Data Scientist

We are seeking a Data Scientist who will support the delivery of standardized, trusted, and compliant regulatory data across the organization. This role is the key resource for implementing data transformation pipelines in line with the transformation pipeline architecture, including developing the required logic and defining mapping tables. Additional analytical skills are required for the role to assume responsibility for defining and implementing the quality control pipelines for data transformations.

Location: Europe, Armenia, Georgia-remote

Responsibilities:

• Review mapping definition with data analysts
• Contribute with other data scientists on mapping definition for transformation pipelines
• Contribute to mapping function development and unit testing of these functions
• Contribute to mapping configurations
• Define the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations
• Review and maintain the quality control pipelines with the Data Analyst, Data Domain Lead and Data Governance Lead
• Implement or configure the appropriate tools for the approved quality control pipelines
• Provide the guidelines for introducing Machine Learning and LLM in the transformation pipelines
• High quality implementation and tool configuration for the quality control pipelines

Qualifications:

• High-quality code for the mapping functions, developed according to the Data Ops core principles
• Comprehensive and well-documented quality control pipeline design
• Bachelor's degree in Data Analytics, Computer Science
• 5+ years of experience in data transformation pipelines or ETL
• Experience in implementing ML and LLM in production data pipelines
• Strong technical skills in Databricks, Python development
• Strong quality control and analytical skills, experience in SODA is a plus

Nice to have:

• Experience with SODA

We offer:

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company