Data Scientist

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 is an applied role focused on building and deploying solutions that directly enhance our platform’s capabilities. 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.

• 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
• Select and implement proven algorithms to enhance & expand platform capabilities
• 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

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
• Strong programming skills in Python, with proficiency in data science libraries (Num Py, 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 Tensor Flow
• Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar)
• Knowledge of MLOps practices and tools for experiment tracking
• Strong analytical mindset with a focus on solving real-world problems
• Excellent communication skills to present findings to technical and non-technical stakeholders

• Experience with large language 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
• Familiarity with cloud platforms (AWS, Azure, or GCP) for ML model deployment
• Experience with big data processing frameworks like Apache Spark
• Knowledge of No
  
  SQL databases (Mongo
  
  DB, Elasticsearch) for handling unstructured…