Automation Engineer (Data Science)

Responsibilities

• Responsible for Setting up Cloud test environments for NICE Actimize products.
• Quality test Machine Leaning Analytical models on different environments and on defined set of criteria.
• Produce client facing quality reports on performance and data analysis.
• Validate results and provide constructive feedback to Data Scientists.
• Analyze Data and provide actionable insights for multiple customers.
• Support Data Science function on data preparation and data cleaning aspects.
• Translate the functional and non-functional requirement to test scenarios and test cases, regression cases
• Able to automate the test cases as feasible, using different tools
• Should understand the various issues related to ML model development from data analysis, Model features importance and model performance to create test scenarios
• Propose best practices/standards.

Experience: 2 to 5 Years

Requirements for the role:

• Good understanding of Python (must), PL/SQL (must), Scala is required
• Exposure to Data Science and Machine Learning model development and deployment process
• Good understanding of JAR files creation and distribution techniques. Exposure to PMML based deployment
• Skills around Data Manipulation and Data Pre-Processing, Experience on Extract, Transform Loading of data
• Experience of dealing with large enterprise data sets.
• Experience in creating Test Strategy, Test Scenarios, and execution a must
• Strong analytical and problem-solving skills
• Good communication skills (English)
• A team player that demonstrates a strong work ethic, creativity, assertiveness, and flexibility

Other preferred skills

• Exposure to Actimize Watch solutions. Exposure to Finance/Fraud/ Anti Money Laundering (AML)
• Experience with Agile Development methodologies, user stories, acceptance criteria, feature prioritization, and defining product specifications
• Experience with cloud-based delivery, SaaS, CI/CD, DevOps, and related cloud-based software development and delivery methodologies

Job Description