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Incode

Machine Learning Data Analyst

9.0/10

Incode

$68,000 – $112,000 USD
Remote
mid
27 days ago
aidatatechData QualityPythonSQLAutomated Data PipelinesData infrastructureIdentity VerificationStatistical foundationCryptoML Models

AI Summary

The vacancy is well-structured, providing clear expectations and a strong company profile, though payment terms could be clearer.

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Description

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.

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.

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.
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