Data Scientist

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members., Advanced Analytics & 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 & 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 & 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 & 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.

We are seeking a highly experienced Senior Data Scientist with strong expertise in advanced analytics, statistical modeling, machine learning, and Generative AI to help drive data-driven decision-making across the organization. This role requires a hands-on professional capable of analyzing complex datasets, developing predictive models, and building AI-powered solutions that deliver measurable business impact. The ideal candidate combines deep Data Science expertise with practical experience in Machine Learning and GenAI applications, collaborating closely with cross-functional teams to design, deploy, and scale intelligent solutions in production environments., * 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.

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