Data Scientist вакансии

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

О компании и продукте Мобильная game development-компания развивает один из самых успешных ad-driven продуктов в мире - digital coloring book с многомиллионной аудиторией. Ищем Lead Data Scientist, который будет развивать ML-решения для рекламной монетизации, персонализации и рекомендаций, а также вести и менторить Data Science-команду. Почему стоит рассмотреть • Прямое влияние на рекламную выручку, engagement, retention и LTV продукта • Работа с большими поведенческими данными и ML-моделями в продукте с миллионами пользователей • Возможность формировать Data Science-направление, roadmap и технические стандарты команды • Кросс-функциональная работа с Product, Engineering, Analytics и Ad Monetization Важно • 5+ лет опыта в Data Science, желательно в consumer mobile-продуктах • Обязателен опыт advertising monetization, revenue optimization или advertising analytics • Опыт разработки recommendation, personalization или ranking systems • Сильные Python и SQL • Практический опыт с ML: classification, regression, ranking, forecasting, predictive modeling • Понимание A/B-тестирования, applied statistics и работы с большими behavioral datasets • Опыт технического лидерства или менторинга Data Scientists

Задачи: — Руководство и наставничество в команде Data Science Требования: — Опыт работы в Data Science не менее 5 лет, предпочтительно в мобильных потребительских продуктах — Глубокие знания в области монетизации рекламы, оптимизации доходов или аналитики рекламы — Опыт работы с системами рекомендаций, персонализации или ранжирования — Продвинутые навыки Python и SQL — Экспертиза в машинном обучении, предиктивном моделировании, прогнозировании и прикладной статистике — Опыт работы с большими поведенческими наборами данных — Опыт руководства или наставничества в командах Data Science — Родной русский язык Будет преимуществом: — Знание и опыт работы с AdMob, AppLovin, Unity Ads, ironSource — Опыт с MLOps и облачными платформами AWS, GCP, Azure — Знания в области LLMs и генеративного ИИ

Задачи: — управление полным циклом разработки моделей и ML-решений от постановки задачи до передачи на мониторинг; — формирование бэклога проектов; — генерация подходящих ML-решений для задач бизнеса; — формирование бизнес-технических моделей и технических заданий смежным стримам и командам.

Задачи: — участвовать в разработке и валидации моделей кредитного скоринга — регулярно запускать и контролировать ML-пайплайны — мониторить производительность и стабильность моделей — проводить плановое переобучение моделей — готовить отчёты по производительности моделей, включая Gini / KS — поддерживать модели в продакшене Требования: — от 2 лет опыта в Data Science — понимание принципов кредитного скоринга — узбекский язык обязателен — опыт работы в банковской сфере или финтехе — уверенный SQL и Python, практический опыт с Apache Spark — опыт внедрения и сопровождения ML-моделей в продакшене — понимание MLOps и полного жизненного цикла ML-моделей Будет большим плюсом: — опыт работы в банках или финтех-компаниях Узбекистана Условия: — полная занятость — зарплата до 4000 USD на руки — Ташкент, работа из офиса — долгосрочный проект

Задачи: — Разрабатывать и внедрять ML-модели для прогнозирования поведения клиентов-физических лиц и розничного продуктового портфеля Банка — Рассчитывать ожидаемые денежные потоки по кредитным и пассивным продуктам Банка Требования: — Опыт работы в банковской сфере — Опыт разработки и внедрения ML-моделей от сырых данных до production — Работа с табличными данными — Свободное владение Python: Pandas, NumPy, Matplotlib (или аналогичными инструментами визуализации) — Знание SQL: оконные функции, сложные JOIN, оптимизация запросов к БД — Хорошее владение ML-библиотеками: CatBoost, LightGBM, XGBoost, Scikit-learn — Умение проводить стресс-тесты и А/В-тесты — Понимание особенностей розничных банковских бизнес-процессов — Преимуществом будет знание MLflow, Airflow, Butch Scoring, Docker, Spark / PySpark Условия: — Офисный формат работы — Офис в центре Москвы

