Data Scientist (Mid-Senior) Vila Nova de Gaia

Data Scientist (Mid-Senior)
Vila Nova de Gaia
Vila Nova de Gaia, Porto District, Portugal

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Responsibilities

• Take ownership of data science initiatives and projects, demonstrating a proactive and
  - driven approach.
• Analyze and interpret complex datasets to extract meaningful insights and provide
  - driven recommendations.
• Collaborate with multidisciplinary teams to understand business needs, designing and implementing statistical models and machine learning algorithms.
• Leverage big data technologies and distributed computing frameworks, or cloud computing expertise, for processing large volumes of data.
• Develop and deploy predictive models and algorithms in
  - world production environments.
• Conduct exploratory data analysis, feature engineering, and model validation.
• Communicate findings and insights effectively to both technical and
  - technical stakeholders.
• Embrace a
  - driven,
  - oriented mindset, fostering teamwork and collaboration.

Your Profile

• 2+ years of experience in data science roles focusing on statistical modeling, machine learning, and predictive analytics.
• Proficiency in SQL, Python, and distributed/cloud processing frameworks like Pyspark.
• Familiarity with libraries such as Tensorflow, Keras, Py
  Torch, Scikit-learn.
• Strong understanding of statistical analysis, hypothesis testing, and machine learning techniques.
• Experience with data visualization tools like Seaborn, Matplotlib, or Plotly.
• Experience working with large datasets and distributed computing,
  - premises or in the cloud.
• Excellent communication skills for effective collaboration.
• Analytical mindset with attention to detail and
  - solving skills.
• Academic background in Engineering, Data & AI, or Computer Sciences.
• Familiarity with cloud platforms (Azure, GCP, AWS) is a plus.
• Fluency in English is mandatory.

What You’ll Love About Working Here

• Multicultural and inclusive team environment.
• Supportive atmosphere promoting
  - life balance.
• Participation in exciting national and international projects.
• Hybrid work model.
• Career growth programs and diverse professional development opportunities.
• Training and certification programs.
• Referral bonuses for talent recommendations.
• Great office locations.

About Capgemini

Choosing Capgemini means joining a company that empowers your career, supports and inspires you, and fosters collaboration worldwide. Help leading organizations unlock technology’s value and build a sustainable, inclusive future.

Apply now!