Empleos actuales relacionados con Data Scientist - En remoto - Emprego ES
-
Data Scientist
hace 2 horas
En remoto, España Merkur Dosniha SL A tiempo completoHowdy! Are you a data whiz with a knack for numbers and a passion for amusement parks? Merkur Dosniha SL, a frontrunner in the gaming industry, is on the lookout for a Data Scientist to join their team. We're a group of 11-50 employees who are all about commitment, innovation, integrity, and social responsibility. We strive to give our customers an...
-
Data Scientist, 100% en Remoto
hace 2 semanas
En remoto, España Grupo Digital A tiempo completoData Scientist en 100% En remoto. Desde Grupo Digital buscamos un/a Data Scientist para trabajar en un proyecto estable. Ubicación Madrid Horario jornada completa. Modalidad de trabajo 100 Teletrabajo. Funciones Desarrollo de modelos analíticos y/o de inteligencia artificial. Conocimientos imprescindibles 3 - 4 años de experiência como Data...
-
Data Scientist
hace 7 días
En remoto, España SUPER ESPOT A tiempo completoEmpresa líder en el sector de la salud, esta en la búsqueda de un(a) Data Scientist con más de 2 años de experiência para unirse a nuestro equipo de Analítica Avanzada. Este rol ofrece la oportunidad de trabajar de forma remota y contribuir significativamente al avance de nuestras iniciativas de datos. **Responsabilidades**: **Automatización de...
-
Principal Data Scientist
hace 4 días
En remoto, España Tiger Analytics A tiempo completoTiger Analytics is looking for an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Senior Data...
-
Data Scientist
hace 2 semanas
En remoto, España Cathedral Software SL A tiempo completoCathedral Software is a fast-growing consulting and technology company with a roster of skilled, professional, and experienced staff, offering our clients outstanding knowledge and versatility.We offer all sorts of technological solutions and advanced high-value-added services. Our products are reliable and flexible as we customize them to our clients’...
-
Data Scientist
hace 2 semanas
En remoto, España Cathedral Software SL A tiempo completoCathedral Software is a fast-growing consulting and technology company with a roster of skilled, professional, and experienced staff, offering our clients outstanding knowledge and versatility. We offer all sorts of technological solutions and advanced high-value-added services. Our products are reliable and flexible as we customize them to our clients’...
-
Data Scientist
hace 2 semanas
En remoto, España Cathedral Software SL A tiempo completoCathedral Software is a fast-growing consulting and technology company with a roster of skilled, professional, and experienced staff, offering our clients outstanding knowledge and versatility. We offer all sorts of technological solutions and advanced high-value-added services. Our products are reliable and flexible as we customize them to our clients’...
-
Data Scientist
hace 2 semanas
En remoto, España Cathedral Software SL A tiempo completo**Cathedral Software** is a fast-growing consulting and technology company with a roster of skilled, professional, and experienced staff, offering our clients outstanding knowledge and versatility. We offer all sorts of technological solutions and advanced high-value-added services. Our products are reliable and flexible as we customize them to our...
-
Data Scientist, 100% en Remoto
hace 1 semana
En remoto, España arelance A tiempo completoData Scientist en 100% En remoto. ¿Cómo vas a afrontar tu desarrollo profesional? En Arelance sabemos que las personas son el activo más importante dentro de una empresa por ello invertimos tiempo y dedicación para encontrar los mejores profesionales de hoy y de mañana. No empleamos menos tiempo en escoger en nuestros clientes los mejores proyectos con...
-
Data Scientist
hace 2 semanas
En remoto, España Future Connections A tiempo completoYou are looking for new challenges that encourages you and allows you to continue to grow both professionally and technologically and you have arrived here. Well, then we can only welcome you to Future Connections! For us, Future Connections is not just a company but a common project. It is a way of understanding technology and the Future of...
Data Scientist
hace 2 semanas
We are on a mission to make science open so everyone can live healthy lives on a healthy planet
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher.
We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than 1 billion views and downloads and 2 million citations. Our journals span science, health, humanities and social sciences, engineering, and sustainability. And we continue to expand into new academic disciplines so more researchers can publish open access.
Be part of the publishing revolution and help us transform the way research is published, evaluated, and communicated to the world.
Job Role
- We are looking for a Data Scientist to work on production-ready Artificial Intelligence (AI) to support our industry-leading AI publishing platform. You will focus on recommender systems and work with Product Owners, ML Engineers and Data Engineers to develop solutions that will evolve our cutting edge AI Review Assistant (AIRA).
- Key Responsibilities- Development, optimization and evaluation of ML models and algorithms-
- Technological review of data science solutions and communication to non-technical stakeholders-
- Proactive identification of opportunities for potential AI products within Frontiers-
- Effective collaboration with product managers, ML engineers, software and data engineers design scalable state of the art ML models- Key Requirements- Solid experience of working as a Data Scientist-
- Familiarity with: Regression techniques, ensemble methods, decision trees, clustering techniques-
- Proficiency in Python-
- Willingness to share and adopt best work practices on a common codebase (Python packaging, version control, pull requests, testing, continuous integration)-
- Experience with SQL and big data platforms (e.g. Spark, Azure Databricks)-
- Familiarity with problem specification formulation and translation to functional/non-functional requirements for ML model building-
- Familiarity with identifying under/over fitting in ML models and bias/variance trade-offs-
- Familiarity with algorithm selection giving consideration to accuracy, training time, model complexity, parameters' and features' management- **Benefits**:
With more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe.
Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.
This includes:
100% remote working
Employees now have the flexibility to choose where they want to work, with remote working available on a part
- or full-time basis.
Learning and development
All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time.
Wellbeing
We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance.
Volunteering opportunities
Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.
- Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination - including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With over 600 employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives._
