Data Scientist

Job Description:

• Work with advanced business intelligence tools to complete complex calculations, table calculations, geographic mapping, data blending, and optimization of data extracts.
• Apply all Phases of Software Development Life Cycle  using Waterfall and Agile methodologies.
• Proficient in working on Apache Hadoop ecosystem components like Map-Reduce, Hive, Pig, SQOOP, Spark, Flume, HBase and Oozie with 

Requirement:

• Strong hands-on experience in Spark, Scala, R, Python, and/or Java.
• Programming experience with the Hadoop ecosystem of applications and functional understanding of distributed data processing systems architecture.
• Proficient in working with AWS Sagemaker and Azure ML for building AI/ML Models.
• Extensive skills in Communication and Collaboration Skills
• Must be able to convey key messages in technical terms and business terms. Must be able to create technical documentation, such as specifications, design documents, and testing documents.
• Oral: Ability to collaborate and communicate with a wide range of partners, including IT and business, across all levels of the organization.

Key Skills:

• Statistical analysis and computing.
• Machine Learning.
• Deep Learning.
• Processing large data sets.
• Data Visualization.
• Data Wrangling.
• Mathematics.
• Programming.