Задачи: — Разработка моделей для рекомендательных систем CVM — Рекомендация персональных предложений в мобильном приложении, рекомендации докупа в корзине, рекомендации в карточке товара Требования: — Высшее образование — Навыки построения авторегрессионных моделей (семейство ARIMA, экспоненциальное сглаживание, Prophet и тд) и деревяных моделей (случайный лес, бустинги) в задачах прогнозирования — Высокий уровень Python, средний уровень SQL — Знание и опыт использования классических рекомендательных алгоритмов (матричная факторизация), а также более продвинутых (бустинги, нейронные сети) — Умение работать с очисткой от выбросов, сглаживания временного ряда — Приветствуется опыт работы с нейронными сетями в задачах прогнозирования Условия: — Работа в компании с мировыми стандартами и легендарной историей — Оформление в ИТ аккредитованную компанию — Интересные задачи и профессиональное развитие — Конкурентоспособный социальный пакет — Гибридный формат работы

О компании Points Health - это экосистема высокоточных маркетинговых решений для фармацевтических брендов. Компания работает с данными более чем 38 000 аптек по всей России и внедряет современные методы аналитики. Роль и задачи Ищут сильного лидера и эксперта, который будет ключевым звеном в трансформации больших и грязных фармацевтических данных в ценные бизнес-инсайты. Обязанности включают управление командами, выстраивание архитектуры данных, методологии очистки и анализа, создание прогностических моделей для повышения эффективности продаж и маркетинга. Ключевые обязанности: Управление и стратегия: — Разработка стратегии работы с данными для поддержки и развития продуктов "Stock Index" и "Мой Бонус". Работа с данными (Data Engineering): — Управление ETL-процессами: сбор, очистка, стандартизация и валидация больших массивов данных из различных источников. — Обеспечение высокого качества и надежности данных для аналитики. Анализ и моделирование: — Применение многомерных методов анализа данных: регрессионный, кластерный, факторный анализ. — Разработка прогностических и "what-if" моделей для прогнозирования продаж, оценки маркетинговых активностей и ценообразования. — Построение и валидация моделей для оптимизации товарного запаса и предотвращения дефектуры. Взаимодействие с бизнесом: — Трансформация сложных аналитических выводов в понятные бизнес-рекомендации для топ-менеджмента и клиентов. — Сотрудничество с продуктовыми командами для внедрения моделей в продукты Points Health. Ключевые требования Опыт: — От 3 лет в Data Science, управлении аналитикой или аналогичных ролях с опытом руководства проектами или командами. — Опыт в фармацевтической отрасли будет преимуществом. Образование: — Высшее образование (Магистр или PhD) в математике, статистике, эконометрике, компьютерных науках, Data Science или смежных дисциплинах. Технические навыки: — Экспертный уровень владения Python (pandas, scikit-learn, statsmodels, PyMC) и SQL. — Опыт с библиотеками машинного обучения и статистического моделирования. — Глубокое знание методов экстраполяции, агрегации, кластерного и факторного анализа, регрессионного анализа (включая байесовские подходы) и эконометрических методов. — Опыт построения прогностических моделей (временные ряды, XGBoost) и "what-if" сценариев. — Опыт работы с большими данными, их очисткой, трансформацией и интеграцией. — Умение создавать дашборды и отчеты в Power BI, Tableau или Qlik. Личные качества: — Сильное аналитическое и критическое мышление. — Управленческая зрелость, способность принимать решения в условиях неопределенности. — Отличные коммуникативные навыки и умение доносить сложные концепции до не-технических специалистов. — Проактивность, ориентация на результат и клиентоориентированность.

