Data Scientist at GDI

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Data Scientist GDI. Life at GDI - Creating a world free of disinformation and its harms.. Disinformation has become a business. Today’s internet business models reward engagement above all else. These models monetise attention without considering the quality of the content garnering that attention, or the harm that may result. There is a robust and growing community of industry, policy, and civil society advocates pressing for reform of this ecosystem, they all need data to inform their actions.. The Global Disinformation Index was born out of this need for data, specifically the need for transparent, independent neutral disinformation risk ratings across the open web. Thus, GDI was established in 2018 as a not-for-profit entity built on the . three pillars. of neutrality, independence and transparency.. At GDI, you’ll be surrounded by people who want to improve everything and support everyone around them. Our team are passionate about our mission, experts in their fields and are collaborative problem solvers.. We continually strive to model the following behaviours in our interactions with others:. - . Positivity. : Problem solver, not problem raiser.. - . Responsibility. : Make it your problem - if it’s not right, fix it.. - . Trustworthy. : Make sure others can depend on you - If you say you are going to do it, do it.. - . Respect. : treat everyone, especially those with whom we disagree, with courtesy and respect.. The Data Scientist will lead the implementation of the Horizon 2020 A14 Trust project and design and implement GDI’s contribution to the project.. The AI4TRUST project will develop a hybrid system, relying on advanced AI solutions against advanced disinformation techniques to support media professionals and policy makers. The project will monitor, in nearly real time, multiple online social platforms, analysing multimodal (text, audio, visual) content in multiple languages (up to 70% of coverage in EU) with novel AI algorithms, while cooperating in an automated way with an international network of human fact-checkers who will frequently provide validated data to update project algorithms. You will be working closely with GDI team members and the European project consortium to formulate, research, and implement machine learning solutions to detect and analyse online disinformation. Responsibilities include submitting project deliverables, preparing status reports, and integrating solutions with other AI4TRUST teams.. To be a successful candidate, you will need to have proven experience designing, building, and deploying data science and machine learning solutions and the ability to work cross-functionally with large teams. . Main Responsibilities. Research, design, and implement machine learning solutions to detect and analyse online disinformation.. Research, design, and implement ensemble classifiers, or similar, to detect and analyse multimodal content.. Work with the project funders to agree on deliverables, topics and cadence. This can include direct interaction with strategic partners of GDI and deliverables outside the Horizon 2020 project.. Lead the Horizon 2020 work package - responsible for leveraging and integrating the results of partner data.. Coordinate, prepare and release project deliverables on behalf of GDI and track progress towards milestones in line with the project´s work plan ensuring the timely accomplishment of work output, according to the project quality management process.. Some travel may be required during the project for consortium meetings.. Experience and Qualifications. Essential. 3+ years of experience collaborating with teams of data scientists and software engineers.. 1-2 years experience working on academic research projects.. Well-rounded knowledge of statistics, machine learning, and experimental design.. Understanding data modelling and experience working with various data sources (APIs, CSVs, JSON).. Proficiency with the Python machine learning stack and SQL.. Familiarity with Git, Docker, and Kubernetes.. Experience with NLP, social network analysis, data visualisation, interpretability, and exploratory analysis.. Experience building, data pipelines, and deploying machine learning models.. Ability to communicate challenging technical problems to a non-technical audience. Professional fluency in English.. Process and solution oriented.. Preferred. Experience working remotely in a global team.. Experience working in a cross-functional team.. Professional fluency in languages in addition to English.. Location: Remote working. Based in Germany. . Reporting To: Director of Machine Learning (Based in California). Hours and Terms: Full-time. Some flexibility for cross-time zone communication is required. Competitive salary based on location. Fixed-term agreement to end of February 2026 initially.. A place to be your authentic self. We are virtual by design to access a rich diversity of skills, expertise, experiences, and perspectives. Our commitment to neutrality is unwavering – across all of our work around the globe. Our employees are central to our mission and to our impact and we know that having varied perspectives helps generate better ideas to solve the complex challenges.