The Data Scientist 3 leads moderately complex analytics and machine learning efforts, delivering production-ready solutions and actionable insights. This role is expected to quickly ramp in new environments and independently drive project outcomes.

Key Responsibilities

Design, develop, and deploy predictive and prescriptive models

Lead end-to-end analytics projects from problem framing to production

Engineer features and optimize model performance

Communicate insights and recommendations to technical and non-technical stakeholders

Implement model validation, testing, and monitoring frameworks

Mentor junior data scientists

Collaborate with engineering teams to productionize solutions

Provide technical leadership on modeling approaches and best practices within assigned initiatives

Required Qualifications

Bachelor’s or Master’s degree in a quantitative field

6–10 years of professional data science experience

Strong proficiency in Python or R, including building production-ready analytics workflows

Familiarity with version control (Git)

Strong SQL skills and experience working with large-scale datasets

Experience deploying models into production environments

Solid understanding of statistical inference, ML algorithms, and experimentation design

Preferred Qualifications

PhD in a quantitative field

Familiarity with MLOps tools and CI/CD pipelines

Knowledge of cloud-native data architectures

Experience working in regulated or data-sensitive industries

Demonstrated ability to leverage AI coding assistants (e.g., Claude Code, Codex) to improve productivity and enhance code review and documentation processes

Key Competencies

Independent problem-solving

Stakeholder management

Technical leadership on projects

Business acumen