39 вакансий в категории Data Science удаленно
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Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
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Shelf is an award-winning, intelligent knowledge management platform for companies and their customer support operations. Advanced AI and powerful search helps agents solve customer issues on the first call.
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On behalf of Presenso, part of SKF group, we are looking for a talented, dynamic, high impact data-scientist with full motivation and energy to be part of the Data-Science department.
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Thrasio buys and invests in developing FBA brands on Amazon. We are becoming one of the largest and most profitable consumer product companies in the Amazon ecosystem while building an amazing place to work, full of people who love to come in every day.
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We’ve had a market presence in Ukraine since 2009. This is the Global R&D center with more than 120 employees supporting 20 top fuel retail customers which operate on 5 continents and 40+ countries.
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We’re looking for a Data Analyst with strong skills in Python and SQL. You will build data pipelines to analyze team efficiency, user engagement, project progress and work on Data Analytics craft itself. You won’t be bored here.
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Технические требования: > Опыт работы на позиции DS от 1 года. Использование пакетов numpy, pandas, scikit-learn итд. > Математический бэкграунд: ИПСА, Мехмат, Кубик, УКУ итп.
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On behalf of Ciklum Digital, Ciklum is looking for a Senior Data Scientist to join the UA team on a full-time basis. You will join a highly motivated team and will be working on a modern e-commerce solution for our existing client.
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— 3+ year commercial experience with hands-on Python development and NLP — Solid practical and theoretical knowledge of Statistics, Machine Learning and Deep Learning — Theoretical understanding, practical implementation of classical NLP and Neutral Network driven NLP — Familiarity...
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Company Overview: PandaDoc is an all-in-one document automation software for sales teams focused on closing deals fast, trusting their forecasts, and standing out from the crowd.
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The team is working on creating a state-of-the-art Data Platform. The main objectives of the team are to address our own, our clients and clients’ end-users needs through information extraction and knowledge gathering.
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We’re looking for a Senior AI/ML engineer to join a team of our USA client that develops SaaS cloud-based microservice solutions for a global community for Small Businesses.
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Werush — product company that works in Digital marketing, we deal with creation, development and promotion of our products on Western markets. Our head office is located in Riga, and our development department is located In Kyiv.
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Growing RnD project with a need of improved ad-hoc and dashboard-type analytics for increasing number of data sources. We want to build ML models to proactively find data vendors’ inconsistencies. This approach would optimize work with constantly updating fundamental data.
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About Virtido Virtido is an entrepreneurial and innovative IT company headquartered in Zurich, Switzerland.
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Product: Сloud-based, AI-driven SaaS solution using advanced predictive analytics and proactive device insights to monitor your fleet’s performance.
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Sciforce is looking for an experienced Machine Learning Engineer to strengthen our ML experts team. You’ll have a chance to work on the voice technology-related project. You will be focused on delivering new features to the based AI product.
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Project: Individual will become a trusted strategist of market forecasts for world manufactures, which use market intelligence platform.
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MindCraft is the Data Science Consulting company based n Lviv, Ukraine focused exclusively on Data Science engineering We apply AI and ML methods like Deep Learning, Statistics, and custom engineered optimizations to resolve document processing, computer vision, and natural...
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— 2-4 years of experience working in data management and analysis field — Experience with data coding / architecture a strong plus — Strong Excel knowledge (incl.