates 11 Paid Holidays Corporate Wellness Program 401k Employer Match & Roth Option Available - immediate eligibility

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

Senior Data Engineer Type: Full-Time, Direct Hire We are seeking an experienced Senior Data Engineer to drive the strategy and execution of how manufacturing data is gathered, organized, and visualized. This role will influence the full data lifecycle-capturing signals from equipment and systems, transforming high-volume operational data, and making it available through reliable, insightful analytics. This is a highly collaborative position that partners with operational leaders, engineering teams, and IT stakeholders. You will architect scalable data flows, enhance time-series data performance, and deliver dashboards that support operational excellence and continuous improvement. If you enjoy leading technical initiatives in environments that value precision, innovation, and efficiency, this role offers strong impact and ownership. Key Responsibilities Build and maintain configuration frameworks for collecting alarms, events, historian data, and other manufacturing data streams. Engineer SQL-driven data pipelines to extract, process, and standardize raw operational data. Define and govern metadata structures to preserve accuracy, traceability, and context. Oversee administration, performance tuning, and reliability of reporting and BI platforms. Collaborate with internal teams and external vendors to strengthen analytics and data infrastructure. Develop intuitive dashboards and reporting tools that support frontline and leadership decision-making. Lead cross-department data initiatives, particularly during facility expansions, system upgrades, or large-scale process changes. Convert operational requirements and stakeholder input into detailed technical solutions. Work with compliance and quality teams to ensure all data solutions meet regulatory and internal guidelines. Qualifications Bachelor's degree in a technical discipline such as Computer Science, Engineering, or Information Systems. At least 8 years of experience in data engineering, industrial data systems, or automation technologies. Deep expertise in SQL, data modeling, and time-series architectures. Hands-on experience with analytics platforms such as Power BI, Tableau, Spotfire, or equivalent tools. Strong familiarity with manufacturing data ecosystems and operational technology environments. Demonstrated ability to lead projects and coordinate across technical and business teams. Exceptional communication, documentation, and stakeholder-facing skills. Ideal Traits for Success Ability to conceptualize end-to-end systems and understand how data flows impact the broader manufacturing landscape. Highly collaborative mindset with the capability to guide diverse teams toward common objectives. Proactive approach to identifying process gaps, improvement opportunities, and potential innovations. Skilled at reducing complex technical concepts into clear, concise explanations. Balanced perspective-rigorous in technical execution while focused on measurable outcomes.

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

Job Title: Sr. Cloud Data Engineer Duration: 12 months+ Contract Contract Description: Responsibilities: Maintain and optimize AWS-based data pipelines to ensure timely and reliable data delivery. Develop and troubleshoot workflows using AWS Glue, PySpark, Step Functions, and DynamoDB. Collaborate on code management and CI/CD processes using Bitbucket, GitHub, and Bamboo. Participate in code reviews and repository management to uphold coding standards. Provide technical guidance and mentorship to junior engineers and assist in team coordination. Qualifications: 9-10 years of experience in data engineering with strong hands-on AWS expertise. Proficient in AWS Glue, PySpark, Step Functions, and DynamoDB. Skilled in managing code repositories and CI/CD pipelines (Bitbucket, GitHub, Bamboo). Experience in team coordination or mentoring roles. Familiarity with Wealth Asset Management, especially personal portfolio performance, is a plus

