Data Scientist in Genf

Aufgabenbeschreibung

The skills we value in Data Scientist candidates are:

• Writing algorithms – ability to write algorithms to identify networks, trends, anomalies & predictions incl.

• Recursive algorithms

• Divide and conquer algorithms

• Graph algorithms

• Centrality algorithms

• Pathfinding algorithms

• Supervised & unsupervised machine learning algorithms

• Data parsing – experience in wrangling structured and unstructured multi-source data, ability to communicate data to non-technical stakeholders

• Programming and technical proficiency – Python, Pandas, SQL, R, machine learning, local AI systems, NLP, digital forensics, cyber security

• Hypothesis-led investigation – experience in testing the probability of hypotheses and leveraging data-mining skills to recognise patterns / draw sound conclusions

• Discerning analysis – a critical eye to identify broken imports, missing values, LLM errors, graph theory, network analysis

New employees would be engaged in investigations from the outset, here is what we value in all new recruits:

• An aptitude for OSINT research and investigation

• Tactical empathy to understand the motivations of bad actors, intelligence sources and clients alike

• Active listening and a collaborative mindset are essential for brain-storming with an open dialogue

• High standard and literacy to communicate the relevant intelligence concisely

• Unique knowledge bases or skillsets bring a new way of thinking to the team

• Adaptability as each project could ask you step into a new role and / or travel abroad

• Fluent English is required for all roles

• Knowledge of other languages is highly desirable

• Candidates should be prepared to work from our office in Geneva, Switzerland

Erwartete Qualifikationen

• Fluent English is required for all roles

• Candidates should be prepared to work from our office in Geneva, Switzerland

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