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 AWS EC2/Azure VM’s cloud computing.

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. Must actively manage expectations with stakeholders.
• Problem Solving: Must understand the business need and develop technical solutions to meet those needs. Innovation, creativity, and critical problem-solving skills are required to be successful in this role. Solutions need to be comprehensive, flexible for future changes, and delivered with a high degree of quality.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.