Senior Data Scientist
8 hours ago
We are seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives while strengthening the cloud-based data platform. This role requires strong hands-on experience, end-to-end ownership, and the ability to translate data insights into business impact.
Key Responsibilities
- Build, maintain, and optimise ETL/ELT pipelines using SQL, PySpark, and Databricks
- Design and enhance Delta Lake / Lakehouse architectures
- Manage and orchestrate data workflows within Azure Databricks
- Support data scientists in feature engineering, model development, and experimentation
- Ensure data quality, governance, security, and performance across data platforms
Key Requirements
- 3–7 years of experience in data engineering / data science roles
- Strong proficiency in SQL, PySpark, Python, and cloud-based data processing
- Hands-on experience with Databricks (notebooks, MLflow, orchestration)
- Experience with Azure Data Factory, ADLS, or similar cloud services
- Good understanding of machine learning concepts and ML pipelines
Primary Skill Set
- Advanced Modelling & ML Expertise – Experience in building complex models (ML, deep learning, NLP, forecasting) and applying advanced statistical techniques
- Programming & Data Engineering – Strong in Python/R/SQL, Spark, and exposure to Hadoop; experience with Azure / AWS / GCP
- End-to-End Ownership – Able to scope, design, build, deploy, and monitor data products independently
- Business Acumen – Strong ability to understand business needs and translate them into data-driven solutions
- Collaboration & Mentorship – Works closely with cross-functional teams and mentors junior data scientists
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