Principal Data Scientist

SheerID

3d

About The Position

Role Specific Job Duties:
Architect Fraud Solutions: Partner with product & engineering to design and implement high-performance, scalable AI/ML models to detect and prevent fraud in data-intensive applications.
Drive Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform.
Mentor and Lead: Provide technical leadership through architectural reviews and mentorship, fostering a culture of automation and continuous learning.
Influence Strategy: Partner with product and engineering leadership to define the roadmap, balancing model scaling with reliability trade-offs.
Solve Complex Challenges: Act as the technical escalation point for the "hairiest" problems, from data quality issues to model performance bottlenecks.
Own the Lifecycle: Manage projects from design and development to deployment, monitoring, and post-mortem analysis.
Collaborate Cross-Functionally: Translate complex business requirements and research into robust, production-ready AI solutions alongside engineers and product managers..

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, or a related quantitative field (equivalent experience considered).
• 20+ years of relevant experience in data science, with a strong focus on predictive fraud analytics and large-scale data applications.
• Proven ability to design, develop, and deploy scalable and maintainable machine learning models in a production environment.
• Deep understanding of statistical methods, machine learning algorithms, and advanced data mining techniques.
• Proficiency in a statistical/general programming language (e.g., Python, R, Scala), with extensive experience with relevant libraries and frameworks.
• Expertise in debugging complex data issues and model performance problems.
• Exceptional communication, interpersonal, and problem-solving skills, with a demonstrated ability to influence and lead across teams.
• Strong foundational knowledge of data architecture/data warehousing and a track record of execution.

Nice To Haves

• Expertise with Big Data, Data Science, or Stream Processing techniques.
• Experience applying advanced AI models, including computer vision and deep learning, to solve real-world problems.
• Experience with AWS, Kubernetes, VertexAI, Labelbox, and MLOps practices.
• Experience with SQL and NoSQL databases (MongoDB, Elasticsearch, etc.).
• Experience with graph analysis and network science for fraud detection.
• Experience with automated data processing pipelines and feature engineering at scale.

Responsibilities

• Architect Fraud Solutions: Partner with product & engineering to design and implement high-performance, scalable AI/ML models to detect and prevent fraud in data-intensive applications.
• Drive Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection platform.
• Mentor and Lead: Provide technical leadership through architectural reviews and mentorship, fostering a culture of automation and continuous learning.
• Influence Strategy: Partner with product and engineering leadership to define the roadmap, balancing model scaling with reliability trade-offs.
• Solve Complex Challenges: Act as the technical escalation point for the "hairiest" problems, from data quality issues to model performance bottlenecks.
• Own the Lifecycle: Manage projects from design and development to deployment, monitoring, and post-mortem analysis.
• Collaborate Cross-Functionally: Translate complex business requirements and research into robust, production-ready AI solutions alongside engineers and product managers.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal