Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for As a Staff Data Scientist at Circle, you will partner closely with product, payments, and business leaders to transform data into strategic insights that drive decision-making and product innovation. You will leverage advanced analytics, experimentation, and quantitative methods to better understand customer behavior, product performance, and the evolving payments ecosystem. As a staff individual contributor and trusted subject matter expert, you will influence product strategy, identify new business opportunities, and help shape the future of Circle's payments products. You will build scalable data solutions, lead complex analytical initiatives, and provide thought leadership that enables the business to make better decisions through data. This role is ideal for someone who is deeply curious, thrives in ambiguity, enjoys solving complex business problems, and is motivated by creating measurable impact at scale. What you'll work on - Partner with the Payments team to design and develop foundational datasets, metrics, and analytical frameworks that support product strategy and business decision-making. - Analyze customer behavior, product adoption, and transaction activity to generate actionable insights that improve payment experiences and drive business growth. - Research onchain payments ecosystems, blockchain transaction data, and competitive payment solutions to inform product development and market positioning. - Lead strategic analyses that identify new opportunities for product innovation, operational efficiency, and revenue growth. - Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and business intelligence tools to increase organizational leverage. - Communicate analytical findings through compelling visualizations and data storytelling tailored to technical and non-technical stakeholders, including senior leadership. - Influence product and business strategy by partnering cross-functionally with Product, Engineering, Operations, and Business leaders to drive data-informed decision-making. You will aspire to our core values - Multistakeholder - You demonstrate dedication and commitment to our customers, shareholders, employees, families, and local communities. - Mindful - You are respectful, actively listen, and pay close attention to detail. - Driven by Excellence - You relentlessly pursue excellence and are passionate about delivering exceptional outcomes for customers and the business. - High Integrity - You value open and honest communication and hold yourself to the highest ethical standards. - Future Forward - You embrace innovation and help drive the evolution of money through transformative technology. What you'll bring to Circle Core Requirements - 10+ years of experience in Data Science, Analytics, Economics, Statistics, or a related quantitative field. - Advanced proficiency in SQL and at least one programming language such as Python or R. - Deep expertise in statistical modeling, experimentation, causal inference, and quantitative methods. - Proven track record of independently leading large-scale analytical and data science initiatives from ambiguous problem statements to measurable business outcomes. - Strong experience influencing product strategy, business decisions, and senior stakeholders through data-driven recommendations. - Experience building scalable data products, analytical frameworks, and self-service capabilities that drive organizational leverage. - Excellent analytical and problem-solving skills with strong attention to detail and data quality. Preferred Requirements - Deep experience working with payments products, payment networks, fintech, or financial services platforms. - Experience analyzing blockchain datasets, onchain transaction activity, and public ledger data. Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $195,000 - $257,500 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

Role Description Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.

Title: Director, Data Science Location: Chicago; Los Angeles; New York Omnicom Media (OM), the media services division of Omnicom Group Inc. (NYSE: OMC) – delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OM connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OM agencies around the globe. Team Overview We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges. Position Overview As a company, we serve as the foundational data and technology layer in which analytics and insights can be accessed through a single lens. Our main goal is to advance our clients’ advertising and marketing strategies through the use of smart data and technology application that unlock insights and drive business results. Our unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. We have teams of analysts, data and marketing scientists, consultants, and technical experts to help us meet the business goals of our clients. Join our dynamic and diverse team – data solutions for marketers, by marketers. Key Responsibilities As a member of the Data Science team, you will work with agency strategists and media buyers to create solutions that shape the strategic direction of your client’s marketing plans through data-driven insights, audience solutions, and measurement techniques. This will involve - Interacting with client and programmatic teams (internal agency and external) to plan & execute optimization strategies as well as test & measurement plans related to media performance - Working with tech partners directly regarding data, clean rooms, custom bidding platform functionality, and troubleshooting related issues - Working with data from ad servers, DSPs, measurement partners, and other online and offline datasets to develop client-specific solutions - Collaboratively ideating and building tools that aid with analysis and ML transparency, visualization, and performance measurement Required Skills And Qualifications - 6+ years of industry experience; knowledge of ad-tech ecosystem, programmatic advertising, and agency work experience a plus - Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields - Advanced quantitative degree or intensive bootcamp experience is preferred - Must have hands-on expertise in Python; SQL proficiency preferred - Experience with cloud computing platforms such as AWS or GCP - Experience managing data scientists and end-to-end analytics projects - Direct exposure to client media, marketing, and analytics teams Our culture and working style within the group fosters a positive, productive, entrepreneurial team spirit. We demonstrate a strong working knowledge of media across all channels and are data driven in our approach. We use analytic and technical knowledge to identify the most effective strategies to address our clients’ needs. We also work to stay sharp and up to date with our skills and trends in the marketplace that help us bring the best for our clients. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $140,000 - $170,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

• Build, validate, and ship predictive models that drive the business: churn prediction, LTV forecasting, propensity and uplift modelling, and recommendation • Own end-to-end ML workflows: feature engineering, model development, evaluation, deployment, and monitoring • Monitor models in production and retrain or adjust them as the product and user base evolve • Explore where AI/ML creates real product value as the company expands into AI-powered products • Design and analyse experiments (A/B tests, uplift, causal inference), bringing rigour to how we measure impact and reduce variance • Help shape the experimentation framework and modelling standards as foundations for the wider team • Handle user-level data responsibly: privacy-aware feature engineering, avoiding leakage of sensitive attributes, and compliance with data-use policies • Partner with Data Engineers to productionise models with reliable feature pipelines and, where useful, a feature store • Translate model output into clear, actionable recommendations for Product, Growth, and leadership — tying work back to company goals