Вакансии

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats Working with Engineers to automate and optimise your code, ensuring robust data extraction processes Managing the end-to-end process of onboarding new datasets Proactively solving data related problems to minimise time to production Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit Your present skillset 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy Demonstrable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks’ priorities Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimise time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy Demonstratable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

-разработка и оптимизация ETL/ELT-конвейеров для обработки больших данных. -настройка и администрирование Hadoop/Spark-инфраструктуры (HDFS, YARN, Hive, HBase).

Location: Москва, RU; Россия О команде Мы — команда Seller Marketing Analytics, или SMAK, Seller Marketing Analytics Knights. Помогаем маркетингу продавцов превращать инвестиции в измеримый рост бизнеса. Для нас рекламная кампания — это гипотеза: до запуска договариваемся, как оценим эффект, проводим тест и используем выводы в следующих кампаниях. Хотим увеличивать долю маркетингового бюджета, для которой способ оценки эффекта определён заранее. Работаем на стыке маркетинга, продукта и бизнеса. В команде много открытых задач, где нужно разобраться в проблеме, предложить подход и довести проект до результата. AI — один из рабочих инструментов: используем агентов в повседневной работе, проверяем их выводы и автоматизируем повторяющиеся задачи. Вы будете работать с маркетингом продавцов в Авито Товарах: помогать команде планировать рекламные кампании, участвовать в запуске и оценивать их эффект. Среди таких кампаний — CRM-рассылки, спецпроекты и масштабные рекламные кампании, которые объединяют перфоманс-рекламу, медийную рекламу, SMM и другие каналы. Какие задачи вас ждут: — вместе с маркетингом формулировать гипотезы, выбирать метрики и продумывать оценку до старта кампании; — подбирать метод под задачу: от классических AB-тестов на нашей платформе Trisigma до методов причинно-следственного анализа; — разбирать результаты и помогать команде решать, какие механики развивать и что менять в следующих запусках; — вести аналитические проекты: договариваться о приоритетах и сроках, обсуждать ограничения и планировать работу на спринт и квартал. Мы ждём, что вы: — не менее 3 лет работали в аналитике данных или продуктовой аналитике; — умеете работать с разными заказчиками: разбираться в их задачах, согласовывать приоритеты и переключаться между бизнес-контекстами; — предлагаете собственные гипотезы и можете аргументировать свою позицию, услышать другую сторону и найти рабочий компромисс; — вели аналитические проекты с влиянием на бизнес: превращали открытый вопрос в задачу для анализа, проверяли выводы и показывали, как результаты связаны с бизнес-метриками; — имеете опыт проектирования и анализа AB-тестов: выбираете метрики, рассчитываете размер выборки и длительность эксперимента, проверяете корректность теста и интерпретируете результаты; — применяете ML для анализа факторов, связанных с изменением бизнес-метрик, и прогнозирования временных рядов; — умеете проверять качество моделей и понимаете, когда их выводы позволяют говорить о связях, а когда — о причинном эффекте; — используете AI и агентов для технической части работы, умеете проверять их результат и отвечаете за выводы, которые приносите заказчику. Будет здорово, если вы: — имеете опыт работы в маркетинговой аналитике; — оценивали инкрементальный эффект маркетинга, строили модели атрибуции или анализировали кампании со сложными механиками. Работа у нас — это: — команда с сильной экспертизой и развитое профессиональное сообщество; — прозрачная система премий и зарплата, размер которой обсудим на собеседовании; — личный бюджет на обучение: книги, курсы и конференции; — расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; — сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; — корпоративный спорт: групповые тренировки, велбиинг-приложение; — спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; — компенсация питания; — возможность работать удалённо или из офиса в 2 минутах от метро «Белорусская»: есть места для уединённой работы и зоны отдыха.

Responsibilities: — Act as the dedicated analyst on the product, supported by a data team of over 10 people using BigQuery, dbt, and Tableau. Requirements: — At least 3 years of experience in web subscription or e-commerce analytics. — Strong skills in SQL and Python. — Experience setting up tracking from scratch at least once. Benefits: — Not specified.

