Ref. 21001: Data Scientist - Remote

Description

Job Summary: We are seeking a Senior / Semi-Senior Data Scientist with experience in traditional ML, end-to-end ML lifecycle, Python development, and Azure usage, focused on analytical solutions and agile collaboration. Key Highlights: 1. Technical role with autonomy and Machine Learning development 2. Use of Python, SQL, Git, and Microsoft Azure (Azure ML, Synapse) 3. Agile collaboration and staying current with advanced analytics At ADN – Human Resources, we are looking for a Senior / Semi-Senior / Remote Data Scientist for an important company. Requirements: - Three to five years of experience in Data Science roles, depending on the quality and complexity of projects completed. - STEM degrees preferred: Engineering, Computer Science, Mathematics, Statistics, Actuarial Science, Economics, or related fields. - Formal education in Data Science (undergraduate or postgraduate) is mandatory. - Technical autonomy and ability to work independently are expected. - Predominantly technical and development-oriented role. - Intermediate / Advanced English (reading, writing, and speaking). Technical Skills: Core languages and tools (mandatory): -Python. -SQL. -Git. Cloud (exclusive): -Microsoft Azure: -Azure Machine Learning -Azure Synapse Libraries and frameworks: -Scikit-learn -PyTorch -Matplotlib / Seaborn -Jupyter Notebook DevOps: -Git version control (mandatory) -Desirable: GitHub, GitLab, or Azure DevOps MLOps (desirable): -Experience monitoring and operating models in Azure ML. Desirable knowledge: -Experience working under agile methodologies. -Knowledge of Power BI, Tableau, or Grafana. -Familiarity with platforms such as Databricks or Domino. -Interest or basic knowledge in GenAI (not exclusive). -Advanced statistical modeling. -Prior experience in the insurance industry (a plus). Main Responsibilities: -Develop traditional Machine Learning models (descriptive, predictive, forecasting, and inference). -Execute the full ML lifecycle: exploration, design, prototyping, validation, and deployment (PoC → MVP → Pilot → Production). -Write Python code following best practices (version control, testing, documentation). -Use Azure, especially Azure Machine Learning and Azure Synapse, for model execution and deployment. -Translate business requirements into analytical and technical solutions. -Participate in meetings with non-technical stakeholders to explain models, logic, and results. -Produce clear and maintainable technical documentation. -Collaborate with the squad using Agile methodologies. -Stay updated on tools and practices for advanced analytics within the Azure ecosystem. Remote work. Schedule: Monday to Friday, 9 AM to 6 PM.-Requirements- Minimum Education: Tertiary 3 years of experience Keywords: data, data, scientist, home, remote, remote, telework, home