Spearhead the development of advanced analytics and algorithms to enhance user-facing generative AI capabilities
Lead end-to-end machine learning projects, ensuring adherence to scientific best practices
Collaborate with product managers, engineers, and cross-functional partners to integrate data-driven solutions into existing processes
Utilize statistical modeling and controlled experiments to deliver actionable insights for business strategies and product development
Accelerate team productivity by providing technical mentorship and contributing to internal tooling

Requirements

Advanced degree (PhD or Master’s) in a quantitative field (science, math, engineering, etc.)
3+ years of experience driving impact on cross-functional data science projects
Advanced proficiency in Python and SQL
Strong knowledge of traditional machine learning, with experience in NLP and deep learning considered advantageous.
Experience in designing, deploying, and evaluating generative AI applications
Familiarity with common model and service deployment frameworks
Experience mentoring other data scientists
Excellent communication skills and ability to build trusting relationships with stakeholders
Demonstrated ability to work autonomously

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLmachine learningnatural language processingdeep learningstatistical modelinggenerative AIdata-driven solutionsmodel deployment frameworksdata science

Soft Skills

technical mentorshipcommunication skillsrelationship buildingautonomycollaboration

Certifications

PhDMaster’s