Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to lead and contribute to advanced machine learning initiatives. This role is ideal for someone who thrives on solving complex problems, building scalable models, and driving data-driven decision-making across the organization. Key Responsibilities Design, develop, and deploy machine learning models to solve real-world business challenges. Collaborate with cross-functional teams including engineering, product, and business stakeholders to define project goals and deliverables. Analyze large datasets to extract actionable insights and identify opportunities for optimization. Lead experimentation and model validation efforts, ensuring robustness and scalability. Mentor junior data scientists and contribute to the growth of the data science team. Stay current with the latest research and trends in machine learning and AI. Required Qualifications Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related field. 3+ years of work experience as a Data Scientist with experience at all levels of the ML pipeline involving very large databases. Strong proficiency in Python, SQL and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistical modeling, supervised and unsupervised learning, and deep learning techniques. Excellent communication and collaboration skills. Preferred Qualifications Experience in deploying models to production environments. Familiarity with MLOps practices and tools. Experience with time-series models, XG Boost, churn prediction, customer segmentation and clustering techniques. Benefits of Working with Us Competitive salary based on your level of experience. A benefits package that includes an extensive health insurance package, as well annual vacation, sick and personal days. A collaborative and supportive work culture. Opportunities for professional growth and development.

Design, develop, and deploy machine learning models to address complex business challenges while collaborating with cross-functional teams. Lead experimentation, mentor junior data scientists, and extract actionable insights from large datasets to drive organizational decision-making.

Requires an advanced degree in Computer Science, Statistics, Mathematics, or a related field. Candidates must have at least 3 years of experience as a Data Scientist with proficiency in Python, SQL, and major machine learning libraries.

• Health insurance • Annual vacation • Sick days • Personal days • Professional growth and development

• SQLSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Scikit-learn
• TensorFlow
• PyTorch
• Machine learning
• Statistical modeling
• Supervised learning
• Unsupervised learning
• Deep learning
• MLOps
• Time-series models
• XG Boost
• Churn prediction
• Customer segmentation
• Clustering
• Time Series Modeling
• Customer Segmentation
• MLOps (Machine Learning Operations)
• Very Large Databases (VLDB)
• Data-Driven Decision Making
• Research
• Artificial Intelligence
• Communication
• Computer Science
• Forecasting
• Scalability
• Python (Programming Language)
• Machine Learning
• Mathematics
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Collaboration
• Data Science
• Deep Learning
• Model Validation
• Scikit-Learn (Python Package)
• PyTorch (Machine Learning Library)
• Unsupervised Learning

• Data & Analytics
• Technology
• Software
• Science & Research
• Management & Leadership
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Maîtrise

Expérience minimale

3+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine