As an Engineering Data Scientist, you will spearhead high-impact ML initiatives, design and deploy advanced machine learning models, and analyze high-dimensional datasets to drive strategic business optimization.
Requirements
- Bachelor’s degree in computer science / data science, or quantitative discipline
- 4–8 years of progressive experience in Data Science and Advanced Analytics
- Extensive experience in Statistical Modeling and Machine Learning
- Expert-level proficiency in Complex SQL and architecting scalable ETL/ELT pipelines
- Hands-on experience with Databricks (PySpark/Spark SQL) and Microsoft Power BI
- Experience in Azure Databricks, Synapse, ADF, Azure ML Studio
- Proficient in Python (Scikit-Learn, Pandas, NumPy) and seasoned in MLOps principles
- Strong analytical and problem-solving skills with a focus on data accuracy and performance optimization
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