Data Scientist
Job Summary

As part of data science team, you will work closely with business to develop data analytics solutions to resolve business challenges.  You will be leading advanced analytic approaches and integrating work into applications and tools. You will be implementing wide variety of analytical models and algorithms that drive cloud-based digital platforms offering best customer experience.

You will work with engineers to deploy and maintain machine learning models in production reliably and efficiently. You will work closely with data scientists, data engineer, developers, and business owners to deliver real values to the business. You should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business challenges into requirements and deliverables.

Job Responsibilities
  • Work closely with business to develop data analytics solutions to resolve business challenges.
  • Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers.
  • Work with engineers to implement end-to-end process from model development to testing, validation, deployment and lifecycle support.
  • Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
  • Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
Knowledge, Skills and Competency
  • Bachelor’s degree or equivalent experience in Computer Engineering, Computer Science, Information Technology, or related fields.
  • Experience in Data Architecture, Data Modeler, or Data Management with large-scale data in the distributed data platform and overseeing complex data projects in an enterprise environment.
  • Have a background in programming skills (Python, PySpark, SQL) and hands-on knowledge in Agile methodology.
  • Hand-on experience in Big Data technology and Cloud platforms such as Azure, AWS, or GCP.
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