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Location: Hinesville, Georgia Workplace: OnSite Board Certified Assistant Behavior Analyst (BCaBA) – Hinesville, Georgia   Company: Fox & Fern Behavioral Solutions, a Finni Health company   Job Type: Full Time or Part Time   Schedule: M-F 9-4   Location: In-person – In-home. Based in Hinesville, Georgia; also serving Jesup, Midway, and Ludowici   Pay: $50 - $55 per hour   ABOUT THE ROLE   Fox & Fern Behavioral Solutions, a Finni Health company, is seeking a dedicated and compassionate Board Certified Assistant Behavior Analyst (BCaBA) to join our team in Hinesville, Georgia, with the option to serve families in nearby Jesup, Midway, and Ludowici. In this role, you will support children in their homes, using Applied Behavior Analysis (ABA) therapy techniques under the supervision of a Board Certified Behavior Analyst (BCBA) to make a meaningful impact on their development and daily life.   WHAT YOU'LL DO   - Deliver in-person ABA therapy and support in a child's home - Assist in implementing and updating behavior intervention plans under BCBA supervision - Collect and record data on client progress and behaviors - Participate in supervision sessions with a BCBA - Attend required team meetings and training sessions   WHAT WE OFFER   - Competitive hourly pay: $50 - $55/hour - Career growth opportunities within the ABA field - Drivetime - Health, dental, and vision insurance (for full-time employees)   WHAT YOU'LL NEED   - Active BCaBA certification (Required) - Early intervention experience, ages 2–6 (Required) - Active CPR certification (Required) - Reliable transportation - Passion for supporting children with special needs   PHYSICAL REQUIREMENTS   - Ability to lift up to 50 pounds - Ability to kneel, squat, crawl, sit, and stand for extended periods - Comfortable engaging in play and physical activity with children   LICENSE/CERTIFICATION   - BCaBA Certification (Required) - CPR Certification (Required)   BACKGROUND CHECK All candidates must pass a background check. Employment offers are contingent upon successful screening results to ensure the safety of the children and families we serve. #FinniHealthBCBA

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The IT & Security Team OpenZeppelin is a leader in blockchain security, providing cutting-edge security audits and services to top Web3 organizations. Our Security and IT team plays a critical role in safeguarding our infrastructure, ensuring compliance, and enabling our distributed team with secure and efficient IT solutions. What you'll be doing Security & Compliance Support: Assist in managing security tools, including endpoint security (e.g., MDM solutions like Jamf or Intune). Support implementation of security policies and procedures. Help with internal security audits and compliance documentation. Monitor system access and assist in enforcing security controls. Participate in incident response activities and learn best practices for handling security incidents. IT Operations & Support: Help with onboarding and offboarding processes, including provisioning accounts and setting up workstations. Provide technical support for remote employees, troubleshooting basic IT and security issues. Maintain IT assets and document configurations. Assist with integrations, automations, and basic scripting tasks where applicable. Growth & Learning Opportunities: Work closely with senior engineers to gain hands-on experience in IT security and compliance. Receive mentorship and training in security best practices, cloud security, and compliance frameworks. Contribute to internal security awareness initiatives. You have 1-3 years of experience in IT or security-related roles (help desk, IT support, sysadmin, security analyst, etc.). Basic knowledge of cloud platforms (AWS, Google Workspace) and security tools. Basic knowledge on security and configuration controls of AI tools ( claude/claude code, chatgpt/codex etc..) Some experience with IT administration, endpoint security, or identity/access management. Understanding of security best practices and a willingness to learn more about SOC 2, ISO 27001, and compliance frameworks. Good problem-solving skills and the ability to work in a remote-first team. Strong written and verbal communication skills. Nice to have Hands-on experience with MDM solutions (e.g., Jamf, Intune or others). Understanding of networking fundamentals (firewalls, VPNs, DNS). Certifications such as CompTIA Security+, Google IT Support, or AWS Cloud Practitioner. Exposure to security tools such as SIEM, EDR, or vulnerability scanners. Passion for cybersecurity and an eagerness to grow into a more senior role. Logistics: Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter Interview (30 minutes) Hiring Manager Interview (60 minutes) Team Interview (30 minutes) Leadership Interview (30 minutes) Paid work trial (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Бизнес-аналитик в Lerna — платформе для корпоративного обучения, которая объединяет курсы от разных онлайн-школ, таких как Skillbox и GeekBrains, в одном месте.

