Basic

Intermediate Data Scientist - Hiring Now

Lisboa, Portugal Company: Jobio Client / Employer: Imaginary Cloud
Posted: 18.05.2026
Closing date: 02.07.2026
Job reference: bd3ceef1d0c70ffcd2fbf3fa9489d204

Job information

Location
Lisboa, Portugal
Company
Jobio
Client / Employer
Imaginary Cloud
Job reference
bd3ceef1d0c70ffcd2fbf3fa9489d204
Listing type
Basic
EU work permit required
No
Posted
18.05.2026
Closing date
02.07.2026

Job description

We are on the lookout for a hardworking Intermediate Data Scientist to join our incredible team at Imaginary Cloud in Portugal.Growing your career as a Full Time Intermediate Data Scientist is a fantastic opportunity to develop excellent skills.If you are strong in leadership, project management and have the right experience for the job, then apply for the position of Intermediate Data Scientist at Imaginary Cloud today! If you're passionate about technology and ready for a challenge, join our team of talented individuals and show your technical skills, creativity, and drive for impact. You'll work with the best in the industry in a supportive, happy, and human-centric environment, making seamless technology. That’s why we were recognized as Best Workplace® in Europe (medium companies), Best Quality of Life Company® and the 2nd Best Great Place to Work® in Portugal by Great Place to Work®. See for yourself by checking our Glassdoor reviews . What exciting projects will you have to make an impact and work on? At Imaginary Cloud, our work improves and simplifies people's lives by creating easy and intuitive digital products. Our day-to-day tasks include development, problem-solving, management, and human interaction. Together, we will drive innovation by creating innovative projects for some of the best companies around the world. You'll be able to grow as you engage with multidisciplinary teams, multiple industries, and projects, overcoming the many challenges that will test and build your skills. Here's an overview of the technical skills you'll likely have to embark on our team: 2+ years of working experience in Data Science Academic background in Computer Science, Statistics, Applied Math, or related field A graduate degree in Data Science or another quantitative field is a plus Good proficiency in common Data Science toolkits, such as R, Python, data processing, database programming, and data analytics Analytical mind with a strong problem-solving aptitude Experience collaborating with engineering and product development teams Fluency in English, both spoken and written We seek team members who live in Portugal or are willing and legally qualified to live and work there The salary range for this position is 30 072,00€ - 36 516,00€ gross per year. Get to know our tech stack: Python / Django Javascript (React.js, Angular.js, Vue.js, Node.js) Ruby / Ruby on Rails Git SQL (MySQL / PostgreSQL) Mobile development (iOS, Android, React Native) Linux / Mac OS - command line Automated provisioning tools (Docker / Ansible / Capistrano) NoSQL (Mongo, Redis, etc.) Photoshop / Figma We want you to feel comfortable here. Get the best of your potential with our benefits: Salary according to your experience and performance Paid sick days Health and dental insurance Comfort budget What you get: A remote-first company Flexible working hours Global projects with industry-leading clients A human-centric culture that values people and empowers them Informal environment Team events to share knowledge and celebrate collectively Mentoring and performance appraisals for solid growth potential Does this sound exactly like what you’re looking for? Then apply now, and let's get the conversation started! Benefits of working as a Intermediate Data Scientist in Portugal:● Company offers great benefits ● Company offers career progression opportunities● Attractive package

Skills

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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