SheerID

Principal Data Scientist

SheerID

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

PythonScala

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI modelsML modelspredictive fraud analyticsmachine learning algorithmsdata mining techniquesPythonRScaladata architecturedata warehousing
Soft Skills
technical leadershipmentorshipcommunicationinterpersonal skillsproblem-solvinginfluencecollaborationcontinuous learninginnovationproject management
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringBachelor’s degree in StatisticsBachelor’s degree in Mathematics