Responsibilities: — Build BI dashboards and transform data into actionable business decisions. Requirements: — Advanced SQL skills including window functions with over 5 years of experience in data analytics. — Proficiency in Tableau, ClickHouse, Excel or Google Sheets. — Experience in hypothesis validation, ad-hoc analysis, and ensuring reliable data flows. — Bonus skills include Python programming and experience in Contact Centre or Customer Support.

Требования: — опыт работы с Databricks — знание PySpark и Spark — опыт работы с Azure Cloud — навыки в области Data Warehousing и ETL/ELT О компании: Международная команда, строящая современные облачные дата-платформы и аналитические решения. Формат работы: удаленно. Местоположение: Польша.

Задачи: -Проводить аналитику новых источников, реплику автоматизированных систем (АС) с использованием Hadoop и Spark. -Разрабатывать витрины данных. -Строить прототипы и передавать их в разработку с применением SQL. -Поддерживать и дорабатывать текущий функционал в соответствии с новыми требованиями. -Формировать проверки контроля качества данных. Требования: -Уверенное знание SQL (HQL), включая оконные функции, multiple join, CTE и оптимизацию. -Опыт работы с Hadoop, HDFS, Hive, YARN, Spark, понимание физического расположения данных в Hadoop и партиционирования таблиц. -Опыт работы с большими данными (от 10 миллионов записей в партиции). -Опыт работы с банковскими данными и общее понимание банковских продуктов. Условия работы: полная занятость, офис в Москве.

— Сбор и анализ больших массивов данных из различных блокчейн-сетей (on-chain data). — Разработка и внедрение моделей машинного обучения для прогнозирования состояний сети и оптимизации работы ZK-инфраструктуры.

Обязанности: Задачи: сбор, согласование и формализация требований бизнеса к отчетности и метрикам; написание SQL витрин данных и запросов;

Задачи: — Разработка end-to-end data-сервисов на базе ML моделей с целью снижения Cost of Risk, включая онлайн модели для оценки. Требования: — Опыт промышленной разработки на Python. — Опыт разработки и внедрения скоринговых моделей, моделей коллекшен и антифрод. — Понимание жизненного цикла моделей: от бизнес-требований до внедрения и поддержки.

Требования: — международный опыт проектов с рабочим английским языком — опыт работы не менее 5 лет, из которых 2–3 года с платформой Azure — использование стека данных Azure — владение Python/PySpark и SQL

Требования: — Опыт работы Data Engineer в промышленных проектах не менее 2 лет — Продвинутые знания SQL и Python для обработки данных — Опыт работы с Spark или аналогичными технологиями, включая понимание партиций, shuffle и планов выполнения — Знание dbt и Airflow или их аналогов

