Principal Data Scientist (AI)

Location: US - Massachusetts; hybrid work with required on-site work from an hirify.global office.

Annual base salary: $170,600.00–$255,875.00, with possible incentive compensation.

Company

hirify.global is a medical device company developing the Omnipod insulin management platform and other drug-delivery solutions for people with diabetes and other conditions.

What you will do

• Define analytical methodologies, standards, best practices, and roadmaps across the Enterprise Data & AI organization.
• Lead complex statistical analyses, causal inference, experimentation, forecasting, anomaly detection, survival analysis, simulation, segmentation, and optimization initiatives.
• Set technical standards for predictive and machine learning model design, validation, explainability, monitoring, lifecycle management, and production readiness.
• Translate ambiguous strategic business challenges into analytical programs, decision criteria, measurement strategies, and actionable recommendations for senior leaders.
• Establish reproducible analysis, documentation, peer review, governance, validation, and release-readiness practices.
• Mentor Data Scientists and Senior Data Scientists while influencing cross-functional delivery with Analytics, Data Engineering, AI Engineering, MLOps, governance, and business teams.

Requirements

• 10+ years of relevant professional experience in data science, statistics, econometrics, operations research, applied mathematics, machine learning, or a related quantitative discipline.
• Technical leadership experience for complex, cross-functional analytical initiatives with material business impact.
• Expert-level statistical methodology knowledge, including experimental design, causal inference, regression, forecasting, Bayesian methods, and machine learning.
• Deep proficiency in Python and modern data science libraries, including pandas, NumPy, SciPy, statsmodels, and scikit-learn.
• Extensive experience developing and validating predictive models and transitioning them into production environments.
• Ability to translate ambiguous business challenges into analytical frameworks, decision criteria, and defensible quantitative solutions.
• Ability to influence senior leaders and cross-functional teams through evidence, technical credibility, and clear communication.
• Experience conducting technical reviews, establishing analytical standards, and mentoring experienced practitioners.
• Hands-on experience with Databricks or a comparable cloud-based data and analytics platform.
• Exceptional written and verbal communication skills, including explaining complex quantitative concepts to non-technical audiences.

Nice to have

• Master's degree or PhD in statistics, mathematics, econometrics, operations research, computer science, engineering, or a related quantitative field.
• Experience in a regulated industry such as medical devices, healthcare, pharmaceuticals, life sciences, or financial services.
• Depth in experimentation, causal inference, forecasting, survival analysis, optimization, or advanced machine learning.
• Experience establishing analytical standards, governance practices, reusable frameworks, or enterprise data science capabilities.
• Publications, patents, conference presentations, open-source contributions, or other evidence of thought leadership.
• Experience advising executive leaders on strategic decisions through quantitative evidence.
• Experience working across geographically distributed, multidisciplinary teams.

Culture & Benefits

• Full-time employment with hybrid working arrangements and on-site office work.
• Medical, dental, and vision insurance.
• 401(k) with company match.
• Paid time off and employee wellness programs.
• Work focused on improving lives through diabetes technology and responsible data-driven decision-making.