Data Analyst

Responsibilities

• Design, develop, and oversee the implementation of processes and tools to access the quality of data used in LLM model training.
• Study dataset and quality requirements, develop automated metrics to measure/ monitor data quality at scale.
• Evaluate the annotation data for instruction tuning, preference alignment, and model optimization.
• Proficiency with applying quantitative methods to structured & unstructured data for complex data analysis, pattern recognition, insights generation and metrics development.
• Experience with understanding the complexity of user behavior via deep-diving investigations as well as designing, analyzing, and interpreting A/B experiments.
• Strong programming skills in data manipulation & processing (SQL & Python preferred).
• Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, AWS etc.
• Strong understanding of Machine learning principles, especially in the context of NLP and LLMs.

Requirements

• Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
• Recommend and implement enhancements to our quality processes, tools, and methodologies based on industry best practices.
• 5+ years of design/ test/ implementation/ consulting experience in data quality management for machine learning model training.
• Demonstrated experience in project management and cross – functional collaboration
• Exceptional analytical, problem-solving, and organizational skills.
• Strong verbal and written communication skills with the ability to work effectively across internal and external organization and virtual teams.
• Fluent in another language is a big plus.

What We Offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Benefits package - medical insurance
• Professional development opportunities

About Us

Grid Dynamics is a leading provider of technology consulting, agile co-creation, scalable engineering and data science services for Fortune 500 corporations undergoing digital transformation.