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Job Overview
Location
Remote - India
Job Type
Full-time
Category
Data Science
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Apply statistical analysis, regression, clustering, forecasting, and classification techniques to solve real business problems at scale using large-scale data sets.
- • 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 the latest AI features such as LLMs, embeddings, and generative AI to augment and automate data analysis and reporting 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 optimization for both analytical and machine learning workloads.
- • Translate complex technical findings into clear, compelling narratives for technical and non-technical audiences across the organization.
- • Map, analyze, and improve business processes through data-driven insights and process redesign.
- • Work autonomously in a small, high-performing team with full ownership of projects and outcomes, setting your own 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 bar on team capabilities.
- • Collaborate across departments including Finance, Marketing, Sales, Operations, and Engineering to align data initiatives with organizational goals.
- • Ensure data integrity and efficiency across the full data stack, from source systems through data warehouses and analytical layers.
- • Use production-quality Python code (not just Jupyter notebooks) to build scalable solutions, integrating modern ML and data libraries.
- • Optimize SQL queries in BigQuery and MariaDB with deep understanding of partitioning, indexing, and query performance tuning.
🎯 Requirements
- • 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- • Expert-level SQL proficiency with deep fluency in BigQuery and MariaDB, including query optimization and data modeling
- • Strong Python skills with production-quality code and experience in modern data and ML libraries
- • Deep understanding of analytical methods including regression, clustering, time series, A/B testing, and classification
- • Proficiency with AI-powered development tools such as Windsurf, Gemini, Claude, or Cursor
- • Self-managing and self-sufficient work ethic with ability to unblock and deliver independently
🏖️ Benefits
- • Globally distributed team environment
- • Remote or hybrid work options (location-dependent)
- • Competitive compensation, 25 days paid annual leave, plus holidays
- • Challenging projects with company-wide impact
- • Culture that values curiosity, clean engineering, and intrinsic motivation
- • Flexible travel for ad-hoc needs
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About MariaDB plc
MariaDB plc is the Ireland-based public company that develops and supports the open-source MariaDB database management system and related enterprise products. Formed from the original MySQL fork, it offers scalable relational, analytical and hybrid transactional/analytical processing solutions under both open-source and commercial licenses. The company provides cloud services, support, training and consultancy to organizations worldwide, focusing on performance, security and operational efficiency for modern applications.
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