Product Data Analyst

Job Description

Captur is an established B2B AI startup based in London, backed by top VCs, InnovateUK, and Google for Startups.

We are looking for a versatile Product Data Analyst to support our computer vision startup's analytics needs. In this role, you'll work across data engineering, analysis and model performance evaluation while collaborating directly with our Customer Success team.

Key Duties and Responsibilities

• Analyse frame-by-frame model prediction data from our mobile SDKs (iOS and Android) 
• Investigate model performance issues using detailed session records
• Owning the data labelling process (interfacing with the labelling team, running calibrations & analysing labelling trends)
• Empower and support continuous improvement for our labelling team, processes and technologies
• Identify patterns in model performance  and recommend specific areas for improvement in training
• Design and implement BigQuery tables and schemas for efficient data storage & analysis
• Act as a champion for model explainability, gathering and sharing insights from existing images, running experiments with new data sources and answering client queries about model performance with data-driven insights
• Create and maintain Grafana dashboards to visualise key performance metrics
• Support the Customer Success team with data-driven solutions
  

Required Qualifications

• SQL (BigQuery and PostgreSQL) proficiency and Python programming skills
• Experience with Google Cloud Platform
• Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc)  
• Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage
• Experience working with data visualisation tools, particularly Grafana
• Strong communication skills for client-facing interactions
• Collaborative mindset for cross-functional work
  

Nice to Have

• Experience with image based machine learning
• Experience with AI/ML deployment workflows
• Experience communicating with non-technical stakeholders (client and internal)
• Startup experience

This position offers significant growth potential in a fast-paced environment where you'll work with cutting-edge computer vision technology and directly impact our product and customer success.

Company Benefits

• Flexible hours & hybrid working in London
• Mentorship from world class engineering leads (see company advisors)
• International, diverse team
• Unlimited Coursera subscription
• Competitive salaries with 6 month salary reviews
• Equity
• Pension scheme
• 30 days holiday (including public and holidays)