The vacancy is well-structured, providing clear expectations and a strong company profile, though payment terms could be clearer.
Job description
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.
Responsibilities
### What You'll Own & Drive
- **Root Cause Investigation** — Independently investigate data quality issues end-to-end. When a model metric drops or data looks wrong, you own the investigation: forming hypotheses, querying across data sources, and delivering a clear, evidence-backed answer.
- **Automated Data Pipelines** — Design, build, and maintain pipelines for collection, labeling, validation, and metric computation that support ML training and evaluation.
- **Data & Labeling Quality Standards** — Establish and monitor consistency checks, accuracy audits, and root-cause analysis when issues impact model outcomes.
- **Model Evaluation Metrics** — Define, implement, and automate evaluation metrics and reporting that reflect real-world product use cases and business goals.
- **Performance Tracking Systems** — Build scalable dashboards and monitoring to enable fast, data-driven decisions across teams.
- **Workflow Orchestration** — Develop and operate reliable orchestration (Airflow, Prefect, or similar) to schedule, observe, and troubleshoot end-to-end pipelines.
- **Clean, Maintainable Code** — Write SQL and Python to efficiently investigate problems — querying databases, calling internal APIs, and processing data across multiple sources.
- **Cross-Functional Partnership** — 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.
Requirements
### Your Background
- 3+ years of experience as a Data Analyst or in a similar data infrastructure role.
- Strong **SQL and Python** skills for data investigation and root cause analysis.
- Hands-on experience with **AWS Redshift** or a similar columnar/cloud database (BigQuery, Snowflake, etc.).
- Solid statistical foundation — you can reason about rates, distributions, significance, and sampling bias.
- Hands-on experience with **workflow orchestration tools** (Airflow, Prefect, Dagster, etc.).
- Proven experience in data quality management, data preparation, or ML data pipelines.
- A proactive mindset toward identifying problems.
- Strong collaboration and problem-solving skills.
- Background in **mathematics, physics, or engineering**.
Conditions
### Why Incode?
- **Mission with Meaning** — Build systems that enable ethical, seamless identity verification for millions.
- **Rocket-Ship Growth** — Join a company scaling globally with AI at its core.
- **Elite Team & Technology** — Collaborate with top engineers and data scientists redefining document intelligence.
- **Ownership & Autonomy** — Operate with end-to-end responsibility for impactful data pipelines.
- **Global Impact** — Your work will power real-world AI experiences trusted by major enterprises.
### Benefits & Perks:
- Flexible Working Hours & Workplace
- Open Vacation Policy
- Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment.
About Incode
Incode is an AI-powered identity verification company that provides frictionless biometric authentication, KYC/AML compliance, and fraud prevention solutions. Their Incode Omni platform serves enterprises including banks, fintechs, governments, and resorts for onboarding, authentication, and payment verification. Founded in 2015, they achieved unicorn status in 2021 and are recognized for enterprise-grade facial recognition by NIST.