Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The Data Platform team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems. What you’ll be doing (ie. job duties): - Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores. - Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase. - Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms. - Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing. - Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts. What we look for in you (ie. job requirements): - You have at least 5+ years of experience in software engineering. - You have Strong Python, Go, or Java backend development skills. - You have general experience working with data systems or data pipelines. - You are familiar with design patterns such as scale-out, caching, key/value, and columnar. - You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to Have: - Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services Job #: P76780 Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. S4/o9 Manager, Data Job Description Summary You will be crucial in supporting our S4/o9 program and business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to govern, maintain and use data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). More about this role Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

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 The Provider Data Services Specialist for the Claim Pend team, is responsible for researching, analyzing, and resolving provider-related claim pends to ensure timely and accurate claims adjudication. This role focuses on resolving pended claims caused by provider data, contract, affiliation, or configuration of issues within claims and provider systems. The analyst partners closely with internal Provider Data, Claims, Quality, and Implementation teams to reduce inventory aging, meet turnaround time (TAT) requirements, and maintain compliance with state Medicaid guidelines. Key Responsibilities - Research and resolve provider-related claim pends using internal systems (e.g., claims and provider modules). - Analyze pend root causes related to provider enrollment, contracting, affiliations, specialties, pay-to relationships, and configuration issues. - Update provider records and/or route claims appropriately to allow claims to continue through adjudication. - Apply state-specific Medicaid requirements and business rules when resolving claims. - Document actions clearly and accurately in claim memos and tracking tools. - Manage assigned inventory daily, prioritizing aged and high-impact claims to meet established TAT and productivity standards. - Identify trends in pended claims and escalate systemic issues to leadership or appropriate partners. - Collaborate with Provider Data, Claims, Quality, Automation (BOT), and Implementation teams to improve workflows and reduce repeat pends. - Support audit and quality review activities by providing documentation and responding to findings. - Follow established procedures, job aids, and compliance standards. Required Qualifications - 1–3 years of experience in healthcare operations, claims processing, provider data, or related roles. - Strong analytical and problem-solving skills with attention to detail. - Ability to interpret policies, procedures, and state-specific Medicaid requirements. - Proficiency in navigating multiple systems and tools simultaneously. - Strong written communication skills for documentation and claim memo entry. - Ability to manage workload independently in a production-driven environment. Preferred Qualifications - Experience working claim pends, provider data, enrollment, or contracting issues preferred. - Experience supporting Medicaid or government programs. - Familiarity with provider data systems, claims platforms, or healthcare configuration tools. - Experience working with production metrics, quality audits, or compliance standards. - Prior experience identifying trends or contributing to process improvements. Education - High school diploma or equivalent required; associate’s or bachelor’s degree preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $17.00 - $28.46 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/21/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Acts as liaison between software development and data sciences teams to ensure development of robust data architecture foundation and database design • Assists in gathering requirements, writing user stories, and maintaining detailed specifications for the Syncrony EDC product • Designs operational reports, study dashboards, and data visualizations for study sponsors, site coordinators, and other key stakeholders • Ensures integrity of data and consistency of data delivery for data-related projects • Designs, optimizes, and maintains data pipelines for integration and transformation of diverse and complex datasets into required formats for loading, reporting, and/or analysis • Oversees database builds as needed; assists in database validation; assesses data impact upon subsequent changes and recommends strategies to maintain data integrity • Identifies opportunities for improvement; implements optimizations for data flow and collection and automates manual processes • Supports stakeholders with issues relating to data and data infrastructure; suggests strategies to improve data quality and integrity • Extracts, transforms, and loads data from outside clinical databases into the Syncrony EDC system • Maps, integrates, and reshapes data from clinical databases and large-scale registry studies to facilitate pooled analyses • Develops and maintains SOPs for database development and data mapping, integration, and/or migration projects • Identifies new opportunities for data acquisition and analysis • Develops SOPs for standardized study reporting frameworks to provide to all Syncrony EDC clients • Conducts training sessions for internal and external stakeholders on supported tools for data management and analytics.