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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- 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.

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

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

Your Profile:

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 (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)

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

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

Familiarity with cloud platforms (AWS, Azure, or GCP) for ML model deployment

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)

PhD in Data Science, Computer Science, Statistics, Mathematics, or related fields

Open-source contributions or research publications in relevant fields

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 and with an international exposure with our global team across Luxembourg, Paris, London, and Washington DC

A focus on performance of the team, not hours at the desk.

A social calendar including family parties, games 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 our employees learning and development.

Our leaders aspire to the philosophies of extreme ownership, and servant leadership.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.