Machine Learning Data Analyst

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.

Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we’re looking for data professionals passionate about building the pipelines and systems that power world-class ML models.

As a Data Analyst on the ID Document Intelligence team, you’ll design and maintain the data pipelines that fuel Incode’s machine learning ecosystem. You’ll ensure that data flows efficiently and accurately through every stage of model training, labeling, and performance tracking.

Your work will be essential to maintaining the scalability, quality, and precision of Incode’s document intelligence systems used by millions worldwide.

• Design, build, and maintain automated data pipelines for collection, labeling, validation, and metric computation that support ML training and evaluation.
• Establish and monitor data and labeling quality standards - drive consistency checks, accuracy audits, and root-cause analysis when issues impact model outcomes.
• Define, implement, and automate model evaluation metrics and reporting that reflect real-world product use cases and business goals.
• Build scalable systems for performance tracking, dashboards, and monitoring to enable fast, data-driven decisions across teams.
• Develop and operate reliable workflow orchestration (Airflow, Prefect, or similar) to schedule, observe, and troubleshoot end-to-end pipelines.
• Write clean, maintainable Python code and performant SQL to process large datasets, leveraging AWS Redshift (and related AWS tooling) where needed.
• Partner closely with ML engineers, analysts, and product stakeholders to prioritize work by impact, unblock execution, and continuously improve internal tooling for analysis and evaluation.

• 3+ years of experience as a Data Analyst or in a similar data infrastructure role.
• Strong Python programming skills with focus on clean, maintainable code.
• Solid SQL expertise and experience with cloud or columnar databases (e.g., AWS Redshift).
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.).
• Proven experience in data quality management, data preparation, or ML data pipelines.
• Understanding of metric computation, data labeling, and automation in ML workflows.
• Strong collaboration and problem-solving skills.
• Background in mathematics, physics, or engineering.

• Familiarity with big data technologies or data infrastructure optimization.
• Experience with labeling workflows or ML data preparation pipelines.
• Exposure to AWS or other cloud-based data solutions.
• Interest in machine learning operations (MLOps) and scalable ML systems.

• A builder’s mindset - driven to create efficient, automated systems.
• Strong ownership of data quality and reliability.
• Ability to balance technical depth with practical execution.
• Collaborative, curious, and eager to improve infrastructure continuously.
• Passion for empowering machine learning systems with clean, structured data.

• →High performance
• →Freedom & responsibility
• →Context, not control
• →Highly aligned, loosely coupled
• →Continuous Feedback
• →Promotions & Development
• →Learn more about Life at Incode!

Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.

We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.