Senior Data Curator - Remote

Overview

Veriff is hiring its founding Senior Data Curator in the USA!

The Engineering Division at Veriff builds the software powering our platform, cracking the online identity crisis in a scalable way. We deploy excellence to stay on the cutting edge, and we’re looking for talented individuals to help us innovate. Join our Data Operations team and become part of a dynamic group working on cutting-edge data solutions to support the next generation of identity verification.

Veriff is looking for a Senior Data Curator with a strong foundation in data analysis, data annotation, and machine learning. As a Senior Data Curator, you will be working closely with our data science team to support the creation and enhancement of machine learning models, and will be directly responsible for data extraction, annotation, and model adjustments to ensure the accuracy and reliability of the data used for training.

In Short

• Curating, annotating, and preparing high-quality data to feed into machine learning models, ensuring data is accurate, clean, and aligned with the company’s standards.
• Extracting and manipulating large datasets from various sources to support machine learning efforts and contribute to data model creation.
• Interfacing with machine learning models: You’ll not be responsible for creating new models but will adapt and modify existing models as needed to enhance performance.
• Ensuring data quality: Implement data validation techniques to assess data integrity and ensure the quality of annotations and datasets used in training.
• Using version control systems like Git to track changes and maintain efficient workflows within the data team.
• Applying statistical methods and machine learning algorithms (such as supervised and unsupervised learning techniques) to optimize data models.
• Collaborating cross-functionally with data scientists to help interpret and utilize data in machine learning projects.
• Continuing to enhance your skills in machine learning and data science, with a strong focus on using Encord (a data annotation tool) for optimizing data processing.

Requirements

• Proficiency in Python (mid-level experience), with the ability to work in libraries like TensorFlow or PyTorch.
• Strong SQL skills (mid-level), capable of querying and manipulating data efficiently for analysis and annotation purposes.
• Experience with cloud platforms, especially AWS or Azure, and a familiarity with cloud computing best practices.
• Knowledge of version control systems such as Git, ensuring proper management of code and data.
• A solid understanding of machine learning algorithms (supervised and unsupervised learning) and data analysis techniques, with a focus on improving model performance through data quality optimization.
• Experience in data annotation and extraction: Familiarity with data annotation processes and an understanding of how data is labeled for machine learning use cases.
• A strong interest in machine learning and a desire to transition into a more advanced data scientist role.
• Ability to communicate effectively with both technical and non-technical stakeholders, providing clear insights from data and ensuring the alignment of models with business objectives.
• A commitment to data quality: An understanding of best practices in data curation, quality assurance, and validation.

Benefits

• Full-remote job within our eligible locations in the USA (please see above).
• Extra recharge days per year on top of your annual vacation days.
• Stock options that ensure you share in our success.
• 401(k) matching.
• Extensive, medical, dental, and vision insurance to ensure you're feeling great physically and mentally.
• Learning and Development and Health & Sports budgets that you are free to tailor to your own needs.
• Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary.