Applied Data Scientist

Job Description
Tadaweb is a pioneering technology company with roots in Luxembourg and a growing global presence, with offices in the United Kingdom, France, and the United States. For over 13 years, we’ve been on a mission to make the world a safer place by empowering analysts with the tools they need to access the right information at the right time. Our cutting-edge SaaS platform revolutionizes PAI and OSINT investigations, making them faster, smarter, and more effective, all while adhering to the highest ethical standards by relying solely on publicly available information and supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do.
We are looking for a skilled Data Scientist to help us unlock the power of our data and take our platform into the future. As part of our team, you will play a key role in analyzing our data and designing models that enhance our AI-powered analytics capabilities. You'll work alongside our skilled team of engineers and machine learning experts, directly contributing to next-generation capabilities that enable our users to automate their PAI collection and analysis workflows. This role is crucial to our mission of making the world safer by empowering the human mind with the right information at the right time.
Scope of Work:
Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content.
Analyze data to identify patterns and insights that can enhance our platform's capabilities.
Research and evaluate algorithms for information discovery from publicly available sources.
Design advanced search and recommendation capabilities.
Create and refine machine learning models for risk identification and pattern detection.
Collaborate with engineers to integrate your data science solutions into our platform.
Design and analyze A/B tests to measure the effectiveness of new features and models.
Develop data visualization dashboards to communicate insights to users and stakeholders.
Apply responsible AI practices in all aspects of model development.
Analyze model performance, diagnose issues, and recommend improvements.
Research and evaluate emerging technologies in NLP, information retrieval, and ML.
Document methodologies, model architectures, and experimental results.
Mentor junior team members and contribute to the data science community of practice.
Your Profile:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus).
Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn).
Experience with SQL for data querying and analysis.
Solid understanding of machine learning algorithms, statistical methods, and predictive modeling.
Experience with NLP techniques for text analysis, classification, and information extraction.
Knowledge of deep learning frameworks such as PyTorch or TensorFlow.
Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar).
Strong analytical mindset with a focus on solving real-world problems.
Excellent communication skills to present findings to technical and non-technical stakeholders.
Fluent in English.
You get bonus points if you have any of the following:
Experience with large models and generative AI technologies.
Background in information retrieval systems or search engine development.
Experience with OSINT or intelligence analysis tools and methodologies.
Understanding of data privacy regulations and security considerations.
Experience with time series analysis and anomaly detection.
Familiarity with A/B testing and experimentation design.
Experience working with PAI sources and analytical techniques.
Knowledge of graph databases and network analysis for relationship mapping.
Open-source contributions or research publications in relevant fields.
Familiarity with cloud platforms (AWS, Azure, or GCP) for ML model deployment.
Knowledge of MLOps practices and tools for experiment tracking.
Experience with big data processing frameworks like Apache Spark.
Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data.
Experience with data versioning and feature stores for machine learning.
Proficiency in model deployment using containerization (Docker, Kubernetes).
What we offer:
The opportunity to join a growing tech company, with strong product-market fit and an ambitious roadmap.
The chance to join a human-focused company that genuinely cares about its employees and core values, with international exposure across Luxembourg, Paris, London, and Washington DC.
A focus on team performance over hours at the desk.
A social calendar including family parties, game nights, annual offsites, End of the year events, and more, with an inclusive approach for both younger professionals and parents.
Tadaweb is an equal opportunity employer and we strive to have a team with diverse perspectives, experiences, and backgrounds.
Our culture:
Our company culture is driven by the core values of family first, nothing is impossible, and work hard, play harder.
We provide a healthy and positive culture that cares about employee wellbeing by creating a great workplace and investing in learning and development.
Our leaders aspire to philosophies of extreme ownership and servant leadership.

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