Lead end-to-end data science projects from research to production implementation
Establish data science best practices, methodologies, and standards for the team
Research and implement advanced machine learning techniques and emerging AI technologies
Drive strategic data science initiatives that impact multiple product lines
Mentor junior and mid-level data scientists and collaborate on cross-functional AI projects
Present research findings and strategic recommendations to senior leadership
Requirements
Master's/PhD in Computer Science, Statistics, Mathematics, or related field (or equivalent experience)
8+ years of data science experience with leadership in complex ML projects
Expert-level proficiency in Python, advanced ML frameworks, and statistical modeling
Proven experience with Azure ML, big data technologies, and production model deployment
Strong research background with the ability to translate business problems into data science solutions.
Benefits
Competitive pay, annual bonuses, and top-performer recognition.
Comprehensive health, family, and retirement benefits.
Flexible work options, generous PTO, and wellness programs.
Professional growth through learning platforms, mentorship, and leadership programs.
Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningstatistical modelingPythonadvanced ML frameworksbig data technologiesproduction model deploymentdata science best practicesresearch methodologiesAI technologies