Задачи: — Работа в гибридном формате в Москве. Требования: — Опыт работы с кредитным процессом юридических лиц (средний и крупный бизнес) не менее 3 лет. Условия: — Официальное трудоустройство по Трудовому кодексу или через ИП. — Медицинское страхование (ДМС). — Оплата фитнеса. — Скидки на обучение.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Location: Remote (100%) with preference for Mountain or Pacific time zone Contract Duration: 3 months, with possible extension Hours: 20-30 hours per week _______________________________________________________________________ ABOUT THE ROLE Docker is looking for a Sales Compensation Analyst to join our Finance team on a contract basis and support the administrative backbone of our sales compensation program. This is a writing-heavy, detail-oriented role. You'll draft and maintain participation agreements, create clear documentation, and manage SPIFF programs in our compensation system. If you can turn complex comp plan language into clear, accurate, plain-English documents, and you enjoy the operational side of sales comp, this role is for you. _______________________________________________________________________ WHAT YOU'LL DO PARTICIPATION AGREEMENTS - Draft, edit, and finalize sales compensation participation agreements and plan documents - Make sure plan terms, quotas, payout mechanics, and eligibility language are accurate and consistent - Manage agreement distribution, tracking, and signature follow-up - Partner with Legal, HR, and Sales leadership to review and approve language DOCUMENTATION - Write and maintain comp plan documentation, process guides, and policy FAQs - Create step-by-step procedures for recurring comp admin tasks - Keep documentation current as plans, territories, and policies change SPIFF ADMINISTRATION - Set up, configure, and maintain SPIFF programs in the compensation system - Track eligibility, calculate payouts, and validate results against program rules - Answer SPIFF questions from sales reps and managers - Audit program data for accuracy before payouts are finalized GENERAL SALES COMP SUPPORT - Help with commission data validation, reconciliation, and dispute resolution - Support quota, territory, and roster updates in the comp system - Respond to rep inquiries with clarity and professionalism - Support monthly commission calculations across multiple compensation plans using SPIFF and Excel _______________________________________________________________________ WHAT YOU BRING REQUIRED - 1-2 years of sales compensation experience - Strong written communication skills, with a proven ability to write clear, precise, professional documents - High attention to detail and comfort working with plan rules, rates, and payout logic - Proficiency in Excel or Google Sheets - Ability to manage multiple deliverables and deadlines independently in a fully remote environment NICE TO HAVE - Hands-on SPIFF administration experience - Experience working in a sales compensation system (for example Xactly, Varicent, CaptivateIQ, Performio, SAP Commissions, or similar) - Experience drafting or editing participation agreements or comp plan documents - Familiarity with CRM data (Salesforce) and how it feeds comp calculations _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE - Participation agreements go out accurate, on time, and with minimal back-and-forth - Documentation is clear enough that reps and managers can find answers on their own - SPIFFs are set up correctly and paid without errors or disputes

Что: Анализировать российский энергетический сектор, следить за изменениями на рынках нефти, газа и электроэнергии, исследовать влияние санкций и международной политики на энергетическую безопасность, готовить аналитические материалы и доклады.

Задачи: поиск коллеги на позицию исследователя, аналитика или эконометриста в Сбер. Требования к стеку включают владение Python, R, Quarto и MATLAB. Условия работы и дополнительные детали не указаны.

