Senior Data Curator

Summary

Join Veriff's Engineering Division as its founding Senior Data Curator in the USA! You will be part of a dynamic Data Operations team, working on cutting-edge data solutions for identity verification. As a Senior Data Curator, you'll collaborate with data scientists to create and enhance machine learning models. Your responsibilities include data extraction, annotation, model adjustments, and ensuring data quality. You'll utilize Python, SQL, and cloud platforms (AWS or Azure) and apply statistical methods and machine learning algorithms. This role offers the opportunity to enhance your machine learning and data science skills while making a real impact. Veriff provides a full-remote work environment and a comprehensive benefits package.

Requirements

• Demonstrate proficiency in Python (mid-level experience), with the ability to work in libraries like TensorFlow or PyTorch
• Possess strong SQL skills (mid-level), capable of querying and manipulating data efficiently for analysis and annotation purposes
• Have experience with cloud platforms, especially AWS or Azure, and a familiarity with cloud computing best practices
• Show knowledge of version control systems such as Git, ensuring proper management of code and data
• Have 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
• Have experience in data annotation and extraction: Demonstrate familiarity with data annotation processes and an understanding of how data is labeled for machine learning use cases
• Show a strong interest in machine learning and a desire to transition into a more advanced data scientist role
• Be able to communicate effectively with both technical and non-technical stakeholders, providing clear insights from data and ensuring the alignment of models with business objectives
• Demonstrate a commitment to data quality: Show an understanding of best practices in data curation, quality assurance, and validation

Responsibilities

• Curate, annotate, and prepare high-quality data to feed into machine learning models, ensuring data is accurate, clean, and aligned with the company’s standards
• Extract and manipulate large datasets from various sources to support machine learning efforts and contribute to data model creation
• Interface with machine learning models: Adapt and modify existing models as needed to enhance performance
• Ensure data quality: Implement data validation techniques to assess data integrity and ensure the quality of annotations and datasets used in training
• Use version control systems like Git to track changes and maintain efficient workflows within the data team
• Apply statistical methods and machine learning algorithms (such as supervised and unsupervised learning techniques) to optimize data models
• Collaborate cross-functionally with data scientists to help interpret and utilize data in machine learning projects
• Continuously enhance your skills in machine learning and data science, with a strong focus on using Encord (a data annotation tool) for optimizing data processing

Preferred Qualifications

• Have experience using Encord or similar data annotation tools for data preparation
• Possess a strong grasp of machine learning frameworks like TensorFlow, PyTorch, or similar
• Have experience working in data annotation teams and transitioning into a more technically focused machine learning or data science role

Benefits

• Full-remote job within our eligible locations in the USA
• Extra recharge days per year on top of your annual vacation days
• Stock options
• 401(k) matching
• Extensive medical, dental, and vision insurance
• Learning and Development and Health & Sports budgets
• Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary