Senior Manager, Data Science & Advanced Analytics — Remote

LivaNova PLC

United States

Hybrid

USD 170,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Health benefits
401K Plan
Stock Purchase Plan
Education assistance
Referral bonus
Service awards
Recognition program
Flexible schedules
Vacation time

Job summary

LivaNova PLC is seeking a Senior Manager to lead the day-to-day delivery of high-impact data science and advanced analytics across business units and enterprise stakeholders. You will guide a team of applied data scientists and analysts, shaping a prioritized portfolio of work and translating questions into analytics products.

You will partner with leaders to drive adoption, maintain technical depth, and deliver measurable business value through self-service analytics and governed solutions.

Qualifications

  • Bachelor’s degree in a quantitative field; advanced degree preferred.
  • 7+ years applying data science to real-world problems with adoption.
  • 3+ years in people leadership overseeing technical teams.
  • Expertise in Python or R and SQL; cloud analytics experience; version control.

Responsibilities

  • Lead and develop data scientists and analysts; set quality and growth expectations.
  • Manage portfolio across commercial and enterprise stakeholders.
  • Identify high-value opportunities for analytics and AI-enabled decisions.
  • Translate business questions into scoped analytical products.
  • Ensure insights are communicated as clear business stories.

Skills

Python
R
SQL
Cloud analytics
Leadership

Education

Bachelor's degree in quantitative field

Tools

Git
Jupyter
AWS
Azure

Job description

LivaNova PLC is seeking a Senior Manager to lead the day-to-day delivery of high-impact data science and advanced analytics across business units and enterprise stakeholders. You will guide a team of applied data scientists and analysts, shaping a prioritized portfolio of work and translating questions into analytics products.

You will partner with leaders to drive adoption, maintain technical depth, and deliver measurable business value through self-service analytics and governed solutions.

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