Senior Data Scientist developing Python-based modules for big data solutions. Empowering global retailers with actionable insights through scalable data science practices.
Responsibilities
Design and develop reusable Python packages (pip/conda) to productionize data science solutions.
Process big data at scale using Hadoop/Spark and optimize workflows with Airflow/orchestration tools.
Build scalable applications and REST/RPC APIs (Flask/FastAPI/gRPC) for global products.
Advocate for engineering best practices, including CI/CD, DevOps, and containerization (Docker/Kubernetes).
Mentor junior engineers and lead initiatives to enhance research tooling and dashboards.
Requirements
At least 5-6 years of relevant experience as a data scientists applying analytics, data science or operational research skills at scale
Numerate degree with large amount of the content covering data science, advanced analytics and/or operational research
7+ years in data engineering/science, with expertise in Python, Spark, and SQL.
Proven experience with big data processing and scalable system design.
Strong knowledge of CI/CD, Agile frameworks, and cloud platforms (AWS).
Bonus: Familiarity with ML techniques (regression, clustering) and retail data.
Benefits
The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
The opportunity to form part of an amazing, multicultural community of tech experts.
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