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming is seeking a Data Analyst III to play a key role in optimizing and scaling our VIP program through data-driven insights. This position will focus on performance tracking, reporting, and ad-hoc analysis to drive strategic decision-making and enhance customer engagement. You will be responsible for building and maintaining Sigma dashboards, writing SQL queries, and leveraging AI automation and data engineering best practices to extract and analyze large datasets in a scalable fashion. Your insights will directly impact sales operations, customer reinvestment strategies, and VIP journey optimization, helping to create a seamless, high-value experience for our most engaged users. Key Responsibilities Build and maintain Sigma & AI powered dashboards to visualize VIP program performance and key business metrics. Develop SQL queries to extract, analyze, and manipulate large datasets, driving customer engagement insights. Collaborate with analytics engineering teams to build and maintain data pipelines for VIP related data. Analyze sales operations, customer reinvestment trends, and engagement behaviors to inform VIP program strategy. Develop predictive models to optimize customer segmentation, routing, and personalized VIP journeys. Provide data-driven recommendations to improve customer relationships, maximize engagement, and enhance the VIP experience. Automate reporting processes and streamline data workflows for efficiency and scalability. Embedding AI efficiencies into every process and using it to do work previously not possible. Effectively communicate insights to commercial, marketing, operations, and executive leadership teams to drive strategic initiatives. Experience & Skills 5+ years of experience in data analytics, business intelligence, or data engineering. Advanced SQL proficiency, with experience handling large-scale datasets and optimizing queries. Strong expertise with dashboard development, visualization, and performance tracking. Understanding of analytics engineering best practices, pipeline optimization, and automation. Hands on experience with using AI to iterate quickly and drastically improve efficiencies. Experience with DBT is a plus. Ability to think strategically and translate data into business insights and revenue-driving recommendations. Experience with customer loyalty programs, engagement analytics, or VIP strategy is a plus. Self-motivated, highly detail-oriented, and strong problem-solving mindset with the ability to work independently. Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $130,000 — $150,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY or Remote About Us: EvolutionIQ, a part of CCC Intelligent Solutions, is on mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: An ambitious Software Engineer using agentic workflows as a massive lever for engineering velocity. While you use modern AI tools to accelerate code generation, your core strengths lie where LLMs fall short: system architecture, rigorous code quality, security, and complex debugging. You will be in the driver’s seat as we design and deliver the entire systems for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and have a data driven mindset. In this Role You Will: Orchestrate High-Velocity Workflows: Leverage advanced agentic coding tools (e.g., Cursor, multi-agent environments) to dramatically accelerate feature prototyping, code generation, and test coverage. Own the Guardrails & Quality: Act as the ultimate reviewer and architect; define the specifications, establish repo-context guardrails, and review AI-accelerated output for hidden security risks, scale bottlenecks, and architectural alignment. Build Scalable Application and Data Layers: Design, build, and maintain our data pipelines and application to service our hundreds of users. Bridging the Data: Partner closely with product, client services, and data science teams to transform raw pipeline outputs into meaning. Drive Greenfield Engineering: Take complete ownership of designing, building, and launching enterprise-grade applications, moving fluidly between rapid prototyping and bulletproof production systems. Skills Requirements: 2+ years of engineering experience going through the full feature development life cycle: Working with product managers, deciding scope, designing data models and pipeline architectures. Python and SQL Development is a plus Proven fluency in using agentic coding tools like Cursor AI and/or claude Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios through pipeline performance and data quality checks Ability to remain agile and move between rapid prototyping and stable production development Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions through data You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences Excellent collaboration skills and are open to giving and receiving critical feedback across teams You have an eye towards analytics and helping to enable data driven decision making Work-life, Culture & Perks: Compensation: The base salary range is $170-185K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Austin (Hybrid) About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack, build specialized data solutions for predictive modeling and machine learning applications, and construct systems that truly run the business. About the role We are looking for an experienced Data Engineer to join our Austin team and help scale the development of our internal data products. In this role, you will build data-driven applications that empower teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing features to implementation and long-term ownership. You will work on building scalable, reliable systems that solve critical business problems, partnering closely with full-stack engineers to develop new features and operate the data pipelines and services behind our applications. Our stack spans multiple languages and technologies, including Go, Scala, and ClickHouse, and continues to evolve. Many of our products also incorporate strong AI components, giving you opportunities to build sophisticated, AI-ready data layers and work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability. Partner closely with engineers, analysts, and product stakeholders to design solutions for strategic initiatives, business-critical data products, and agentic AI architectures. Contribute to the evolution of our data platform architecture, improving scalability, reliability, observability, and data correctness across the stack. Build and curate high-quality, well-modeled, and richly contextual datasets that power internal products, predictive analytics, and LLM-enabled features at company scale. Develop a deep understanding of the company’s data ecosystem — including source systems, tooling, and data flows — and collaborate closely with the data and system engineers in Austin, Lisbon, and London to improve data ingestion, quality, and governance. Lead by example through design reviews, knowledge sharing, and mentorship, helping raise the technical bar, data engineering practices, and AI implementation standards across the organization. Examples of desirable skills, knowledge and experience B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. 