About this Junior Data Scientist role at Centific
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
● Develop and maintain automated test data visualization tools with HTML outputs, integrating Python, frontend (JS, CSS), and backend technologies.
● Leverage client AI coding tools to accelerate development and debugging of visualization and automation scripts.
● Analyze test data and results to identify anomalies, debug issues, and provide scalable & quantitative report.
● Troubleshoot and debug issues in the automation framework and test scripts to ensure consistent and reliable validation results.
● Transition long-term to Data Scientist role, developing and maintaining automated data pipeline and dashboards.
● Document automation user guidelines, procedures, and equipment configurations.
● Collaborate with cross-functional teams to understand requirements, design solutions to automate the validation process, and support New Product Introduction (NPI).
● Stay up-to-date with industry trends and emerging technologies to enhance the data automation process.