Data Scientist вакансии

· Разработка и совершенствование моделей: Проектирование,. оценка и постоянное улучшение прогнозных моделей для выявления рисков,.

-Улучшать текущие и разработка новых моделей для рекомендаций. -Исследовать современные подходы.

Модели продаж: строить и улучшать маркетинг-микс модели продаж брендов.

• Полный цикл разработки моделей: Проектирование, обучение, валидация и внедрение скоринговых и предиктивных моделей для оценки кредитоспособности заемщиков.

Ищем специалиста по данным для развития аналитики и внедрения ML-моделей. Предстоит решать задачи прогнозирования, расширять...

Разработкой AI агентов на основе современных генеративных сеток (GigaChat и OpenSource); Разработкой системы офлайн- и онлайн-метрик для оценки качества LLM-приложений;

Построением ML-моделей прогноза продаж и клиентопотока в отделениях Сбера.

ElevenLabs is looking for a Finance Data Scientist to deliver audit-ready finance analysis forecasting and pricing insights.

• Построение и поддерживание интеграции с Казахстанским ИС МПТ (True API, управляемым ISMET) для извлечения данных о продуктах, запасах и дистрибуции.

Требования: умеешь писать чистый и понятный код на современном Python; хорошо ориентируешься в классическом ML и соответствующих библиотеках (scikit-learn, CatBoost);

Alpaca is looking for a Senior Data Scientist AI Evaluation to design model evaluations, establish quality standards, and improve AI systems.

– Опыт работы Data Scientist от пяти лет. – Уверенное владение Python или R для анализа данных и разработки алгоритмов.

Location: Taguig, National Capital Region Workplace: Hybrid Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd, is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a regulated financial institution with the speed and convenience of a modern banking experience. Here, product, risk, compliance, operations, technology, and customer experience work closely together to build and run a modern bank. We work with fewer layers, close collaboration, and a culture where every voice can make a difference. If you want to build reliable financial systems at speed, take on real operational complexity, and help raise banking standards across the Philippines, come build with us. ABOUT THE ROLE You'll own credit scoring across the full customer lifecycle — from application decisions to behavioral models that drive portfolio profitability. WHAT YOU'LL DO - Build and improve Application and Behavioral Scorecards that drive underwriting and collections decisions across live credit products. - Work within a regulated environment — prepare model documentation and defend modeling decisions to internal governance and external reviewers. - Collaborate with product, analytics, and engineering to translate model outputs into strategy changes and implementation specs. WHAT YOU'LL OWN - Own the full modeling cycle: data exploration, feature design, model build, validation, deployment specs, and post-production monitoring. - Track scorecard quality — AUC, KS, bad rate, stability index — and validate against real portfolio outcomes via NPV and backtesting. - Prepare model documentation and governance artifacts for regulatory review. - Shape credit strategy — your models directly influence approval, pricing, and collection decisions, not just inform them. WHAT MAKES YOU A STRONG FIT - 3+ years of hands-on experience building credit risk models — Application Scorecards and/or Behavioral Scorecards specifically (ECL/IFRS9-only experience does not substitute). - Experience with model audits, documentation, or regulatory review support. - Strong Python (pandas, scikit-learn) and SQL — you build models yourself, not just review others' work. - Experience covering the full lifecycle: data, feature engineering, validation, and production monitoring. WHAT WE OFFER WORK AND OWNERSHIP - Hybrid-first work environment with a modern office in Bonifacio Global City, Manila - Company-provided tools and equipment - Work with an international team combining global fintech experience with deep Philippine market knowledge - Direct access to decision-makers and a real voice in how we build for the Philippine market HEALTH AND TIME OFF - Medical insurance for you and your family - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave LEARNING AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE You'll be one of the founding data scientist on Replit's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments. This role is for someone who doesn't wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build. YOU WILL: - Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout - Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You'll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue - Help set the experimentation standards teams rely on for Replit's highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone - Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn't feasible, such as pricing changes and regional launches - Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift - Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior - Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building - Partner with Data Engineering on a shared metrics layer and experimentation tooling REQUIRED SKILLS AND EXPERIENCE - 6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products - Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure - Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow - Experience establishing experimentation standards or platforms adopted by multiple teams - Expert SQL and Python - A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders - Heavy, practical use of AI tools to move faster in your own work PREFERRED QUALIFICATIONS - Comfortable building your own datasets in dbt; - Pricing, packaging, or monetization analysis for usage- or credit-based products - International or mobile growth experience - MS or PhD in statistics, economics, computer science, or another quantitative field BONUS POINTS - Experience with multi-armed bandits or adaptive experimentation - Familiarity with developer tools, AI products, or creator platforms This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United Kingdom ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician 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 an experienced Senior/Principal Statistician Consultant to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development. Key Responsibilities Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials. Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies. Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation. Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance. Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA. Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams. Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans. Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges. Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents. Identify statistical risks and recommend appropriate solutions throughout the clinical development process. Provide technical guidance and mentorship to statisticians and other team members, as appropriate. Required Qualifications and Experience PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered. Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry. Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies. Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports. Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses. Experience supporting clinical development programs in oncology, rare diseases, and/or neuroscience. Experience supporting regulatory submissions and health authority interactions. Experience with complex clinical trial designs and advanced statistical methodologies. Proficiency in statistical programming tools such as SAS and/or R. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently and collaborate effectively with global cross-functional teams. 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 #LI-Principal #contract

Location: European Union ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician 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 an experienced Senior/Principal Statistician Consultant to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development. Key Responsibilities Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials. Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies. Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation. Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance. Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA. Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams. Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans. Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges. Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents. Identify statistical risks and recommend appropriate solutions throughout the clinical development process. Provide technical guidance and mentorship to statisticians and other team members, as appropriate. Required Qualifications and Experience PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered. Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry. Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies. Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports. Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses. Experience supporting clinical development programs in oncology, rare diseases, and/or neuroscience. Experience supporting regulatory submissions and health authority interactions. Experience with complex clinical trial designs and advanced statistical methodologies. Proficiency in statistical programming tools such as SAS and/or R. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently and collaborate effectively with global cross-functional teams. 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 #LI-Principal #contract

Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets.

hands-on дата-сайентист/инженер в одном лице (в идеале). Строим модели на производстве.