Вакансии

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 .

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. 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.

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. 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.

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 Data Science organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. Our Analytics community is highly active, with guest lecturers, study groups, mentorship programmes and a robust technical review process. Our data scientists come from all kinds of backgrounds but have excellence in common. 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. What You’ll Be Doing As a Senior Data Scientist at Deliveroo, your goal is to maximise business impact within one of our product areas. A core part of the role is designing, running and interpreting experiments, and using causal inference to guide product decisions in complex, real-world settings. You will go beyond simply answering “did this feature work?” and instead focus on understanding what the true impact is, why it worked or did not work, and how results generalise across users, markets and time. Here’s what your day-to-day might look like: Driving Strategy/insights through Experimentation: Leading the design of both simple and complex experiments and proactively translating findings into strategic direction. Master Causal Inference : Apply advanced techniques to estimate long-term and heterogeneous treatment effects. Drawing reliable conclusions in settings with selection bias or imperfect randomisation. Drive Deep Product Insights: Uncover the fundamental drivers of experiment performance, determining why features succeed and how results generalise across different users, markets, and timeframes. Using insights from past experiments to improve future decision-making . What You’ll Need to Thrive Strong experience designing, running and interpreting A/B experiments in production environments Solid understanding of causal inference concepts Ability to apply statistical thinking to messy, real-world product problems, not just ideal experimental setups Great communication skills in person, in writing and in code, with both technical and non-technical audiences A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business problems Familiarity with SQL Excellent people skills as you will be meeting with 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 .

Задачи: сбор и уточнение требований от маркетинговых аналитиков и BI, их перевод в изменения логики атрибуции, источников и data marts; миграция attribution-пайплайна (dbt-модели, Airflow DAGs, источники) на core DWH-платформу с параллельным прогоном старого и нового контуров и сверкой до переключения;

Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Dive deep into Digital! For more than 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! What project we have for you For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer to support the development and implementation of an AI-powered pricing model. The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential. The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed. The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff. What you will do Further development and customisation of an existing AI pricing prototype based on Azure Databricks Analysis and processing of internal and external data sources Development and implementation of neural networks and machine learning models Development, training and validation of proprietary AI models Implementation and optimisation of AI models using Python Use and processing of Large Language Models (LLMs) and prompt engineering Porting existing models to the company’s own data and system landscape Collaboration with the internal data science team and international project stakeholders Supporting the integration of the developed solution into the existing ERP system What you need for this At least 2–3 years’ practical project experience in AI engineering or similar AI projects Very good knowledge of Azure Databricks Strong knowledge of Python Substantial experience in machine learning and deep learning Practical experience in the development, training and validation of neural networks Experience working with Large Language Models (LLMs) and prompt engineering Experience in the development and implementation of AI models in real-world business environments Ability to translate business requirements into technical models and solutions Good communication skills in English and German Ability and desire to travel to client office (Germany) An independent and structured approach to work Will be a plus: Experience in the retail sector Experience with pricing models and predictive analytics Experience integrating AI solutions into ERP systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Databricks English German Python

💎 Полный цикл анализа триггерных кампаний, пилотов и A/B-тестов: настройка кампаний в CRM, контроль корректности, согласование методики оценки эффективности, анализ воронки коммуникаций и влияния на продажи и маржу.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. Your Mission & Who We Are Looking For - Quantitative Academic Foundation: You are currently pursuing a Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. You are available to contribute up to 20 hours per week during the semester. - ML Model Prototyping: You will support the research and evaluation of deep learning and machine learning models that predict user behavior across our 770 million user base. We are looking for solid Python skills and hands-on familiarity with PyTorch, TensorFlow, scikit-learn, and gradient boosting libraries (LightGBM/CatBoost/XGBoost) to prototype new algorithms. - Large-Scale Data Exploration: Operating on our 1PB+ behavioral data lake, you will extract patterns from terabytes of data to engineer high-fidelity features for our training pipelines. This requires strong SQL fundamentals, an interest in distributed query engines (AWS Athena, Trino, Spark), and fluency with pandas, polars, and NumPy. - Experimentation & Validation: You will collaborate closely with our data scientists to test your fit-for-purpose solutions against our multi-objective optimization problem. We need someone who can rigorously evaluate models through offline experiments and A/B tests before they hit our 100,000+ predictions-per-second production environment. - Plus: ML Infrastructure Exposure: Any prior exposure to the systems that run our real-time scale—AWS, workflow orchestration (Airflow), containerization (Docker), or basic model deployment workflows—will accelerate your impact. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary, and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our Company. We welcome applications from people who will contribute to the diversity of our company.