Data Scientist

### Who you are
- We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. MS or Ph.D is a plus
- Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches
- Strong understanding of model evaluation, experimentation, and ML fundamentals, including overfitting, regularization, and transfer learning
- Experience with version control (Git), experiment tracking, and reproducible ML workflows
- Ability to communicate technical ideas clearly and work effectively in a cross-functional team

### What the job involves
- This role is intended for an experienced individual contributor who can work independently on production ML models, own well-scoped modeling initiatives, and contribute to technical decision-making—while partnering closely with senior data scientists and engineers
- You will help build and improve ML systems that analyze identity and document images at scale and play an active role in evolving our modeling approaches and infrastructure
- Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection
- Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models.
- Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production
- Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements
- Contribute to technical design discussions, code reviews, and modeling best practices across the team
- Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure
- Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements

### Benefits
- Health: Comprehensive medical coverage, including vision, dental, and FSA
- Parental Leave: Generous leave allowance for
parents-to-be
- 401k: Pre-tax savings for retirement
- Life Insurance: Protect your family in
case of emergency
- PTO: Take as much time as you need,
when you need it
- 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
- WFH Allowance: Generous reimbursement program to maximize your WFH setup
- Deskpass: Work in an office environment whenever you feel the need
- Mental Health Provider: Connect with clinicians when you need it
- Learning & Development: Self-education allowance & free career coaching
- Employee Assistance Program "EAP": Lifestyle resources available as well as additional mental health resources
- Fertility Provider: Family planning solutions for those interested
- Personal Legal Support: Significant discounts with RocketLawyer