Senior Data Science & Analytics Leader – Remote

LivaNova; Arvada (CO); Remote; USD 170,000 - 190,000; Full time

Benefits offered by this job

401K

Stock Purchase Plan

Training & Education Assistance

Flexible Work Schedules

Job summary

LivaNova is seeking a Senior Manager, Data Science & Advanced Analytics, to lead a team delivering high-impact analytics across business units and enterprise. You will translate business questions into scalable analytical products and drive adoption through clear guidance and governance.

You will manage a team of applied data scientists and analysts, partnering with leaders to identify opportunities in ML, forecasting, segmentation, and AI-enabled decision support while ensuring delivery quality

Qualifications

• 7+ years applying data science and analytics to real-world business problems.
• 3+ years in people leadership with cross-project delivery experience.
• Proficiency in Python or R and strong SQL skills; familiarity with cloud analytics environments.

Responsibilities

• Lead, coach, and develop data scientists and analysts, setting expectations for technical quality and business impact.
• Own day-to-day portfolio management across stakeholders and align with business priorities.
• Identify high-value opportunities for analytics, ML, forecasting, and AI-enabled decision support.
• Translate business questions into well-scoped analytical products with defined users and success metrics.
• Provide technical guidance on model selection, validation, and explainability; manage governance and risk.

Skills

Python/R

SQL

Stakeholder comms

Leadership

Data storytelling

Education

Bachelor's degree in data science, statistics, CS or related field

Tools

Cloud platforms

Dashboarding

Job description

LivaNova is seeking a Senior Manager, Data Science & Advanced Analytics, to lead a team delivering high-impact analytics across business units and enterprise. You will translate business questions into scalable analytical products and drive adoption through clear guidance and governance.

You will manage a team of applied data scientists and analysts, partnering with leaders to identify opportunities in ML, forecasting, segmentation, and AI-enabled decision support while ensuring delivery quality