Data Scientist - Quality Assurance Job in Nice Interactive Solutions India Pvt Ltd

Brief about the role:

Data Science Quality Assurance is a client facing role where the resource is expected to perform testing and validation on machine learning analytical models and interface with stakeholders including customers on results / quality.

Experience level of 3-5 years would be ideal for this role. Strong inclination towards Quality Assurance and testing will be advantageous.

Main Responsibilities and Deliverables:

• Set up test environment on NICE Actimize products.
• Deploy Machine Leaning Analytical models on various environments.
• Quality test Machine Learning Analytical Models on defined set of criterias.
• 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.

Qualifications / Education:

• E./B.Tech from a reputed institute/university
• Very good verbal and written English skills.
• Proven experience in operating within a global environment.
• Experience working in a complex matrix environment in a fast-paced organization.

Technical Skills

Must Have

• Programming Languages: Python (must), PL/SQL (must), Java Script (good to have).
• Good understanding of JAR files creation and distribution techniques.
• Databases: Oracle, SQL Server, Data Warehousing (ETL, OLAP).
• Skills around Data Manipulation and Data Pre-Processing.
• Experience of dealing with large enterprise data sets.
• Good understanding of Testing Methodologies and Test Reports.
• Good understanding & Experience on Extract, Transform Loading of data.

Good to have

• Actimize: Understanding of AIS-RCM & IFM Products will be an added advantage.
• Experience of working in Fraud Management / Anti Money Laundering using Analytics will be an added advantage.

Personal Leadership

• Ability to work and deliver independently.
• Actively seeks information, and shares knowledge with others.
• Actively engages others in work done, to expand and broaden professional domain knowledge and know-how.
• Has high-attention to details and works well in a dynamic and high paced environment
• Mentors junior members of the team
• Flexibility of working hours for supporting global clients