Задачи: — разработка моделей по продуктам кредитов физических лиц (КФЛ) для Блока Финансы — модели досрочного погашения кредитов/вкладов ФЛ на портфельном/клиентском уровне — модели эластичности КФЛ — модели рефинансирования КФЛ — модели детекции аномалий по НОСТРО счетам Обязанности: — сбор и подготовка данных (Hadoop, pyspark) — тестирование различных гипотез — полный пайплайн разработки модели (бустинг, нейронные сети, временные ряды) — общение с заказчиками и Data Engineer Требования: — опыт работы Data Scientist от 2 лет — образование по направлениям "Математика", «Физика», «Мат. методы в экономике» — глубокие знания в области теории вероятностей, статистики — понимание алгоритмов ML-моделей (регрессии, классификации и т. д.) — владение Python (numpy, sklearn, pandas, matplotlib/seaborn/plotly, catboost/lightgbm/xgboost и др.) — будет плюсом владение одним из фреймворков DL, pyspark Условия: — комфортный современный офис рядом с м. Кутузовская — офисный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия (зависит от должности и системы премирования) — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — строить ML модели на основе различных данных: табличные, графовые, NLP, GEO, последовательности событий (кликстрим, транзакции и т.д.) — писать production код и выводить его в ПРОМ — улучшать процесс построения моделей, разрабатывать собственные прикладные модули командного фреймворка разработки для повышения производительности DS и улучшения качества кода в промышленной среде — выдвигать data-driven гипотезы/предложения для запуска новых механик, а также поиск инсайтов в данных. Требования: — глубокое знание классического ML — понимание основных Deep Learning подходов — продвинутое знание SQL — отличное знание Python — понимание и опыт АB-тестирования. Будет плюсом: — понимание специфики разработки ML-технологий, начиная с формулировки бизнес-проблемы, заканчивая выведением на регулярную основу в прод — опыт решения задач ранжирования или Real Time Bidding — опыт работы с Pyspark, Greenplum. Условия: — комфортный современный офис рядом с м. Кутузовская — офисный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data.  As an intern on our team, you'll work on technical challenges that have real impact on our product and business, and we're looking for interns with strong foundations in coding and statistics and  who are clear communicators with both technical and non-technical audiences. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Own a scoped project end to end—from framing the question with Product, Engineering, Design, and Data Science partners through delivering the work—with support from a manager and mentor. Analyze user behavior, product performance, or business data to uncover insights and translate them into recommendations for businessDesign and evaluate experiments and develop metrics that help teams understand the impact of product changes.Build models to understand user behavior and predict growth Build and improve  data pipelines and tools that make product data more scalable and accessible Focus areas may include analytics, experimentation, or infrastructure - based on your interests  and business needs Some projects you could work on: Analyze how people adopt and use a new or existing Figma product experience, define meaningful success metrics, and turn patterns in engagement and retention into product recommendations. Build and validate a new analytical method or tool that expands how Figma’s Data Science team solves recurring problems. Study marketing or customer-journey data to identify drivers of acquisition, conversion, or retention. Develop and evaluate forecasts or models that help teams anticipate user or business trends and plan more effectively We'd love to hear from you if you have: Experience using SQL and a scripting language such as Python or R to clean, explore, and analyze data through research, projects, or prior work. A solid foundation in statistics and quantitative reasoning, with exposure to areas such as experimentation, forecasting, statistical modeling, causal inference, or data modeling. The ability to structure open-ended questions, validate your analysis, and connect findings to product or business decisions. Curiosity, initiative, and strong communication and collaboration skills with both technical and non-technical partners. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $46 — $46 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Задачи: — кастомизировать модели ранжирования — персонализировать поисковую выдачу и работать с её разнообразием — генерировать описание товара по фотографии — развивать поиск по продавцам и интегрировать его в основную выдачу.

Responsibilities: • Build and improve biometrics, algorithms, and data-driven insights for the Mira App. • Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities. Требования к кандидату: - 3+ years of experience in data science - Strong Python and SQL skills - Experience with health or wearable data - Experience in consumer health or medical devices - Strong model validation and performance evaluation skills

Задачи: — работать с большими данными в экосистеме Hadoop (PySpark, SQL) — от выгрузки и разведки до построения витрин для моделей — разрабатывать индивидуальные модели эластичности и клиентского поведения в сегменте B2C — от прототипа до продвинутого пайплайна обучения и предсказаний — проверять бизнес-гипотезы и превращать их в измеримый эффект: дизайн и оценка A/B-тестов (мэтчинг, продвинутые методы causal inference, интерпретация результатов) — выстраивать коммуникацию с заказчиками: согласовывать метрики, защищать подходы, показывать ценность данных на понятном языке — обеспечивать надёжность и мониторинг внедрённых решений — чтобы модель работала стабильно и приносила пользу каждый день. Требования: — опыт работы Data Scientist от 5 лет — высшее техническое образование (будет плюсом если выпускник - МГУ, МФТИ, ВШЭ и других ведущих вузов страны) — понимание теории вероятностей и статистики — уверенное владение широким спектром ML-алгоритмов — регрессия, классификация, кластеризация, а также uplift-моделирование (способность оценивать причинно-следственные эффекты, а не просто предсказывать) — владение Python и ML библиотеками (numpy, sklearn, pandas, matplotlib/seaborn/plotly, catboost/lightgbm/xgboost, etc.) — плюсом будет опыт работы с pytorch, pyspark. Условия: — комфортный современный офис рядом с м. Кутузовская — возможность выбрать удобный график – офис/гибрид — ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: United States ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior Statistical Programmer to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking a highly skilled Senior Statistical Programmer to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams. Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career! Main Job Tasks The Senior Statistical Programmer is a delivery-focused role responsible for leading and supporting aspects of the programming effort to deliver technical programming and information components of a project. The position requires strong technical skills, thorough knowledge of the industry, and demonstrated experience leading statistical programming activities and providing technical guidance to other programmers . The individual should be able to independently perform programming tasks, oversee programming deliverables, and effectively collaborate with cross-functional teams and external vendors. Responsibilities Programing for clinical trials: Program and validate derived datasets, tables, figures, listings. Process data from the external sources. Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations. Oversee programing work/deliverables from CROs. Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages. Electronic submissions: Program and validate CDISC compliant deliveries for the electronic submissions. Support in the creation of supporting documentation for submissions. Project Management: Ensure programming deliverables are on time and of high quality. Help managing internal contractors and external vendors. Standards and Guidelines: Participate in development of departmental working instructions and guidelines. Help in creation of enhanced functions/macros and utilities. Qualification & Experience Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline. BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry. Working knowledge of SAS and its various components. Knowledge of R programming in clinical trials Familiarity of the drug development process. Strong SAS and SAS Macro language skills. R programming skils in clinical trials Strong knowledge of industry standards. Ability to work on data integrations (ISS and ISE). Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior #permanent

