Data Science - Engagement Lead

Posted 7 Days Ago
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San José, San José, CRI
In-Office
Expert/Leader
Healthtech • Biotech • Pharmaceutical
The Role
Leads enterprise data science and AI initiatives across Roche, including predictive, causal, and generative AI architecture; mentors data science teams; develops prototypes and business cases; advises executive stakeholders; shapes product strategy; and partners with engineering and MLOps teams to operationalize scalable AI solutions.
Summary Generated by Built In

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

As a Data Science - Engagement Lead, you will join the Global Analytics and Technology Center of Excellence (GATE) within Roche Services & Solutions (RSS) in San José, Costa Rica. In this high-impact, technical leadership role, you will architect advanced enterprise AI solutions, mentor data science talent, and serve as a strategic consultant across global business divisions (Commercial, R&D, Diagnostics). Operating in an agile environment, you will drive predictive, causal, and generative AI initiatives while shaping GATE-level product strategy, talent enablement, and cross-center innovation.

The Opportunity

  • Technical Leadership & Mentorship: Lead and mentor Senior Data Scientists across Predictive AI and Causal & Experimentation AI sub-teams, fostering modular coding standards, MLOps best practices, and agile delivery.

  • Strategic Business Consulting: Act as a trusted AI consultant to global executive stakeholders, translating complex healthcare and business challenges into actionable Data Science and AI strategies.

  • GATE Strategy & Product Roadmap: Drive GATE-wide center initiatives, shaping AI product development strategy, talent enablement programs, and standard methodologies across the ecosystem.

  • Rapid Prototyping & ROI: Design and build Proofs of Concept (POCs), prototypes, and business cases to demonstrate tangible value and secure executive buy-in.

  • Advanced AI Architecture: Architect robust predictive models, causal inference frameworks (A/B testing, quasi-experiments), and Enterprise Generative AI solutions (RAG, fine-tuning, Agentic AI workflows).

  • End-to-End MLOps & Delivery: Partner with Data Engineering and MLOps teams to design, operationalize, and maintain scalable ML/AI pipelines, ensuring automated deployment and monitoring.

  • Agile Collaboration: Collaborate across global cross-functional teams, facilitating reviews, demos, and retrospectives to continuously enhance solution delivery.

Who You Are

  • Bachelor’s or Master’s degree in Data Science, Statistics, AI/ML, Computer Science, Quantitative Analytics, or a related field. Professional certifications in Data Science, Cloud AI, or GenAI are advantageous.

  • 12+ years of overall experience in Data Science/AI, including 5+ years leading AI product lifecycles and mentoring data science teams.

  • Proven track record in predictive modeling, causal inference, LLMs, RAG, and Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI).

  • Hands-on experience with Python, SQL, modern pipeline tools (dbt, PySpark), MLOps platforms (MLflow, Kubeflow, AWS SageMaker), containerization (Docker, Kubernetes), and AWS.

  • Exceptional communication and consulting skills with a demonstrated ability to present business cases to executive leadership (pharmaceutical or healthcare domain experience is a plus).

  • Must be currently based in Costa Rica or hold valid work authorization for San José.

No relocation benefits are offered for this position.

 

 

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

Skills Required

  • Bachelor's or Master's degree in Data Science, Statistics, AI/ML, Computer Science, Quantitative Analytics, or a related field
  • 12+ years of overall experience in Data Science or AI
  • 5+ years leading AI product lifecycles and mentoring data science teams
  • Proven experience with predictive modeling, causal inference, LLMs, RAG, and Agentic AI frameworks
  • Hands-on experience with Python, SQL, dbt, PySpark, MLflow, Kubeflow, AWS SageMaker, Docker, Kubernetes, and AWS
  • Exceptional communication and consulting skills, including presenting business cases to executive leadership
  • Currently based in Costa Rica or holding valid work authorization for San Jose, Costa Rica
  • Professional certifications in Data Science, Cloud AI, or Generative AI
  • Pharmaceutical or healthcare domain experience

Roche Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roche and has not been reviewed or approved by Roche.

  • Retirement Support — U.S. materials describe a 401(k) with both matching and an additional company contribution, supported by formal plan documents and true‑up features. This structure is positioned as a standout element of the total package, particularly at Genentech.
  • Leave & Time Off Breadth — Time‑off provisions include substantial vacation, a year‑end shutdown, and a paid six‑week sabbatical after six years. These elements indicate a recharge‑oriented approach within the U.S. offering.
  • Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, and mental‑health resources alongside well‑being programs. Benefits pages consistently highlight breadth across core health coverage elements.

Roche Insights

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The Company
Provincia de Buenos Aires
93,797 Employees
Year Founded: 1896

What We Do

Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).

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