Offer summary

Qualifications:

At least 3 years of experience as a Data Analyst working with large-scale data., Proficiency in Python, including data analysis and visualization libraries., Strong SQL skills with the ability to write efficient queries., Familiarity with data visualization tools like Tableau or Grafana..

Key responsibilities:

Develop and support metrics for ML pipeline performance and quality.

Analyze data to provide insights on model performance and data shifts.

Build and improve monitoring tools for data processing.

Perform A/B testing on new features and models.

Job description

POWER A WORLD OF TRUST

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!

The Opportunity

We’re seeking exceptional ML Data Analytics experts to join our specialized team working on cutting-edge document intelligence and ID validation projects. If you’re passionate about solving complex, real-world challenges with cutting-edge machine learning, we want you on our team.

About the Role

As an ML Data Analyst, you will play a crucial role in ensuring the quality and effectiveness of our machine learning models and data pipelines. You will be part of the ML team working on ID document processing pipelines, analyzing key performance metrics, and developing new tools to enhance model evaluation and monitoring.

What You’ll Do

Develop and support a set of metrics representing ML pipeline performance and quality.
Analyze data to provide insights on model performance, data shifts, labeler efficiency, and pipeline effectiveness.
Facilitate data-driven decision-making by prioritizing critical tasks based on impact.
Build and enhance monitoring tools to track and optimize data processing.
Perform A/B testing on new features and models.
Provide reports and insights to both technical and non-technical stakeholders.

What We’re Looking For

Must-Have:

3+ years of experience as a Data Analyst working with large-scale data.
Strong Python skills (including libraries for data analysis and visualization).
Strong SQL skills, ability to write optimal queries
Familiarity with data visualization tools (e.g., Tableau, Grafana).
Solid understanding of statistics and data evaluation methodologies.
Experience with data pipeline orchestration tools (e.g., Airflow, Dagster, Prefect).

Nice-to-Have:

Understanding of Machine Learning fundamentals.
Experience with analytics for ML products.
Background in mathematics, data science, or enterprise analytics.
Prior experience building analytics from scratch for ML-driven products.

8 Aspects of our Culture:

Values are what we value
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Pay Top of Market
Promotions & Development
Learn more about Life at Incode!

Benefits & Perks:

Meaningful Equity
Flexible Working Hours & Workplace
Open Vacation Policy
Wellness Program
International Travel Opportunities
Additional benefits package according to location (401k, medical insurance, etc.)

Equal Opportunities:

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.

Applicant Data Privacy:

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

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