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Salary
≈ $33k – $89k per year (Estimated)
Location
Hybrid (Lisbon, Portugal)
Seniority
Middle · 3+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 12, 2026. Merck & Co. scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Merck & Co. is an American pharmaceutical company founded in 1891 as the United States arm of the German firm Merck and made independent after the First World War, trading as MSD outside the United States and Canada. Its portfolio is dominated by the immuno-oncology drug Keytruda, alongside vaccines such as Gardasil and Vaxneuvance, hospital acute care products, and a large animal health business covering livestock and companion animals. The company is headquartered in Rahway, New Jersey, listed on the New York Stock Exchange, and spends a very large share of revenue on research into oncology, infectious disease and cardiometabolic therapies.
Backed by LAV, Aisling Capital

Job Description

Mindset

We are seeking a Data Scientist with a growth mindset and passion for turning data and AI into measurable business value. This individual thrives in cross-functional environments, acts as a trusted advisor to business stakeholders, and champions a culture of innovation, experimentation, and continuous learning.

  • Passionate about using data science, Artificial intelligence and emerging technologies to improve decision-making, customer experiences, and business outcomes.
  • Acts as a catalyst for AI adoption, helping teams identify opportunities, build capabilities, and embed data-driven ways of working.
  • Fully engaged with the Company's mission, demonstrating strong ethics, curiosity, collaboration, and commitment to patient and business impact.

Key Responsibilities

  • Partner with business teams to identify, prioritize, and deliver data science, segmentation and AI use cases that generate measurable business value.
  • Design, develop, and deploy advanced analytics, machine learning, GenAI, and predictive solutions to solve critical business challenges.
  • Translate complex business needs into scalable data products, insights, models, and AI-enabled solutions.
  • Act as an AI enabler by promoting adoption of AI technologies, educating stakeholders, facilitating experimentation, and driving responsible AI practices.
  • Develop prototypes, proofs of concept, and minimum viable products (MVPs) to accelerate innovation and validate business opportunities.
  • Leverage modern data platforms, cloud technologies, machine learning frameworks, and generative AI capabilities to improve efficiency and effectiveness across business processes.
  • Collaborate with data engineers, data teams, commercial functions, and business leaders to ensure solutions are sustainable, scalable, and aligned with strategic priorities.
  • Communicate analytical findings and AI opportunities clearly to both technical and non-technical audiences, enabling informed decision-making.
  • Foster a culture of continuous learning, knowledge sharing, experimentation, and innovation across the organization.
  • Ensure compliance with data governance, privacy, security, and responsible AI standards.

Basic Qualifications

  • 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, Artificial Intelligence, Business Intelligence, or related fields.
  • Hands-on experience across the end-to-end analytics lifecycle, including data exploration, preparation, feature engineering, model development, validation, deployment, monitoring, and value measurement.
  • Experience with Generative AI technologies, large language models (LLMs), AI copilots, AI agents, prompt engineering, retrieval-augmented generation (RAG), or similar emerging AI capabilities.
  • Strong programming skills in Python and/or R, with experience in SQL and modern data science frameworks and libraries.
  • Experience translating business opportunities into analytical and AI solutions while managing stakeholder expectations and driving adoption.
  • Consulting, communication, and change management skills, with the ability to influence stakeholders across different levels of the organization.
  • Experience identifying, evaluating, and prioritizing innovation opportunities using data automation and AI technologies.
  • Knowledge of cloud analytics environments and AI platforms (Azure, Databricks, AWS, GCP, or equivalent) is preferred.
  • Ability to work in agile, cross-functional teams and lead initiatives that drive organizational change and capability building.
  • Fluency in Portuguese and English, both written and spoken.
  • Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field.

Additional location(s) Compensation Information:

Required Skills:

Data Analysis, Data-Driven Decision Making, Data Engineering, Data Science, Management Consulting, Python (Programming Language)

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

10/20/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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