Senior Data Scientist
6 days ago
Location: Remote
Experience: 10+ years
Salary: As per experience
Interview: Video call
Job Responsibilities:
- Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Data Lake Storage.
- Collaborate with cross-functional teams to gather requirements and design solutions for complex business problems.
- Develop high-quality code in Python using PySpark, SQL Server, and SQL Azure to solve real-world problems.
- Ensure scalability, reliability, and performance of deployed applications by monitoring their behavior under different loads.
Job Requirements:
- Strong expertise in Azure Databricks, ADF, and Azure Synapse Analytics Platform.
- Proficiency in programming languages such as Python with hands-on experience working on big data processing technologies like Spark.
- Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, or tools, etc.).
- Strong Python coding skills (including Object-oriented programming concepts), including using ML libraries and basic working knowledge of SQL.
- Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have).
- Familiarity with the theory behind various machine learning concepts.
- Experience in CRISP-DM project delivery and with Agile projects (like Scrum, and Kanban).
- Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, model evaluation, hypothesis testing and model deployment.
- Experience in working with client-facing role.
- Able to apply independent research, gather information, and give recommendations on how to solve problems of diverse scope.
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