The goal of the Data Science team is to build Artificial Intelligence models to improve our product. Your mission will be to drive projects end-to-end with a high level of autonomy, and to raise the technical bar of the whole Data Science team.
Compensation
Salary range: 60-70k, based on your level of experience and the competencies you'll demonstrate during the hiring process
5% bonus, based on company and individual performance
Responsibilities
Work hand-in-hand with cybersecurity analysts and product managers to define, challenge and maintain model performance objectives
Collect data, explore, read the state of the art, document, benchmark, develop and deploy, owning the full lifecycle of your projects
Design, plan and prioritize ongoing projects, arbitrating trade-offs between impact, effort and technical debt
Mentor and support junior and mid-level Data Scientists through pairing, code reviews and technical guidance
Drive technology watch, evaluate new techniques and methods, and proactively shape the team's technical roadmap
Requirements
Nice to have: Imbalanced data experience
Nice to have: Large volumes data experience
Nice to have: Production-grade ML systems experience
Support the research and evaluation of deep learning and machine learning models that predict user behavior across a 770 million user base, focusing on multi-objective optimization in the adtech ecosystem.
Responsibilities
Support research and evaluation of deep learning and machine learning models to predict user behavior
Extract patterns from terabytes of data to engineer high-fidelity features for training pipelines
Collaborate with data scientists to test solutions against multi-objective optimization problems through offline experiments and A/B tests
Requirements
Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field
Senior Data Scientist specializing in Generative AI for a banking/finance/insurance client, responsible for designing, developing, and industrializing AI models to address fraud detection, risk optimization, process automation, and customer experience.
Responsibilities
Design and develop AI models for fraud detection, credit scoring, and process automation
Prepare and clean data using tools such as Pandas, PySpark, and OpenRefine
Perform exploratory data analysis and feature engineering
Select and tune algorithms including Random Forest, XGBoost, Neural Networks, K-Means, PCA, CNN, Transformers, LSTM, Prophet, ARIMA
Implement MLOps pipelines with MLflow, DVC, Git, Jenkins, GitHub Actions, GitLab CI
Requirements
Bac+5 in data science, computer science, or applied mathematics (engineering school or master's in AI/ML)
The Manager, Data Modeling & Data Science will drive strategic business impact through advanced analytics and predictive modeling, serving as a trusted advisor to clients across multiple vertical portfolios.
Compensation
The hourly pay range for this position is $65.79 - $87.77. The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Responsibilities
Ensure timely delivery of data, analytics, and models to support the client’s data licenses, database marketing initiatives, and campaigns
Developing and/or editing R code, Python code for model builds, scoring and delivery
Provide direction and manage the work processes and output of database marketing analysts
Participate in creating relevant solutions for clients by evaluating client needs for quantitative analysis and in developing methods or processes for implementation
Leverage knowledge, and hands on work, of data and statistical modeling techniques to provide suggestions or guidance to teams using tools like Snowflake/SQL/Python/R
Requirements
Bachelor’s degree in Statistics, Math, Economics or related scientific/quantitative field
Concevoir, déployer et optimiser des modèles prédictifs pour des clients variés dans les secteurs du luxe, retail, télécoms, banque, assurance et industrie.
Responsibilities
Concevoir des modèles de prévision et de recommandation
Déployer des modèles en production
Analyser les données et optimiser les performances
Collaborer avec les clients pour comprendre leurs enjeux
As a Senior Data Scientist in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Responsibilities
Discern whether a business problem needs a classical Machine Learning approach, a Generative AI, or Agentic solutions.
Apply structured frameworks like CRISP-DM or other approach to deliver value in a consistent, process driven way.
Develop processes and tools to monitor and analyze model performance and data accuracy and lead the advanced analytics framework through AI/ML.
Work with complex data sets (unstructured and structured data) to solve business use cases by establishing robust measurement frameworks and deliver business value with data-driven insights to senior leaders.
Perform data discovery and analysis to discover trends and patterns, meaningful insights and apply strong knowledge of data science for making informed decisions.
Senior Data ScientistNewCybelAngel · Paris, France
Working Student - Data ScienceNewadjoe · Hamburg