data scientist for safety solutions

HireHi; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Private health insurance

Sports activity compensation

AWS certification reimbursement

PMP certification reimbursement

Referral program

Mentoring program

Corporate training portal access

Team events and activities

Job summary

HireHi is seeking an experienced Data Scientist / Machine Learning Engineer to design and deploy computer vision models for liveness and anti-spoofing, while building NLP pipelines for behavioral signals. You will own the full ML lifecycle from data labeling to deployment and monitoring, and work on fraud/risk scoring systems.

You will collaborate with backend and mobile teams, contribute to system architecture, and apply your CV and NLP expertise to a high-load, distributed product.

Qualifications

• 5+ years of DS/ML experience in production.
• Deep Computer Vision expertise: liveness, anti-spoofing, face analysis, and image/video classification.
• Strong NLP background: text classification, entity extraction, and behavioral signals.
• Experience with PyTorch or TensorFlow.
• Strong MLOps: deployment, versioning, monitoring, drift detection.
• Hands-on experience with high-load, mobile-first products.
• Experience with fraud and abuse detection and risk scoring systems.
• Proficiency in Python, Pandas, NumPy, and Scikit-learn.
• English proficiency at Intermediate+ or above.
• Nice to have: graph models or relational behavioral analysis.

Responsibilities

• Design and deploy CV models for liveness detection and anti-spoofing.
• Build NLP pipelines for behavioral signal extraction and incident analysis.
• Own the full ML lifecycle: data annotation, training, deployment, monitoring.
• Develop and maintain fraud and abuse detection systems.
• Contribute to safety scoring using behavioral and historical data.
• Integrate ML models with backend services and mobile infrastructure.
• Participate in system architecture discussions.
• Collaborate with the product team on hypothesis definition and validation.

Skills

DS/ML experience

Computer Vision

NLP

PyTorch

TensorFlow

MLOps

Python

Pandas

NumPy

Scikit-learn

English proficiency

Graph models (nice to have)

Tools

PyTorch

TensorFlow

Job description

Описание:

Andersen is a pre-IPO software development company that provides full-cycle services to enterprises and middle-sized firms, helping them transform their businesses through digital solutions and innovative technologies.

Задачи:

• Design and deploy CV models for liveness detection and anti-spoofing
• Build NLP pipelines for behavioral signal extraction and incident analysis
• Own the full ML lifecycle, including data annotation, training, deployment, and monitoring
• Develop and maintain fraud and abuse detection systems
• Contribute to safety scoring using behavioral and historical data
• Integrate ML models with backend services and mobile infrastructure
• Participate in system architecture discussions
• Collaborate with the product team on hypothesis definition and validation

Требования:

• Have 5+ years of DS/ML experience in a production environment
• Have deep expertise in Computer Vision, including liveness, anti-spoofing, face analysis, and image/video classification
• Have a solid NLP background, including text classification, entity extraction, and behavioral text signals
• Have experience with PyTorch or TensorFlow
• Have strong MLOps skills, including model deployment, versioning, monitoring, and drift detection
• Have hands‑on experience with high-load, mobile-first products
• Have experience with fraud and abuse detection and risk scoring systems
• Have proficiency in Python, Pandas, NumPy, and Scikit-learn
• Have English proficiency at Intermediate+ level or above
• Nice to have: familiarity with graph models or relational behavioral analysis

Условия:

• The opportunity to change the project and develop expertise in an interesting business domain
• Professional, financial, and career growth opportunities
• Mentoring and adaptation systems for each new employee
• The opportunity to earn up to an additional 1,000 USD per month depending on expertise, included in the annual bonus through participation in company activities
• Access to the corporate training portal
• Corporate events and activities, including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies
• Certification compensation, including AWS and PMP
• Referral program
• Private health insurance and sports activity compensation
• Work is available fully remotely, from the office, or in a hybrid format