Location: Mexico About Improvado Improvado is a fast-growing, AI-powered marketing intelligence platform trusted by global enterprises like ASUS, Docker, and Activision. We simplify complex data for marketing teams, enabling smarter budget decisions, campaign optimization, and ROI growth. Fresh off a $34M Series A funding round, we’re scaling rapidly and seeking passionate problem-solvers to join our mission. Your Impact As an Analyst, you’ll be the frontline hero for marketers, resolving critical data problems that drive their strategic decisions. You’ll use AI as a core part of how you investigate, learn, communicate, and improve your work—while applying your own judgment and taking responsibility for the results. Your work ensures our platform delivers accurate, actionable insights—directly impacting client success and our product’s evolution. What You´ll Do Work AI-First: Use AI throughout your workflow to investigate issues, explore data, develop and check SQL, draft customer communications, and document solutions. Verify outputs, protect sensitive information, and take ownership of the final result. Solve Complex Data Challenges: Investigate issues like missing Reddit conversions by tracing data pipelines from source (API) to SQL transformations. Engage & Empower Customers: Communicate via Helpdesk (Jira) and sometimes using video calls (Google Meet), turning technical roadblocks into trust-building moments. Drive Product Excellence: Collaborate with Engineering, Product, and Customer Success teams to escalate bugs and shape solutions. Become a Platform Expert: Master Improvado’s tools (SQL) and marketing APIs (Facebook, Reddit) to deliver swift, accurate resolutions. Build Knowledge: Document recurring cases to streamline future troubleshooting. What You Bring AI-First Mindset and Skills (Most Important): You proactively use AI to solve problems, learn unfamiliar concepts, and improve the quality and speed of your work. You know how to give AI clear context, ask effective questions, iterate, and critically verify its output rather than accepting it at face value. You’re curious, adaptable, and accountable for your decisions, and you handle sensitive information responsibly. Technical Proficiency: SQL skills (SELECT, filtering, aggregates); familiarity with window functions or ClickHouse/Postgres is a plus. Customer-First Mindset: Passion for translating technical details into clear, empathetic solutions. Collaborative Spirit: Thrive in cross-functional teams and fast-paced environments. Fluent English: Communicate complex ideas clearly to global clients. How hiring process looks like Homework assignment (very light, less than 30 minutes) HR interview with two live SQL tasks Final interview with the hiring manager Why Improvado Work Flexibly: Remote-first culture with asynchronous collaboration and results-driven hours. Shape the Future: Work directly with enterprise clients and influence a product used by industry leaders. Generous Time Off: 20 working days PTO + US holidays Vibrant Culture Ready to Untangle Data & Empower Marketers? If you’re curious, proactive, and eager to grow in a scaling startup, apply today! Let’s transform marketing intelligence together.

