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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Tabular Data - **Company:** Groupe Klanik - **Location:** Troyes, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Integrated Development Environments, Machine Learning, NumPy, Feature Engineering, Pytorch, Deep Learning, Jupyter, Keras, Git, Pandas, Information Technology, Xgboost, Machine Learning Operations, Docker - **Published:** July 9, 2026 - **Apply:** https://espace-emploi.agefiph.fr/jobs/21384997 ## About the Role * 5+ years of experience demonstrating depth and breadth in state-of-the-art machine-learning, deep learning and optimization. * Demonstrated experience in developing core AI algorithms in industry or for real-world problems. * Proven track record of implementing robust and scalable industrial AI solutions. * Strong understanding of the unique challenges and complexities involved in optimization. * Experience in implementation of MLOps pipelines is a plus. * Experience in the Oil & Gas industry is a plus. Key Skills * Strong background in applied mathematics, algorithms, and coding. * Proficiency in statistics, machine learning, and deep learning. * Proficiency in Python programming and data analysis libraries (e.g., Pandas, NumPy). * Proficiency in data manipulation, cleaning, preprocessing and feature engineering … * Proficiency in deep learning frameworks (e.g. Keras, PyTorch). * Theoretical and practical knowledge of popular machine learning algorithms (e.g., PCA, Support Vector Machines, RandomForest, XGBoost, skforecast). * Theoretical and practical knowledge of popular optimization methodologies (ex. PSO, GA, SGD…). * Experience with common development tools (e.g., PyCharm, Jupyter, Docker, Git). * Excellent communication skills, both verbal and written., BSc or MSc degree in a relevant field (e.g., Computer Science, Statistics). PhD degree is a plus. Key Skills * Strong background in applied mathematics, algorithms, and coding. * Proficiency in statistics, machine learning, and deep learning. * Proficiency in Python programming and data analysis libraries (e.g., Pandas, NumPy). * Proficiency in data manipulation, cleaning, preprocessing and feature engineering … * Proficiency in deep learning frameworks (e.g. Keras, PyTorch). * Theoretical and practical knowledge of popular machine learning algorithms (e.g., PCA, Support Vector Machines, RandomForest, XGBoost, skforecast). * Theoretical and practical knowledge of popular optimization methodologies (ex. PSO, GA, SGD…). * Experience with common development tools (e.g., PyCharm, Jupyter, Docker, Git). * Excellent communication skills, both verbal and written. ## Description * Understanding business objectives and developing AI solutions that help to achieve them, along with metrics to track their progress. * Prepare, clean, and preprocess data for analysis. * Analyze data quality and proactively address issues. * Develop data-driven algorithms for clustering, classification, regression, and optimization. * Evaluate AI solutions aligned with business objectives. * Deploy and manage AI models in production. * Identify differences in data distribution that could potentially affect model performance in real-world applications. * Analyzing the errors of AI models and designing strategies to overcome them. * Maintain and enhance existing solutions to meet evolving business needs. * Visualize and communicate results analysis effectively. * Present ideas, plans, and findings orally and in written reports. * Collaborate with data scientists, data engineers, and software engineers on production applications. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Vectorize all the things! 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