Senior Data Scientist

Senior Data Scientist at NEORIS

Key Responsibilities

• Advanced Analytics and Data Science

• Design and develop statistical models and advanced analytical solutions to solve complex business problems.

• Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing on large and diverse datasets.

• Apply machine learning techniques such as regression, classification, clustering, forecasting, and anomaly detection.

• Machine Learning and AI Solutions

• Build, train, evaluate, and optimize machine learning models for production and business applications.

• Develop and support Generative AI solutions, including applications leveraging LLMs, embeddings, prompt engineering, and RAG-based architectures.

• Support deployment and monitoring of ML and AI models in collaboration with engineering and MLOps teams.

• Data Engineering and Visualization

• Work with structured and unstructured data sources to prepare datasets for analysis and modeling.

• Develop dashboards, visualizations, and reports to communicate insights effectively to stakeholders.

• Collaborate with data engineers to improve data pipelines and analytical workflows.

• Business Collaboration

• Partner with business stakeholders to understand requirements and identify opportunities for data-driven improvements.

• Translate technical findings into actionable insights and strategic recommendations.

• Support decision-making through data storytelling and executive-level presentations.

• Innovation and Best Practices

• Stay current with emerging trends in Data Science, AI, Machine Learning, and Generative AI.

• Promote best practices in experimentation, reproducibility, documentation, and model governance.

• Mentor junior team members and contribute to technical knowledge sharing.

• Required Qualifications

• 7+ years of experience in Data Science, Advanced Analytics, or Machine Learning roles.

• Strong proficiency in Python and SQL for data analysis and model development.

• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.

• Practical experience designing or implementing Generative AI solutions, including: Large Language Models (LLMs), Prompt engineering, Embeddings and semantic search, Retrieval-Augmented Generation (RAG)

• Strong background in: Statistical analysis, Predictive modeling, Feature engineering, Model evaluation and optimization.

• Experience working with large datasets and cloud-based analytics environments.

• Familiarity with ML deployment concepts and collaboration with engineering teams.

• Experience with data visualization tools such as Tableau, Power BI, or similar.

• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.

• English – Advanced (required).

• Preferred Qualifications

• Experience with cloud platforms such as GCP, AWS, or Azure.

• Familiarity with MLOps concepts, CI/CD pipelines, Docker, Kubernetes, or MLflow.

• Experience with Computer Vision or advanced AI use cases.

• Background in industries such as supply chain and retail.

• Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

• Marina Molina

LI-MM3