Location: Москва Workplace: Гибридный О компании Центр управления данными (DataGov) развивает сервисы и практики управления данными для дата-специалистов, продуктовых команд и бизнес-пользователей. В рамках направления Data Quality команда систематизирует практики управления качеством данных и внедряет их в процессы разработки продуктов и построения дата-пайплайнов. Отдельный фокус — автоматизация DQ-процессов с использованием Python, LLM и AI-агентов. Обязанности - Контроль качества данных: обеспечение покрытия данных проверками качества (DQ-контролями) в соответствии с требованиями заказчиков; - Сбор и анализ требований: взаимодействие с внутренними заказчиками, выявление потребностей и формализация требований к качеству данных; - Разработка DQ-контролей: создание, настройка и сопровождение проверок качества данных во внутреннем инструменте компании; - Аналитика и отчётность: сбор, систематизация и визуализация статистики по результатам проведённого анализа и работы DQ-контролей; - Ad-hoc аналитика: выполнение разовых аналитических запросов для решения операционных задач, исследование данных и подготовка выводов Требования В том числе Студенты бакалавриата, специалитета или магистратуры; SQL: написание запросов с использованием `SELECT`, `JOIN`, `GROUP BY`, `HAVING`, подзапросов и агрегатных функций; - Excel: работа с таблицами, формулами и сводными таблицами; - Основы работы с базами данных: понимание реляционной модели данных, структуры таблиц и связей между ними; - Аналитические навыки: умение исследовать данные, выявлять аномалии, находить закономерности и формулировать выводы; - Документирование требований: умение структурировать и описывать бизнес-требования, формировать понятные технические задания; Будет преимуществом: - Основы Data Quality: понимание основных характеристик качества данных; - Grafana: базовые навыки работы с дашбордами, визуализации и мониторинга показателей, понимание принципов работы панелей, фильтров и запросов к источникам данных; - Python: базовое знание языка, понимание основ обработки данных; - BI-инструменты: опыт работы или знакомство с Power BI, Yandex DataLens, Tableau, Apache Superset или аналогичными инструментами визуализации и анализа данных; - Продвинутый SQL: оконные функции, CTE, работа со сложными запросами; - ETL/ELT: общее понимание процессов загрузки, преобразования и обработки данных; - Git: базовые навыки работы с системой контроля версий. Условия Cобственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку. А еще: Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Москва Workplace: Гибридный О компании Мы ищем стажера в команду продукта DataHouse для решения задач, связанных с аналитическим сопровождением работы процессов экосистемного хранилища данных. Это отличная возможность узнать, как работает современное хранилище данных изнутри, и приобрести опыт работы со стеком Hadoop, Pyspark, Airflow. Обязанности Отслеживать работу регламентных процессов обновления данных, реагировать на сбои и исследовать причины этих сбоев; Выполнять рутинные задачи: постановка на мониторинг, закрытие инцидентов, консультирование коллег по типовым вопросам; Выгружать данные из корпоративных систем и проводить их анализ, готовить отчеты; Подключать новые источники данных к системе мониторинга, настраивать дэшборды и алерты; Писать скрипты и Web-приложения для автоматизации решения аналитических задач, в том числе с использованием LLM; Взаимодействовать с дата-аналитиками, инженерами данных, техлидами, DevOps, Data Governance, сотрудниками поддержки и пользователями данных в рамках текущих задач Требования В том числе Студенты бакалавриата, специалитета или магистратуры; Базовое знание SQL; Опыт работы с данными на Python (например, polars / pandas) на уровне базовых операций (чтение, агрегирование, соединение); Будет плюсом опыт работы с Airflow, Grafana; Готовность приобретать опыт на реальных задачах; Умение ответственно подходить к своей работе и поручениям руководителя; Умение организовывать свою деятельность (соблюдение сроков, формирование базы знаний, оформление документации и т.д.) Условия Cобственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку. А еще: Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Задачи: разработка, валидация, улучшение и поддержка ключевых маркетинговых моделей прогнозирования (долгосрочный LTV, выручка, retention); построение и сопровождение надёжных time-based валидаций и backtesting-подходов;

Задачи: сбор и формализация требований от бизнес-заказчиков; проектирование логики решения согласно бизнес-требованиям;

Роль сфокусирована на работе с маркетинговыми данными, обеспечении консистентности ключевых метрик (LTV, CAC, ROI) и подготовке инсайтов для принятия решений: работа с большими датасетами, анализ маркетинговых воронок, помощь команде в понимании эффективности каналов. Задачи: анализ маркетинговой эффективности по каналам (Meta, Google и др.);

• специалиста с аналитическим мышлением, навыками работы с данными и желанием развиваться в динамично развивающейся сфере цифровых активов.

Location: Hamburg 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. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Act as a strategic analytical partner to Product, Data Science, and Business leads. You proactively translate ambiguous business challenges into analytical roadmaps and turn complex ML insights into clear recommendations that shape product strategy. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Drive analytical projects with end-to-end ownership: from initial scoping and hypothesis generation to stakeholder alignment and post-decision impact. Establish reusable frameworks and best practices that raise the bar for how we use data across teams. - Mentor and guide other analysts on the team, fostering a culture of high analytical standards, strong business intuition, and effective communication. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, or Data Science, with a proven track record of delivering measurable business impact and working closely with senior cross-functional stakeholders.. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You can articulate complex algorithmic and behavioral insights clearly to non-technical stakeholders, align differing viewpoints, and comfortably present recommendations to leadership. - You thrive with ambiguity and have a high degree of ownership. You proactively identify high-value opportunities instead of waiting for tasks to be assigned, and you take pride in seeing initiatives through to real-world outcomes. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. 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.

• опыт в бизнес- или продуктовом анализе от 1 года. • понимание процессов разработки ПО и Agile/Scrum.

- Осуществление 2-ой и 3-й линии технической поддержки по продуктам 1С.

• Мониторинг и анализ событий ИБ с использованием SIEM, EDR и иных средств защиты. • Расследование инцидентов ИБ, эскалация инцидентов в соответствии с установленными процедурами.