Data Science Engineer AIML
Data Science Engineer AIML
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1 Vacancy
Job Description
- Experience in data warehousing and integration including experience applying data modeling techniques and ETL coding.
- Knowledge of and skill in developing and implementing a corporate data architecture program with responsibility for enterprise conceptual/logical data modeling data policies standards and compliance monitoring metadata mapping data governance and as is/target data architecture to participate in strategic data initiatives.
- Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
- Knowledge of and skill in working with database management systems such as Oracle Redshift MySQL Snowflake and Microsoft Structured Query Language (SQL) and data warehouse solutions and ETL tools (like Informatica Power Center IICS) and reporting tools (like Qlik Sense Tableau and Power BI) to centrally manage and analyze data originating from disparate source systems.
- Knowledge of statistical skills including statistical tests distributions regression maximum likelihood estimators etc.
- Good knowledge of machine learning methods like kNearest Neighbors Naive Bayes VM Decision Forests.
Minimum Qualifications:
- 8 years of progressive responsible experience in data warehousing and integration including experience applying data modeling techniques and ETL coding.
Employment Type
Full Time
