Data Scientist (Mid-Senior) Vila Nova de Gaia

Overview

Data Scientist (Mid-Senior) at Capgemini Engineering

Responsibilities

• Taking ownership of data science initiatives and projects, demonstrating a proactive and
  - driven approach.
• Analyzing and interpreting complex datasets to extract meaningful insights and provide
  - driven recommendations.
• Collaborating with multidisciplinary teams to understand business needs, designing and implementing statistical models and machine learning algorithms.
• Leveraging big data technologies and distributed computing frameworks for processing and analyzing large volumes of data, or equivalent cloud computing expertise.
• Developing and deploying predictive models and algorithms in
  - world production environments.
• Conducting exploratory data analysis, feature engineering, and model validation.
• Effectively communicating findings and insights to both technical and
  - technical stakeholders.
• Embracing a
  - driven,
  - oriented, and collaborative mindset.

Your Profile (Qualifications)

• 2 or more years of experience in data science with focus on statistical modeling, machine learning, and predictive analytics.
• Proficiency in SQL, Python, and distributed/cloud processing frameworks such as Py
  Spark.
• Familiarity with analytics libraries/frameworks like Tensor
  Flow, Keras, Py
  Torch, Scikit-learn.
• Strong understanding of statistical analysis, hypothesis testing, and various ML techniques.
• Hands-on experience with data visualization tools/libraries (e. g. , Seaborn, Matplotlib, Plotly).
• Experience with large datasets and distributed computing frameworks,
  - premises or cloud.
• Excellent communication skills for
  - functional collaboration.
• Analytical mindset, attention to detail, and strong
  - solving skills.
• Solid academic foundation in Engineering, Data & AI, or Computer Science.
• Familiarity with cloud platforms (Azure, GCP, AWS preferred).
• Mandatory fluency in English.

What You’ll Love About Working Here

• Multicultural and inclusive team environment.
• Supportive atmosphere promoting
  - life balance.
• Exciting national and international projects.
• Hybrid work.
• Career growth programs and access to diverse professionals.
• Training and certifications programs.
• Referral program with bonuses for talent recommendations.
• Great office locations.

About Capgemini

Capgemini empowers you to shape your career in a collaborative global community and reimagine what is possible. Join us to help organizations unlock technology value and build a more sustainable, inclusive world.

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