Senior Data Scientist

📋 Description

• • Apply statistical analysis, regression, clustering, forecasting, and classification techniques to solve scalable business problems using real-world data.
• • Design and build end-to-end analytical solutions from data extraction in BigQuery and MariaDB to automated reporting and actionable business insights.
• • Develop and maintain production-grade data pipelines, analytical frameworks, and tooling using Python and SQL, ensuring reliability and scalability.
• • Leverage AI-powered development tools including Windsurf, Gemini, Claude, and Cursor to accelerate code generation, experimentation, and analytical workflows.
• • Utilize advanced AI features such as LLMs, embeddings, and generative AI to augment and automate core data science processes.
• • Build lightweight applications and APIs using FastAPI to deploy models and insights directly to business stakeholders.
• • Own data architecture decisions within your domain, including schema design, data modeling, and pipeline reliability for analytical and ML workloads.
• • Translate complex technical findings into clear, compelling narratives for both technical and non-technical audiences to drive data-informed decisions.
• • Map, analyze, and improve business processes through data-driven insights and process redesign across departments.
• • Work autonomously in a small, high-performing team with full ownership of projects and outcomes, setting priorities and delivering without supervision.
• • Maintain a public GitHub profile showcasing personal projects, experiments, or open-source contributions that demonstrate technical depth and curiosity.
• • Continuously learn and adopt emerging tools, techniques, and best practices in data science, AI, and data engineering to raise the team’s capabilities.
• • Collaborate across functions including Finance, Marketing, Sales, Operations, and Engineering to align analytical work with organizational goals.
• • Ensure data integrity and performance through query optimization, partitioning strategies, and efficient data modeling in BigQuery and MariaDB.
• • Integrate JSON-based data formats, APIs, and integration patterns into analytical systems to enable seamless data flow and interoperability.
• • Contribute to a culture of clean engineering, curiosity, and innovation by sharing knowledge and challenging assumptions with global peers.