
Data Scientist
6 days ago
**Experience**:
- 3+ years in a data processing & machine learning role with demonstrable experience with Cognitive computing, data integration, data mining, natural language processing, Hadoop platforms, and automating machine learning components.
- Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.)
- Experience with data modeling and normalization concepts.
- Experience with data visualizations tools like SSRS, PowerBI & Tableau.
- Experience architecting and building data marts, warehouses, etc.
- Experience working with different query languages (i.e. PL-SQL, T-SQL).
- Understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud. Azure preferred.
- Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
- Understanding of development and project methodologies.
- Ability to work collaboratively in teams with other specialized individuals.
- Able to work in a fast-paced, technical environment.
**Technology Stack**:Python, C#, R, Spark, SAS, HDInsights, Databricks, Spark, Azure ML, SQL Server / Azure Cosmos DB
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