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Дивизион "Моделирование и исследование данных" отвечает за компетенцию Data Science в Блоке Сеть Продаж. Мы разрабатываем и внедряем end-to-end решения на основе AI в бизнес-процессы Сети Продаж Банка. Ищем человека, вместе с которым мы будем строить топовые AI решения, на основе архитектуры Claw-like & Ouroboros, которые будут в действительности приводить к Disrupt в реальных процессах. Задачи: • разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов • исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros • разрабатывать и дообучать модели машинного обучения (Classic ML, Deep Learning) • разрабатывать алгоритмы взаимодействия ML-моделей и сервисных модулей • принимать участие в разработке архитектуры и дизайна агентов и AI-сервисов • проектировать и разрабатывать backend-части AI-сервиса • принимать участие в оптимизации скорости работы AI-агентов и ML-моделей. Мы ожидаем: • законченное высшее образование • компетенции: Python, Classic ML, Deep Learning, LLM/Agents, MLOps • понимание принципов разработки, внедрения и сопровождения AI-решений • уметь писать хороший и понятный production-ready код на Python, хорошее знание алгоритмов, структур данных • опыт работы с реляционными и нереляционными базами данных • навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использование их в работе будет преимуществом • опыт использования GigaChat, Kandinsky и аналогов в продуктах • инструментальное владение Ai для анализа, генерации и автоматизации • опыт построения отказоустойчивых высоконагруженных распределенных ML систем. Мы готовы предлагать: • график 5/2, офис на м. Кутузовская; • режим работы на выбор - офис или гибрид • достойный уровень вознаграждения (оклад + годовая премия) • возможность стать частью команды, реализующей программы цифровой трансформации банка - на основе передового опыта и инновационных идей • широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счет компании • бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнеров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

Location: Berlin (Germany) Data Scientist - Join Our Innovative Team at think-cell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We're a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things. No corporate bureaucracy – but the resources of a mature business. Our team is made up of experienced senior individual contributors who work independently, challenge each other constructively, and collaborate closely on solving complex problems. It is an environment with a high level of trust, autonomy, and strong opportunities to learn from experienced peers across both technical and business topics. You don't just analyze – you drive. You proactively identify gaps, inefficiencies, and opportunities for improvement, build the foundations to answer questions, and make sure stakeholders don't just receive dashboards, but know what to do with them. Key Responsibilities: Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioural data Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty Create reusable analytical assets, including models, scores, features, and evaluation frameworks Partner with Product, Marketing, Commercial, and other teams to turn complex findings into clear decisions and actions You will be great for this position if you have 3+ years of experience in Data Science, Advanced Analytics, or a comparable role Strong SQL and Python skills, including experience with common data science and machine-learning libraries Solid knowledge of statistical and predictive modelling, feature engineering, and model evaluation Experience operationalizing analytical models for recurring business use A strong understanding of validation, data leakage, bias, uncertainty, and model limitations A pragmatic approach focused on the simplest reliable solution Strong stakeholder management skills and the ability to challenge assumptions and communicate what data can and cannot support A proactive, ownership-driven way of working Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is think-cell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!