Jobs Data & Analytics

We are looking for a Senior Data Analyst to join a team building an AI-powered identity data platform.

This is not a classic reporting role. You will work on complex data problems: measuring AI scoring quality, validating matching logic, analyzing provider performance, and helping Product & Engineering make better decisions.

We process large-scale datasets, integrate multiple external data sources, and run millions of enrichment operations daily. Your work will directly impact product quality, efficiency, and growth.

Responsibilities:

• Build metrics for data quality, match rates, scoring accuracy, and business impact
• Analyze performance of AI / LLM scoring models together with engineers
• Compare external data providers and identify best ROI sources
• Investigate anomalies, pipeline issues, and mismatched numbers
• Support internal teams with fast, data-backed analysis
• Create dashboards when needed — but focus mainly on the logic behind them
• Use AI tools to automate repetitive analytical work
   

Requirements:

• 5+ years in Data Analytics / Product Analytics / Data Science
• Strong SQL (BigQuery, Snowflake, Redshift or similar)
• Experience working with large datasets
• Python for analytics (pandas, notebooks, scripts)
• Experience defining KPIs or measurement frameworks from scratch
• Strong analytical thinking and ownership mindset
• Comfortable working with probabilistic / imperfect data systems
• Daily use of AI tools like ChatGPT, Claude, Copilot, etc.
• English B2+

Nice to Have:

• Experience with LLM evaluation or AI product analytics
• Identity resolution / entity matching experience

• AdTech / MarTech / Healthcare data background

   

What We Offer:

• Fully remote
• Flexible hours with CET overlap
• High-impact product role
• Direct collaboration with Product & Engineering leads
• AI-first working environment
• Fast decisions, no bureaucracy

About the Client

Our client is building advanced spatial computing and AI-powered solutions that transform large-scale visual data into accurate, high-quality 3D models. Their platform leverages cutting-edge computer vision, cloud infrastructure, and emerging technologies to solve complex real-world problems across industries.

About the Role

We are looking for a Senior Computer Vision & Photogrammetry Engineer to join the client’s team. This is a senior, high-impact role for someone who can bridge deep algorithmic expertise with scalable, production-grade infrastructure.

You will lead the design and deployment of high-performance 3D reconstruction pipelines, working closely with engineering and infrastructure teams to turn massive datasets into precise spatial outputs.

What You’ll Do

• Design and implement photogrammetry pipelines, including Structure from Motion (SfM), Multi-View Stereo (MVS), and bundle adjustment;
• Build and optimize high-performance 3D reconstruction workflows for large-scale datasets;
• Architect and manage compute infrastructure using Docker and Kubernetes;
• Develop data processing pipelines for ingesting, cleaning, and analyzing image and sensor data;
• Optimize algorithms for accuracy, performance, and scalability in production environments;
• Integrate multi-sensor data (e.g., IMU, GPS, LiDAR) for improved spatial accuracy;
• Apply state estimation techniques such as Kalman Filters for sensor fusion;
• Explore and integrate emerging approaches like Neural Radiance Fields (NeRF) and Gaussian Splatting;
• Optimize cloud-based processing workflows, particularly within AWS environments;
• Collaborate with cross-functional teams to productionize research-driven solutions;
• Monitor and improve system performance, reliability, and cost efficiency;
• Contribute to technical direction and best practices across computer vision and infrastructure.

Core Requirements

• 7+ years of experience in computer vision, photogrammetry, or spatial data engineering;
• Strong programming expertise in Python, including data processing with Pandas;
• Deep understanding of 3D geometry, camera models, and coordinate transformations;
• Proven experience with Structure from Motion (SfM) and Multi-View Stereo (MVS) pipelines;
• Strong experience with Docker and Kubernetes in production environments;
• Hands-on experience with large-scale data processing and optimization;
• Experience with at least one key 3D/vision library (e.g., Open3D, PCL, or Ceres Solver);
• Strong problem-solving skills and ability to work on complex technical systems;

Nice to Have

• Experience with SLAM (Simultaneous Localization and Mapping);
• Practical experience with NeRF or Gaussian Splatting;
• Experience implementing Kalman Filters or similar estimation techniques;
• Strong AWS experience (EC2 GPU, S3, Lambda, Batch, SageMaker);
• Background in real-time systems or sensor fusion;
• Experience with Kotlin.

What We Offer

• Competitive market salary;
• Fully remote work;
• Flexible working hours with overlap requirements;
• 28 days of paid time off per calendar year;
• Opportunity to work on impactful, cutting-edge technology;
• Collaboration with a highly professional, international team;
• Challenging projects with strong opportunities for growth and learning.

Success Metrics

• High-performance, scalable 3D reconstruction pipelines deployed to production;
• Measurable improvements in model accuracy and processing efficiency;
• Reliable and cost-optimized cloud infrastructure;
• Successful integration of advanced techniques into production workflows.