Senior Analyst, HR Data Analytics The Christ Hospital Health Network The Christ Hospital Health Network, a leading Cincinnati-based healthcare system known for its commitment to excellence in patient care, seeks an accomplished Senior Analyst, HR Data Analytics to advance the organization's capability to transform workforce data into predictive, evidence-based insights. The Senior Analyst plays a pivotal role in transforming HR data into actionable information that drives strategic decision-making. This individual contributor, hands-on role combines advanced analytics, HR technology, and data science techniques with a deep understanding of HR metrics and organizational behavior. The successful candidate will optimize data systems, ensure data integrity and accuracy, and provide leaders with meaningful analysis that influences talent, engagement, and performance outcomes. Key Responsibilities Develop predictive analytics models and algorithms to identify workforce patterns and forecast outcomes such as turnover risk, performance trends, and engagement dynamics. Apply regression analysis and correlation modeling to uncover relationships between demographic, behavioral, and sentiment data. Design and implement self-correcting data quality control mechanisms to continuously verify, validate, and enhance data accuracy and integrity throughout the workflow. Leverage Agentic AI data analysis to automate data synthesis, aggregation, cleansing, validation, and verification processes, ensuring consistently high data quality and actionable insights to guide and inform leadership decision making. Build and maintain dashboards and data visualizations that translate complex analyses into executive level data reports. Partner with HR, IT, and business stakeholders to ensure data consistency, integrity, and proper governance across all systems and data sources. Create models that link workforce behaviors and outcomes (e.g., retention, productivity, engagement) to measurable business results. Stay current on emerging analytics technologies including machine learning, generative AI, and predictive modeling, and recommend opportunities to apply them within HR analytics. Qualifications Bachelor's degree in data analytics, statistics, computer science, or a related quantitative discipline (advanced degree preferred). 7+ years of experience in data analytics or data science, ideally with exposure to HR or workforce analytics. Demonstrated proficiency in regression modeling, correlation analysis, and algorithm development, with the ability to translate findings through compelling data visualization and storytelling. Strong understanding of data governance, accuracy controls, and validation frameworks. Experience in AI-driven data quality automation, autonomous data orchestration tools, and emerging Agentic AI applications. Familiarity with Oracle Fusion data intelligence and related enterprise analytics ecosystems. Ability to communicate complex quantitative insights clearly to non-technical audiences and senior stakeholders. Core Competencies Analytical Rigor: Uses advanced statistical techniques to uncover patterns and predict outcomes. Data Integrity Focus: Designs systems that self-monitor, validate, and maintain clean, accurate and high reliability data. Technical Agility: Leverages emerging AI and automation technologies to improve analytics precision and scalability. Data Storytelling: Converts quantitative findings into compelling narratives that drive decision-making. Collaboration: Partners effectively with HR, IT, and business functions to align data strategy with organizational goals. Innovation: Explores and implements new data science methods to enhance workforce understanding and predictive capability.

This role will leverage advanced analytics, machine learning and data wrangling techniques to influence, shape and interact with our customers across marketing and merchandising. You will create predictive and prescriptive models that reaches millions of customers. You are a passionate individual with a knack for discovering solutions hidden in large data sets, working with a wide range of stakeholders, and building personalized experiences at scale. Job Description * Experience Required: 5-10+ years combined full-time experience in data science, customer analytics or machine learning; * 7+ years of experience using advanced algorithms, programming languages (Python, R, SQL), or technologies in the development of technical analytics solutions or capabilities; * 7+ years of experience analyzing/modelling very large datasets and dimensionality reduction; * 7+ years of experience in SQL, data wrangling and feature engineering * Experience Desired: Large databases; Passionate about data, SL/ML; Understanding of AI algorithms; Strong business acumen to link analysis to business impact * Education Desired: Bachelors Degree in Mathematics, Statistics, Analytics, Data Science or related discipline * Experience Required: Demand planning, inventory forecasting, inventory planning * Nice to have retail experience industry. Job Responsibilities * Develop data science project architectures to enable large-scale solutions * Support marketing initiatives with data-driven recommendations on audience, market, and item selection * Maintain and automate data science solutions and common code bases for repeatable tasks * Support new and current team members in being onboarded to GE data and Databricks * Assist in evaluation of potential DS consultants/partners * Implementation of item/location level demand planning to ensure efficient supply chain and holding power * Responsible with supporting the delivery of desired in stock levels while hitting financial targets About Us At Giant Eagle Inc., we're more than just food. We're one giant family of diverse and talented Team Members. Our people are the heart and soul of our company. It's why we strive to create a nurturing environment that offers countless career opportunities to grow. Deep caring and solid family values are what makes us one of the top workplaces for jobs in the Greater Pittsburgh, Cleveland, Columbus and Indianapolis Areas. From our Warehouses to our grocery Stores and through our Corporate office, we are working together to put food on shoppers' tables and smiles on their faces. We're always searching for the best Team Members to welcome to our family. We invite you to join our Giant Eagle family. Come start a lasting career with us.

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and executes solutions form initial concept to fully tested production and communicates results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making. Mentors fewer senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments. Provides consultation to senior leadership on a normal basis. Performs other duties as assigned. Requirements Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics, or related quantitative field plus 5 years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics. The employer will alternatively accept a Master's degree in data science, computer science, applied mathematics, data analytics, statistics, or related quantitative field plus 3 years of experience in the job offered or 3 years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics in lieu of a Bachelor's plus 5 years. The position requires experience with: Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication skills. Proven leadership skills. Python. Azure Databricks. SQL. Azure DevOps. ETL. Power BI. Regression. GCP. Position allows for telecommuting from home within commuting distance of Moon Township, PA.

