We’re looking for a hands-on Data Scientist with strong Python and backend skills to maintain and improve production algorithms. The focus is on performance optimization, parallel processing, bug fixing, and building/maintaining REST APIs (Django/FastAPI). ML/DL is applied pragmatically; GCP is a plus.Key Responsibilities- Maintain and improve production algorithms; triage and fix bugs; add regression tests - Profile and optimize code (CPU/memory/I/O); apply parallelism/concurrency where relevant - Design and maintain REST APIs (Django/DRF or FastAPI) for model/algorithm services - Test for efficiency and scalability; benchmark latency/throughput; right-size costs - Ensure high code quality: unit/integration tests, type hints, CI/CD, documentation - Collaborate with product/data/QA to prioritize improvements and meet SLAsMust-Have Qualifications- 6–8 years in data science/software roles with production-grade Python - Strong Python expertise (pandas, NumPy), profiling tools (cProfile, line_profiler, memory_profiler, py-spy) - Parallel/concurrent processing (multiprocessing, threading, asyncio) and performance tuning - REST API development with Django/DRF or FastAPI (auth, error handling, pagination) - ML fundamentals with scikit-learn; experience deploying models to services - Testing/quality: pytest/unit test, CI/CD, Git workflows; clear communication and documentationNice to Havescikit-learn ,PyTorch or TensorFlow; experiment tracking (MLflow/W&B)- GCP (Cloud Run/GKE, BigQuery, GCS), Docker/Kubernetes, Cloud Build/GitHub Actions - Observability: OpenTelemetry, GCP Monitoring/Logging; Sentry - Security practices: OAuth2/JWT, secrets management, PII handling
Job Title
Data Scientist (Software-Focused)