Data Scientist

Msd Limited

Lisboa

Híbrido

EUR 70.000 - 100.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

JobCopilot is seeking a Data Scientist with a growth mindset to turn data and AI into measurable business value. You will partner with cross-functional teams to deliver data science and AI use cases, design and deploy advanced analytics, and promote responsible AI practices.

You will translate business needs into scalable data products, MVPs, and AI-enabled solutions, leveraging cloud platforms to drive performance and governance across the organization. Hybrid work model offered.

Formación

  • 3+ years in Data Science, Advanced Analytics, ML, AI, BI or related fields.
  • Hands-on analytics lifecycle experience: exploration, prep, feature engineering, modeling, validation, deployment, monitoring, value measurement.
  • Experience with Generative AI, LLMs, AI copilots, prompt engineering, RAG.
  • Strong Python and/or R, with SQL and modern data science libraries.
  • Ability to translate business needs into analytical/AI solutions and manage stakeholder expectations.

Responsabilidades

  • Partner with business teams to identify and deliver data science, segmentation and AI use cases.
  • Design, develop, and deploy analytics, ML, GenAI, and predictive solutions.
  • Translate business needs into scalable data products and AI-enabled solutions.
  • Promote AI adoption and educate stakeholders on responsible AI practices.
  • Develop MVPs and proofs of concept to accelerate innovation.
  • Leverage cloud data platforms and ML frameworks to improve processes.
  • Collaborate with data engineers and leaders to ensure scalable solutions.
  • Communicate findings clearly to technical and non-technical audiences.
  • Foster continuous learning and knowledge sharing across the organization.
  • Ensure data governance, privacy, security, and responsible AI standards.

Conocimientos

Data analysis
Python
R
SQL
Communication
Stakeholder management
Agile
Portuguese
English

Educación

Degree in Data Science, Computer Science, Statistics, Engineering, Maths, Economics

Herramientas

Azure
Databricks
AWS
GCP

Descripción del empleo

JobCopilot will tailor your resume and auto-fill the application

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)

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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