Vertiv is seeking a Sr. Data Scientist & Algorithm Developer to lead our Advanced Thermal Controls Algorithm Development efforts. This position understands and follows the new product development process and leads the ideation, design, testing and troubleshooting of Advanced Thermal Controls Logic and Algorithms. The Sr. Data Scientist & Algorithm Developer supports the Global Thermal Management business. This position interacts with and supports Global Design, Test Engineering, Thermal Controls, and Quality teams. Responsibilities: Creating Algorithm test plans and executing the plan either through simulated bench or lab environments. Owner of Thermal Controls Algorithm development, testing and verification in Thermal Controls Labs. Compilation and advanced analysis of test data with a focus on model development. Ideation, development, verification, and handoff of advanced algorithms and logic utilizing AI/ML methods for optimization, conditional based maintenance (predictive diagnostics), and/or operational excellence related to Thermal HVAC equipment to the Thermal Controls Development team. Algorithm scope includes single component, single device, multi-device systems and multi-systems. Familiarity with ML/AI technologies and a solid understanding of machine learning fundamentals, including MLP, CNN, SNN models, normalization and activation functions, forward/back propagation, and associated mathematics. Lab testing for verification of benefits and presentation of these results to the Product Management teams. Assist the Thermal Controls Development team in integrating algorithms into Controls architecture and platforms. Assisting in roadmap generation and resource plans specifically for Thermal Controls Algorithm development. Participates in sustaining activities for existing algorithms including diagnosis and resolution of related defects. Responsible for keeping excellent, organized project records and documentation. Product testing: Unit testing, system integration testing, and field-testing support Leadership: Effective lead engineer, consistent positive attitude, creativity, accepts broad responsibility Other tasks and activities as required by management Requirements: Bachelor's Degree/Master's Degree (MS or higher) or foreign equivalent with strong emphasis on software: Computer Science, Controls Engineering, Data Science/Engineering, Software Engineering, Electrical/Mechanical Engineering; Preferred engineer with PhD and industrial experience. At least 5 years related experience Required expertise with HVAC, data manipulation and algorithm design: HVAC experience (5 years) Experience with data manipulation, data modeling and analysis Experience with real HVAC testing (propose, execute, evaluate) Experience with control design, numerical optimization, machine learning, artificial intelligence Experience with development and implementation of complex mathematical algorithms Preferred expertise with software programming languages including but not limited to: Matlab, Simulink, Python, C/C++ MySQL Server, SQL TensorFlow, Keras, Scikit-learn, PyTorch, Nvidia AI Labs LabView and associated Data Acquisition systems and protocols Familiarity with software development environments and tools: Git, GitHub, GitLab, Rally, Code Composer Studio™ IDE, ST32CubeIDE™, and Eclipse IDE toolsa plus Fluent in English Up to 10% travel The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES • Customer Focus • Operational Excellence • High-Performance Culture • Innovation • Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First Mindset • Think Big and Execute • Lead by Example • Drive Continuous Improvement • Learn and Seek Out Development About Vertiv Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to ********************.

