Trustworthy AI Data Scientist

Department: Data Science & Big Data Analytics
Location: Barcelona (Spain)
Sector: Internet and technology
Vacancies: 1
Discipline: R&D
Work modality: Hybrid

EURECAT

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern

Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I activities and projects, offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors, accelerating innovation, reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I, has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.

Job description

The Opportunity

You will join the Trustworthy AI team, a tight group of researchers and developers working on cutting-edge projects in the fields of explainable AI, AI compliance, data quality and data value for data markets and data spaces. We’d love for a smart, curious person, who can dive into a diversity of topics and efficiently translate research outputs into AI and data prototypes or products.

Who we are?

The Big Data & Data Science Unit takes part in R&D projects covering a diversity of domains for stakeholders in Europe, Spain and Catalunya. We believe that the benefits of AI and data should be fairly distributed among contributing individuals and believe in the social impact of what we do. We develop domain-agnostic technology, meaning that we’re a curious bunch, we value a research mindset and have to be able to quickly, but reliably prototype our ideas. Cooperation is chief amongst us and the expertise of one member quickly diffuses through the team, such that the others can benefit from it as well.

What you’ll do

Analyse project requirements and identify research directions.
Research the state of the art, synthesise findings, identify research and technology gaps.
Conceptualise, design and implement AI and data solutions.
Communicate your results with the team and project stakeholders. If interested, join us in writing papers and presenting them in relevant venues.
Participate in writing project proposals - this is an opportunity to target projects and areas that we’re passionate about and seek funding.

Details

This is a full-time position, in our Barcelona offices or any of our other local offices (Corporate offices of Eurecat in the territory).

The team works partly remote (2 days/week at the office).

To apply

Be sure to include links to your portfolio of projects (your Git page, links to projects you’ve developed and deployed, …) or scientific papers.

Requirements

Must-haves in a candidate

Passion for data and AI, with the added motivation for fair and trustworthy technology.
Experience in at least one of: explainable/interpretable AI, bias assessment, privacy enhancing technologies, AI/Data compliance.
You tick at least one of the following boxes:

· Strong background in data science, Machine/Deep Learning, software development

· MSc in Computer Science, Physics, Mathematics, Bioinformatics, or similar field

· Convincing portfolio of data science projects sharable on Git

You code: Python, R, Java, whatever you feel comfortable with. We appreciate clean and readable code, following coding standards.
You can manage and query both SQL and NoSQL databases.
Write grant proposals to fund the work that matters to us. From smaller, local project, to top-grade, multi-national European consortia.

Nice to Have

Prior experience with any of the following: data governance, data value, data markets, ontologies, knowledge management.
Experience with any of: Generative AI, Neurosymbolic AI, Federated Learning
MLOps - You know how to develop and test AI pipelines, from data ingestion, processing, to model development and evaluation.
Extra points if you have already been exposed to Data Spaces.

Department: Data Science & Big Data Analytics
Location: Barcelona (Spain)
Sector: Internet and technology
Vacancies: 1
Discipline: R&D
Work modality: Hybrid

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