Senior Manager, Data Science – Advanced Analytics

Job not on LinkedIn

🔥 11 minutes ago

⛰️ Colorado, New York, +1 more states – Remote

⛰️ Colorado – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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LivaNova

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏭 Manufacturing

🏥 Healthcare

🧬 Biotechnology

Manufacturing • Healthcare • Biotechnology

LivaNova is a global medical technology company built on nearly five decades of experience and a relentless commitment to improve the lives of patients around the world. With a focus on medical devices, neuromodulation, and cardiac surgery, LivaNova offers advanced technologies and breakthrough treatments that provide meaningful solutions for patients, healthcare professionals, and healthcare systems. Headquartered in London and active in over 100 countries, LivaNova emphasizes bringing both clinical and economic value to its customers, being recognized as a market leader in cardiopulmonary and neuromodulation solutions.

📋 Description

• Lead, coach, and develop data scientists and analysts • Own day-to-day portfolio management across commercial and enterprise stakeholders • Partner with business leaders to identify high-value opportunities for advanced analytics, machine learning, forecasting, causal inference, segmentation, optimization/automation, and AI-enabled decision support • Translate ambiguous business questions into well-scoped analytical products with defined users, success measures, timelines, risks, and adoption plans • Provide final review and technical guidance for analytical design, model selection, validation, interpretation, explainability, bias assessment, and communication of limitations • Drive the transition of basic reporting, routine data pulls, and repeatable analyses to governed self-service solutions or appropriate business owners • Build reusable approaches, shared standards, and scalable workflows • Communicate insights as clear business stories with recommendations, trade-offs, and next steps • Collaborate with IT, data, privacy, legal, compliance, and business teams on data access, platform needs, deployment, governance, and responsible use of analytics and AI • Oversee measurement of solution adoption, model performance, operational outcomes, and business value • Support talent planning, hiring, resource allocation, vendor or contractor coordination, and development of the team operating model • Maintain hands-on technical depth to guide complex work, troubleshoot critical issues, and contribute to priority analyses

🎯 Requirements

• Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field; advanced degree is strongly preferred • 7+ years experience applying data science and advanced analytics to real-world business problems, including ownership from problem definition through adoption and measurement • 3+ years in people leadership with experience coaching technical team members, reviewing work, setting standards, and coordinating delivery across multiple projects • Expertise in Python or R and strong working knowledge of SQL • Experience with modern cloud analytics environments and version-controlled development workflows • Demonstrated knowledge of statistical modeling and machine learning methods • Experience building trusted partnerships with commercial, marketing, sales, operations, finance, strategy, or other business functions • Ability to synthesize complex analyses into concise, decision-oriented recommendations for senior leaders and non-technical audiences • Experience developing self-service analytics, repeatable products, or transition plans that shift routine work closer to business users • Excellent prioritization, organizational, and change-management skills in a fast-paced, evolving environment • Working knowledge of responsible AI, data privacy, model governance, and validation practices • Experience in a regulated industry is a plus • Healthcare, medical-device, CRM, electronic health record, or claims-data experience is a plus • Interest in learning about commercial, operations, finance, and clinical business areas is a plus • Limited travel, generally less than 10%, may be required

🏖️ Benefits

• Health benefits – Medical, Dental, Vision • Personal and Vacation Time • Retirement & Savings Plan (401K) • Employee Stock Purchase Plan • Training & Education Assistance • Bonus Referral Program • Service Awards • Employee Recognition Program • Flexible Work Schedules • Discretionary annual bonus