Data Scientist II, Fraud and Deep Learning
Socure
PythonPyTorchTensorflow
VP – Data and AI
Atria Institute
full-time
Posted on:
Origin: • 🇺🇸 United States • New York
Visit company websiteSalary
💰 $245,000 - $330,000 per year
Job Level
Lead
Tech Stack
PyTorchTensorflow
About the role
- Lead strategy, governance, and technical execution of data and AI across the organization
- Own development of Atria’s data platform and AI engineering capabilities to ensure safe, responsible, and scalable use of data and AI
- Report directly to the Chief Product Officer and oversee a small but growing team of data engineers and analytics professionals
- Assess, redesign, and scale Atria’s existing data platform as the single source of truth for clinical and operational data
- Build and scale internal APIs, safe data movement patterns (de-identification, audit trails, encryption, access controls), and data pipelines
- Establish robust data governance, privacy enforcement, and compliance frameworks at the data layer
- Define AI guardrails, use-case tiers, approval criteria, evaluation frameworks, rollback procedures, and human-in-the-loop requirements
- Maintain an AI/ML model and agent inventory with versioning, owners, and change control; establish monitoring and incident response for drift, bias, and safety
- Build and lead an AI Engineering team responsible for model development, infrastructure, and deployment; drive the technical AI roadmap
- Partner with product, engineering, clinical, compliance, security, and legal stakeholders to align AI/data initiatives with company strategy and regulations (HIPAA, FDA)
- Run enablement programs including office hours, playbooks, and safe sandboxes; support domain teams with reviewed prompts, APIs, and reusable capabilities
- Collaborate with researchers and global institutions to advance healthcare innovation and ensure platform contributions to global scientific progress
Requirements
- Hybrid role based in New York City, with 3 days/week in the office (Tuesday–Thursday)
- 12+ years in data engineering, AI/ML, or related technical fields, including 5+ years in leadership roles
- Proven experience building data and AI teams from the ground up, ideally in a scaling or startup environment
- Deep technical expertise in data architecture, data governance, and modern AI/ML systems
- Demonstrated success redesigning or revamping data platforms to meet evolving business needs
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch) and AI infrastructure at scale
- Strong understanding of healthcare data standards, privacy rules (HIPAA, PHI handling), and regulated AI development
- Track record of delivering AI/ML projects from concept to production with measurable impact
- Experience building and scaling technical teams, ideally in both data engineering and AI engineering
- Ability to operate effectively in small but growing environments, balancing hands-on contributions with executive leadership
- Comfort and excitement working hands-on with code and modern AI/ML tools; enjoys experimenting and prototyping alongside the team
- Ability to set and execute a clear vision for data and AI across a complex organization
- Excellent communication skills, with ability to explain technical concepts to executive, clinical, and non-technical stakeholders
- Demonstrated ability to build consensus, influence without authority, and drive cross-functional alignment
- Experience working with product management, clinical leaders, and compliance stakeholders in a highly regulated environment
- Bachelor’s degree in Computer Science, Engineering, or related field required
- Advanced degree (MS/PhD) in AI/ML, Data Science, or a related technical discipline strongly preferred
- Preferred: Experience in health tech, biotech, or similarly regulated industries; background in AI platform engineering, developer tools, or ML infrastructure; contributions to AI/ML research or open-source communities; previous experience at a high-growth SaaS or healthcare technology company
