At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Scientist Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products. What You'll Do: - Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. - Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. - Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. - Mentor junior data scientists and share modeling and engineering best practices across the team. - Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What You'll Bring: - Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline - Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. - Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. - Ability to independently structure and execute data science projects and deliver business value through production-ready models. - Excellent communication and collaboration skills to work effectively across technical and non-technical teams. #LI-EN1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

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. Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. We’re looking for a Senior Data Scientist to join our Institutional team. As a Senior Data Scientist on this team, you’ll support building the foundations for the Coinbase Institutional business, e.g. build models and frameworks to explore fee schedules on our exchanges, analyze and improve existing frameworks around Prime Broker Trading/Financing offerings, get involved into efforts such as Custody, Web3 & Staking to help onboard Institutions in their DeFi journey, among other impactful and exciting projects. What you'll be doing: - Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. - Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. - Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. - Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: - A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience - Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. - Ability to influence external stakeholders by synthesizing data learnings into compelling stories. - Practical expertise in applying complex modeling frameworks to practical business problems. - Professional experience using SQL and Python. - Experience working with digital products in an iterative development cycle. - Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. - 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. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: P75645 Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $180,370—$212,200 USD 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

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team The Product team at Airwallex is a group of passionate builders and problem-solvers who are obsessed with crafting customer-centric solutions that empower businesses to operate anywhere, anytime. We combine technical expertise with a deep understanding of our customers' needs to design and build unified, intuitive, and scalable products. As a team, we thrive in a collaborative and fast-paced environment, constantly iterating and pushing boundaries to deliver exceptional product experiences. We partner closely with legal, regulatory, financial crime compliance, product, engineering and commercial teams to help Airwallex grow safely and sustainably. Our work spans regulatory reporting, financial crime compliance, enterprise risk management, data & privacy and more - all under a fast-evolving global regulatory landscape. We're a high-impact, high-trust team that thrives on solving complex problems to support Airwallex's global ambitions. What you'll do As Senior Data Scientist, Analytics (Risk & Compliance), you will be the go-to analytics partner for our Regulatory Compliance and Financial Crime Compliance teams, impact across our global footprint. You'll help transform how Airwallex manages regulatory reporting and risk oversight by building robust data foundations, validation frameworks, and self-service analytics that regulators, auditors, and senior leaders can rely on. Responsibilities - Lead analytics and data design for priority regulatory reports (e.g. regulatory compliance, financial crime, and financial regulatory returns), from requirement translation through to data logic, testing, and go-live. - Partner with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to standardise how we use common dimensions (accounts, FX, products, entities) across reports, leveraging the regulatory reporting data foundation. - Work with Data Engineering to define automated test suites and manual QA playbooks that must pass before reports are submitted to regulators. - Leverage snapshotting and versioning approaches so that "as-of" historical reports can be regenerated and explained consistently during RFIs, audits, or supervisory exams. - Conduct deep-dive analyses when anomalies, RFIs, or audit findings arise - quantifying impact, identifying root causes across products/entities, and proposing remediation options. - Shape requirements for a scalable regulatory reporting and risk analytics platform - Lead cross-functional collaboration, act as the primary analytics partner, turning open-ended regulatory and risk questions into structured analytical projects and roadmaps. - Champion best practices in analytical rigour, documentation, and validation for colleagues working on risk and compliance topics; provide informal mentorship to analysts and data scientists in adjacent teams. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline - 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management - 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R - Experience building visualizations using large datasets and multiple data sources using Looker or Tableau - Excellent communication and stakeholder-management skills: able to explain technical data topics to non-technical audiences, document assumptions clearly, and influence cross-functional partners across Legal, Risk, Compliance, Finance, and Engineering. Preferred qualifications - Direct experience working on regulatory reporting for risk and compliance domain - Familiarity with data modelling for fintech products such as payments, FX, wallets, cards, and lending, including concepts like transaction lifecycles, balances, FX rates, stored value, and chargebacks. - Exposure to model risk or AI/ML governance (e.g. model inventories, validation, monitoring) and an interest in how these frameworks intersect with regulatory reporting and compliance analytics. - Intuitive, organized analytical thinker, with the ability to perform detailed analysis. Knowledge of analytical tools and use of data to validate strategies or hypotheses - Experience working with cross-functional, geographically distributed teams, managing by influence is a plus Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Role Description Na Deloitte, buscamos pessoas que queiram gerar impactos positivos todos os dias. Impulsionamos talentos para que possam se desenvolver em um ambiente colaborativo, com times diversos e que tragam energia, empoderamento, interação e conexões. O nosso crescimento é exponencial porque os talentos que recrutamos possuem os nossos valores em suas essências. Liderar o caminho, fomentar a inclusão, colaborar para mensurar impactos, servir com integridade e cuidar uns dos outros são pontos essenciais e inegociáveis para fortalecer ainda mais o nosso propósito. Você terá a oportunidade de evoluir sua carreira na maior empresa de serviços profissionais do mundo como Cientista de Dados Visão Computacional Pleno no time de desenvolvimento, aqui você terá a oportunidade de ser o protagonista de sua carreira, e de gerar impactos e transformações positivas em seu redor. Na sua rotina, você irá: - Desenvolver aplicações e pipelines de processamento em Python. - Treinar, ajustar e implantar modelos de deep learning em ambientes produtivos. - Integrar modelos generativos a pipelines de dados e sistemas de negócio. - Otimizar modelos para dispositivos de borda, utilizando ONNX, TensorRT e OpenVINO. - Projetar e manter soluções com bancos de dados relacionais, NoSQL e vetoriais (como Chroma e Faiss). - Implementar e acompanhar monitoramento e observabilidade com ferramentas como Prometheus, Grafana e CloudWatch. - Containerizar aplicações e serviços utilizando Docker. - Atuar em ambientes de nuvem AWS, apoiando desenvolvimento e operação das soluções. - Utilizar Git para versionamento de código e aplicar práticas de CI/CD. Qualifications - Ensino Superior Completo em cursos de TI; - Lógica de programação sólida e boas práticas de engenharia de software; - Linguagem de programação Python para desenvolvimento e pipelines de processamento; - Capacidade de treinar, ajustar e implantar modelos de deep learning; - Conhecimento com modelos generativos e integração desses modelos em pipelines; - Otimização de modelos para dispositivos de borda (ONNX, TensorRT, OpenVINO); - Experiência com bancos de dados (Relacional, NoSQL, Vetoriais: Chroma, Faiss, etc); - Familiaridade com ferramentas de monitoramento (Prometheus, Grafana, Cloudwatch); - Conhecimento com docker; - Conhecimento em ambientes de nuvem (AWS); - Conhecimento em versionamento com Git e práticas de CI/CD; Requirements - Desejável: Experiência com processamento de imagem e bibliotecas como OpenCV e scikit-image; - Experiência com modelos clássicos de machine learning e a biblioteca scikit-learn; - Experiência com modelos de deep learning e as bibliotecas PyTorch e/ou Tensorflow; - Experiência com modelos populares de detecção de objetos, como Yolo e SSD; - Experiência com message brokers, como: Apache Kafka, RabbitMQ ou Amazon Kinesis; Company Description Faz toda diferença contar com quem pode fazer dos sonhos, realidade. Escolha seu impacto!