5+ years of professional experience in data engineering, software engineering, or related roles, building and operating production data systems. Strong programming expertise in Go, Python, or JVM-based languages, with experience writing high-quality, production-grade services and pipelines. Deep knowledge of SQL and hands-on experience designing data models and working with relational, analytical, or vector databases (e.g., PostgreSQL, MySQL, ClickHouse). Experience building scalable, reliable, and observable data pipelines, with an understanding of performance, data quality, and operational best practices. Proven problem-solving and communication skills, with a track record of driving projects in ambiguous environments and partnering effectively with cross-functional teams. Bonus Points Familiarity with container based deployments such as Docker & Kubernetes. Familiarity with Google Cloud Platform, foundational Large Language Model (LLM) orchestration frameworks, or something similar. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Banking Data Science team powers the product roadmap for Wealthsimple’s retail and business banking offering, ranging from Chequing & Savings accounts, Lending, Money Movement, Payments, Corporate accounts and more. Data scientists are embedded within cross-disciplinary teams, working directly with product managers, engineers and designers as a lateral strategic partner. In this role, you'll be the DRI (Directly Responsible Individual) for the Money Movement and Payments domains. The breadth of its scope is vast: you will have ownership of the strategic direction for feature pricing, design experiments to inform the future of the client experience, and build client-facing data products that will reach millions of Canadians. We’re looking for a full-stack Senior Data Scientist who is excited about banking products and can contribute to product growth from day one. In this role, you will have the opportunity to: - Design & execute A/B tests to inform pricing, measure launch impact and make data-informed decisions on the future of the product roadmap. - Build client-facing ML & AI products, such as spend insights https://help.wealthsimple.com/hc/en-ca/articles/49929213964571-Track-and-categorize-your-spending. - Design & implement measurement strategy for upcoming product launches, including metric definition, geo-experimentation and otherwise incrementality analyses. - Design & build data pipelines and architecture for modelled datasets. - Use causal inference and complex statistical methods to deep dive into the product problems pace in order to provide actionable insights rooted in a deep understanding of client behaviour. - Leverage AI to build agentic workflows, deepen your craft and handle operational tasks efficiently. - Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges. - Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)   We are looking for someone who: - Has a product mindset, having worked on customer-facing products with a culture of A/B testing, strong experimental design, product analytics and data storytelling. - Has experience with the impactful application of complex statistical methods, causal inference, and applied mathematics. - Is experienced working directly with cross-functional partners, preferably having worked with director-level stakeholders. - Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality. - Has driven high-stakes product decisions (e.g., pricing, roadmap priorities) with data - Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment. - Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice. - Strong technical skills in Python and SQL with experience building production-quality data pipelines. - Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders. - Fintech experience is a bonus, but not a requirement. Why you’ll love this role: - Lead experimentation best practices across Wealthsimple, setting the standard for how teams design and interpret tests to make sharper product decisions. - High visibility, high impact: Your work directly affects Wealthsimple's product roadmap and influences the banking experience for millions of Canadians. - Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and computational math. - Strategic domain ownership: Own two key pillars of Wealthsimple's product strategy and build deep expertise in a lasting problem space. - AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation and causal inference. We’re looking for a Senior Data Scientist to join our London team (working hybrid, 3 days in the office). In this role, you’ll enable high-quality human-led decision-making to maximise impact. We’re hiring multiple Senior Data Scientists across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, remit and team. About Our Analytics Organisation We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision-making. Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as technical leads or people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. What You’ll Be Doing You will help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the impact of exclusive deals we have with restaurants? How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? How much should our pricing vary by distance and by market? What is the optimum selection and variety of restaurants in a particular area? How do we adapt our consumer app to better suit grocery shoppers? What You’ll Need to Thrive Significant experience in Data Science (or similar) roles. Experience leading both simple and more complex experiment designs, with the ability to proactively unpick insights to steer strategic decision making Great communication skills - in person, in writing, in code; to technical and non-technical audiences. Through solid analysis, provide clear and actionable recommendations that influence the team's roadmap. Effective problem-solving, demonstrating an ability to successfully address complex and ambiguous challenges. Ability to think creatively and insightfully about business problems Proficiency with analytical tools like R/Python and familiarity with SQL. Proficiency with Cursor/AI tools to deliver impactful, high-quality work efficiently is also valued A pragmatic, flexible approach, where you most care about achieving impact Excellent people skills — you'll be meeting with a range of both technical and non-technical stakeholders to translate business needs into data science problems Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .