Данные и ML вакансии - удалённо

- Developing and optimizing complex SQL queries and stored procedures. - Designing database schemas for high-load systems.

🔎 We are looking for a Senior Database Engineer (PostgreSQL, MySQL). You’ll take full ownership of the production databases at a high-traffic, high-load startup with millions of rows.

We are looking for an experienced Data Engineer to join a project focused on data engineering, pipeline development, and migration within a cloud-based environment. - Solid professional background in Data Engineering.

– Разрабатывать с нуля MVP новой дата‑платформы и инфраструктуры для ingest/transform. – Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse).

— писать интеграции AI-агентов с корпоративными системами; — допиливать внутренние сервисы: авторизация, логирование, личные кабинеты, дашборды;

Mayflower is a tech company focused on developing high-traffic products that serve millions globally. They are seeking a Data Science Lead to work remotely. The role involves leading data science initiatives within the company, applying expertise in analytics and data-driven decision-making to support product development and business goals. Candidates should have strong experience in data science methodologies and leadership capabilities to manage projects and teams effectively in a high-load environment.

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports;

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As Director, Analytics Engineering, you’ll lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. You’ll shape how data is modeled, tested, documented, governed, and made available to teams across Marketing, Finance, Product, Analytics, and Data Engineering, while staying close to the technical work when it matters. By building reliable data foundations for Artificial Intelligence (AI), you’ll help advance 1Password’s mission to create a safer, simpler digital future. Reporting to the VP, Data Analytics, this role is remote within the United States and Canada. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams. • Strong Structured Query Language (SQL) and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment. • Deep knowledge of dimensional modeling, such as Kimball or star schema approaches, applied in complex Business-to-Business (B2B) Software as a Service (SaaS) environments. • Experience with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift, including decisions related to performance, cost, and scale. • Experience establishing semantic layer strategies and trusted metric definitions across an organization. • Ability to translate complex business priorities into a clear data platform roadmap and communicate effectively with senior stakeholders. • Experience with Continuous Integration and Continuous Delivery (CI/CD), orchestration tools such as Airflow, Dagster, or Prefect, and AI-assisted analytics engineering workflows. What you can expect: • Own the vision, roadmap, and execution for 1Password’s analytics engineering function, including core data models, semantic layers, Business Intelligence (BI) tooling, and pipeline infrastructure. • Hire, manage, and develop analytics engineers while establishing clear career ladders, leveling expectations, and performance practices. • Set standards for data modeling, testing, documentation, code review, deployment, and data quality. • Stay close to the technical work by reviewing complex dbt models, optimizing SQL, and helping troubleshoot high-priority pipeline issues. • Serve as a senior technical partner on data modeling and metric governance, ensuring definitions are consistent, trusted, and well documented. • Partner with leaders across Data Engineering, Analytics, Finance, Marketing, Product, and Go To Market (GTM) teams to turn business needs into a prioritized roadmap. • Build governed, reliable data foundations that support company-wide decision-making, AI initiatives, and Generative BI experiences. USA-based roles only: The annual base salary for this role is between $204,000 USD and $306,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $200,000 CAD and $300,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

- Администрирование, настройка и поддержка баз данных PostgreSQL. - Оптимизация производительности баз данных для высоконагруженных блокчейн-приложений.

О вакансии Мы ищем высококвалифицированных специалистов по Machine Learning для участия в проекте по обучению AI-моделей. Работа включает разработку и обучение моделей, системы инференса, численные вычисления, оптимизацию производительности и программирование на Python.

🌸Проводить аудит текущей игровой математики. 🌸Рассчитывать вероятности выпадения, EV, маржу и волатильность кейсов.

Задачи: — участие в долгосрочном проекте по обезличиванию данных в формате ИП Требования: — опыт работы от 3 лет в роли ML-инженера / Data Scientist — опыт разработки и внедрения ML-моделей в продакшен — знание Python, pandas, numpy, scikit-learn — опыт работы с NLP-инструментами: SpaCy, Hugging Face Transformers — практический опыт построения пайплайнов обработки неструктурированных данных — очистка, нормализация, feature engineering — извлечение сущностей (NER) — понимание и опыт применения деревьев решений и ансамблей (Random Forest) — умение интерпретировать результаты, подбирать гиперпараметры, оценивать риски переобучения — опыт работы с CTGAN и TVAE (библиотека SDV или аналоги): обучение, подбор гиперпараметров — проведение privacy-проверок — контейнеризация (Docker) — развертывание моделей через API (FastAPI/Flask) — версионирование моделей и данных (MLflow/DVC) — понимание CI/CD-процессов Условия: — формат сотрудничества: ИП — тип занятости: долгосрочный проект

Ищем сильного ML Researcher уровня Senior / Staff для сложной исследовательской задачи на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. Необходимо моделировать поведение участников и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget.

You’ll take full ownership of the production databases at a high-traffic, high-load startup with millions of rows. - Monitoring, incident response and recovery readiness.

Ожидание от кандидата: Высшее техническое или математическое образование; От 3–4 лет коммерческого опыта в Data Science / ML.

-Участие в проекте умного ценообразования банковских продуктов. -Полный цикл разработки моделей: сбор и подготовка данных, исследовательский анализ, построение uplift‑моделей, их валидация и оценка.

– Проектировать витрины данных: модель, гранулярность, состав атрибутов, историчность. – Разрабатывать и поддерживать процессы наполнения витрин, подключать новые источники данных.

Deliver novel and impactful insights for client organizations using machine learning and AI technologies. Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.