Job Description
About the Role
Were hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. Youll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. Youll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. Youll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
Youll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on whats possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and youre the kind of person whos always learning the next thing-wed love to hear from you.
Key Responsibilities
- Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
- Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
- Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
- Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
- Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
- Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- Map and improve business processes through data-driven analysis and process design
Requirements & Qualifications
- 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
- Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
- Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
- Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
- Excellent communication skills - you present complex technical work in a way that drives decisions
- Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
- Relentlessly curious and ambitious - youre always learning, always building, always improving
- A public GitHub profile showcasing your projects, experiments, or contributions
Nice to Have
- Experience with Next.js or modern frontend frameworks for building data-facing applications
- FastAPI experience for serving models or internal tooling
- Background in business process analysis or operational process design
- Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
- Experience with JSON-based data formats, APIs, and integration patterns
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits & Culture
- Globally distributed team environment
- Remote or hybrid work options (location-dependent)
- Challenging projects with company-wide impact
- Competitive compensation, 25 days paid annual leave, plus holidays
- A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location India (remote)
Travel Flexible for adhoc travel