Top Tech Jobs & Startup Jobs

Perform daily product matching and neutral quality checks across panels/sectors, manually crawl and aggregate product data from websites, and apply match suggestions to fix or update items to ensure high-quality matching and QC processes.

Lead data science for a specific market: partner with commercial and product teams, design analytics solutions, meet clients, prototype advanced models, coach and manage junior data scientists, and enable data-driven product and revenue outcomes.

Perform low-to-medium complexity data quality control tasks: set QC ratings, maintain MI OPS quality standards, identify/report issues, and collaborate on continuous improvement.

Lead discovery and redesign of current-state business processes, identify AI/automation opportunities, validate via POCs/pilots, design future-state operating models, define KPIs and governance, and deliver structured, delivery-ready inputs to Product and Technology teams.

Serve as first point of contact for client inquiries, troubleshoot basic platform and data issues, document and track cases, perform basic data analysis and extractions, deliver reports, and collaborate with internal teams to resolve client concerns while improving processes and knowledge resources.

Serve as primary operational contact for UK clients: gather requirements, translate into internal work orders, coordinate delivery timelines, ensure quality and post-production checks, troubleshoot with operations teams, and drive continuous improvement to enhance client data solutions and satisfaction.

This role involves generating revenue and managing client relationships within the Automotive sector, focusing on business development, relationship management, and financial metrics achievement.

Lead development and improvement of RES design and universe estimation using statistical methods, machine learning, and data integration. Research and prototype new methodologies, collaborate with technology and data teams, document global data science methods, support pilots and deployments, and mentor colleagues to apply advanced analytical techniques.

The Senior Data Engineer will design and maintain ETL pipelines, automate report generation, and ensure data quality while collaborating with various teams.

The role involves supporting data protection compliance, conducting assessments, managing training, and advising on AI usage within privacy regulations across APAC.