We’re hiring a Data Scientist / Data Engineer to help us turn raw data into reliable datasets, insights, and models that drive real decisions. This role blends strong data engineering (pipelines, quality, orchestration) with hands-on data science (analysis, experimentation, forecasting, ML when needed). You’ll work closely with product and engineering teams to build data products that are accurate, scalable, and actionable. What you’ll do Design and build end-to-end data pipelines (batch and, if applicable, streaming). Collect, clean, transform, and model data into well-structured datasets for analytics and ML. Develop and maintain a data warehouse/lake model (dimensional modeling, data marts, curated layers). Implement data quality checks , observability, lineage, and monitoring. Perform exploratory analysis and deliver insights via dashboards, notebooks, and stakeholder-ready summaries. Build and deploy ML models when needed (forecasting, churn/segmentation, anomaly detection, recommendations). Run experiments / A/B testing support (metrics definitions, evaluation, statistical validity). Collaborate with backend teams to define event schemas, tracking plans, and data contracts. Optimize performance and cost across storage, compute, and queries. Must-have skills Strong SQL and solid programming skills (Python preferred). Experience building pipelines using tools like Airflow / Dagster / Prefect (or equivalent). Strong knowledge of data modeling (star schema, slowly changing dimensions, event modeling). Experience with at least one of: PostgreSQL / MySQL / BigQuery / Snowflake / Redshift . Proven ability to validate data correctness and implement data quality frameworks . Comfortable communicating insights and technical trade-offs to non-technical stakeholders. Nice-to-have skills Streaming: Kafka / Kinesis / PubSub , real-time processing ( Spark Streaming / Flink ). Big data: Spark , distributed compute, partitioning strategies. Lakehouse: Iceberg / Delta / Hudi , object storage (S3/GCS/Azure Blob). MLOps: MLflow , model monitoring, feature stores, deployment pipelines. BI: Superset / Power BI / Looker / Metabase , semantic layers. Cloud: AWS/Azure/GCP (IAM, networking basics, managed data services). Experience with privacy/security compliance (PII handling, retention policies, access controls). What we value Ownership: you build reliable systems, not just one-off scripts. Curiosity: you ask the “why” behind metrics and propose better approaches. Practicality: you can balance speed vs correctness and deliver iteratively. Strong collaboration with engineers, product, and leadership.
We’re looking for a Full Stack Developer to build and evolve modern web applications using FastAPI (Python) on the backend and React on the frontend. You’ll work across the stack—designing APIs, implementing user-facing features, improving performance, and ensuring high-quality delivery through clean code and testing. What you’ll do Build and maintain backend services using FastAPI (Python) with clean, scalable architecture. Design and implement RESTful APIs (and optionally GraphQL if applicable). Develop responsive and reusable UI components using React (and modern patterns/hooks). Integrate frontend and backend, ensuring reliability, performance, and great UX. Work with databases: PostgreSQL/MySQL (and/or MongoDB if used), including schema design and query optimization. Implement authentication/authorization (JWT/OAuth2), role-based access, and secure coding practices. Write tests (unit/integration) and support CI/CD pipelines. Collaborate with product/design/QA to deliver features end-to-end. Debug, troubleshoot, and continuously improve code quality and maintainability. Must-have skills Strong experience with Python and FastAPI (or similar frameworks like Django/Flask with ability to ramp quickly). Strong experience with React , including hooks, state management, and component-driven design. Solid understanding of API design, request/response patterns, pagination, error handling, and versioning. Experience with SQL databases (PostgreSQL preferred) and ORMs (SQLAlchemy or equivalent). Familiarity with Git workflows and collaborative development (PRs, code reviews). Good understanding of security basics (JWT, OAuth2 concepts, input validation, OWASP awareness). Nice-to-have skills Async programming in Python (async/await), background tasks (Celery/RQ), and WebSockets. Experience with Docker and containerized deployments. Experience with CI/CD (GitHub Actions, GitLab CI, Bitbucket Pipelines). Experience with cloud services (AWS/Azure/GCP) and infrastructure basics. Experience with TypeScript, Next.js, or modern frontend tooling and performance optimization. What we value Strong ownership and ability to deliver features end-to-end. Clean, readable code and pragmatic architecture decisions. Clear communication and teamwork. A product mindset: you care about users, not just code.