Principal Data Scientist
Posted 23hrs ago
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Job Description
Principal Data Scientist developing and deploying cutting-edge fraud detection systems at SheerID. Collaborating with teams to build scalable AI/ML models for data-driven marketing.
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.
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.
Benefits:
- Health insurance
- 401k matching
- Paid time off
- Flexible work hours

