What Timken makes possible begins with you. Those who came before us helped land a man on the moon, create the world's infrastructure, and introduce renewable energy alternatives. Now you can join the Timken team to write your own unique story and help drive what's next. A career at Timken means you can have an immediate impact doing Work That Matters to the world- improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries and start helping our customers push the limits of what's possible in their world of motion. What We Offer Comprehensive Benefits Package: Medical (including Fertility coverage), Dental, Vision and additional Supplemental Benefits including Pet Insurance, Identify Theft Protection, Legal Assistance and many more We Invest in your Future: 401(k) Savings Plan with company match up to 4.5%, 100% vested in both employee and company-matching contributions, you may also be eligible for additional quarterly company contribution depending on your location State of the Art Facility: Enjoy on-site amenities such as cafeteria, gym, health clinic, walking paths and ergonomic support Work-Life Balance: Timken supports work-life balance through 10 paid holidays, a generous vacation plan and access to our Employee Assistance Program. We also offer Paid Parental Leave up to 12 weeks 100% paid for birth parent and up to 6 weeks 100% paid leave for the non-birth parent and adoptive parents Life-Long Learning: Competitive Educational Reimbursement Program, 24/7 access to thousands of personal and professional online development resources with best-in-class tools, learning offerings, and professional certification courses Purpose: The HR Data Scientist will combine advanced analytics with technical expertise to transform HR data into meaningful insights that drive strategic workforce decisions. This role will not only design predictive and prescriptive models but also partner with data engineering resources to optimize data pipelines, ensure data quality, and support seamless integration of HR data into enterprise data platforms. The position sits within the HR Systems team, ensuring that HR data science is closely aligned with business priorities and future-ready technology initiatives. Responsibilities: Data Architecture & Pipeline Development Prepare, cleanse, and transform HR data for modeling and analytics. Design and maintain reusable HR datasets to support reporting, dashboards, and advanced analytics. Contribute to automation of HR reporting and analytics workflows. Partner with data engineering resources to optimize HR data pipelines and integrations Develop data models and ensure integration of HR data into enterprise-wide reporting and analytics. Implement best practices for data storage, processing, and scalability. Data Quality, Security & Compliance Establish data validation, cleansing, and monitoring processes to ensure accuracy, timeliness, and consistency of HR data. Maintain compliance with global HR regulations (GDPR, CCPA, etc.) and internal audit requirements. Implement and monitor data governance and security standards. Innovation & Enablement Partner with HR and IT teams to identify opportunities for automation, AI enablement, and advanced analytics. Drive innovation by exploring emerging data technologies and recommending adoption strategies. Develop predictive, prescriptive, and statistical models for HR use cases. Provide technical expertise to ensure HR data can be effectively leveraged by analysts, data scientists, and business users. Collaboration & Cross-Functional Support Work closely with HRIS, HR Analytics, and IT to align data strategies and ensure interoperability of systems. Provide technical guidance and function as a subject matter expert on HR data engineering. Support reporting teams by enabling access to curated, trusted HR datasets. Qualifications and Functional Skills: Bachelor's degree in Data Science, Data Engineering, or related field with 5+ years of relative experience. Master's degree preferred, with 3+ years of relative experience. Strong experience with data pipeline development and ETL/ELT processes. Firsthand experience with Azure Data Factory, Azure DevOps (CI/CD pipeline development & deployment), Databricks, and cloud-based data engineering tools. Proficiency in SQL and Python. Knowledge of data modeling, database design, data lakehouse concepts, and data warehousing best practices. Solid understanding of data governance, data quality, and security standards. Familiarity with HR systems and data, ideally SAP SuccessFactors or comparable HCM platforms. Ability to translate HR process knowledge into data engineering solutions. Exposure to Power BI or other business intelligence tools (preferred, not required). Understanding of machine learning techniques (regression, classification, clustering, forecasting). Experience enabling data availability for analytics and reporting teams. Strong analytical and problem-solving capabilities. Ability to translate technical results into business insights. Excellent communication and data storytelling skills for technical and non-technical audiences. Collaborative mindset to work across HR, IT, and enterprise data teams. All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences, and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status, or any other basis protected by applicable law.

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.

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. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **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 technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 ************************** .

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

We are 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

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.

Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies. KNOWLEDGE/SKILLS/ABILITIES * With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data management, data analysis, and reporting * Extracts and compiles various sources of information and large data sets from various systems or applications * Set up process for monitoring, tracking and trending information and data using various systems or applications * Prepares well-organized, easily understood reports, analysis, and summary of findings for use by management * Assists in preparation of regularly produced reports to support executive decision-making * Researches and analyze report results identifying opportunities and trends * Works with internal, external and enterprise individuals as needed to research, develop, and document new standard reports or processes * Consolidates data from multiple sources, using industry-based tools or manually; able to process data effectively using Microsoft Excel * Supports management and other team members as requested on all things data related. * Supports Operations and Implementations of special projects * Responsible for analytics and reporting, acting as a Jr Project manager to oversee vendor implementations, coordinating data extractions, gathering requirements, supporting payment integrity teams, primarily fraud, waste and abuse. * Experience working on SQL, PowerBI, databricks. * Experience on ETL , healthcare specifically claims is highly preferred. JOB QUALIFICATIONS Required Education Associate degree or equivalent combination of education and experience Required Experience 3-5 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 5-7 years To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $77,969 - $141,371 / ANNUAL * Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. About Us Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.