Data Analyst- Python, ML

We are currently hiring a Data Analyst in Canada ( Remote) location.

Responsibilities

• Design and generate sophisticated "adversarial" conversation transcripts, specifically targeting "hard" cases and edge cases to stress-test the fraud detection AI.
• Create and refine complex LLM prompts to synthesize realistic training data across diverse scam domains (e.g., Financial, Government, Medical) that mimics evolving real-world fraud patterns.
• Analyze the output of production-candidate models to identify weaknesses (False Positives/False Negatives) and use those insights to immediately adjust data generation strategies.
• Design and implement automated, agent-based workflows
• Maintain and expand the taxonomy of scam types, translating real-world fraud trends into structured data requirements for the machine learning teams

Requirements

• Bachelor’s degree in Computer Science or a related field
• Proven experience as a Data Analyst or in a similar role
• Proficiency in data manipulation and analysis using tools for Python
• Experienced in collaborating with Machine Learning teams to provide them with high-quality, accessible data
• Experienced in researching and implementing new data technologies and methodologies.
• Proven ability to engineer and refine complex prompts to reliably control and automate LLM outputs for analytical tasks
• Strong understanding of core LLM concepts, capabilities, and limitations to critically select and deploy appropriate models

Nice to have

• Master’s degree in Computer Science or a related field.
• Familiar with Google tools and technologies, especially related to Python and data generation/analysis
• Experience in developing test automation for ETL / data pipelines with ETL tools or programming languages
• Agentic approach for workflow automation
• Strong problem-solving and analytical skills skills and the ability to work independently within a defined project scope
• Strong communication and collaboration skills
• Ability to work in a fast-paced environment and navigate through ambiguity.
• Ability to manage and coordinate multiple project assignments simultaneously in a deadline-driven environment, accepting ownership and accountability of the process and delivering on commitments

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.