Data Science Associate Porto

Data Science Associate
Porto
Porto, Porto District, Portugal

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• A chance to grow your analytics skills in a supportive, international environment.
• Direct exposure to
  - world business challenges and
  - driven strategy.
• Mentorship from experienced data scientists and analysts.
• Opportunities to evolve toward more advanced data science roles.
• Dynamic and diverse team within one of the leading global fashion brands.
• Become part of a
  - growing international and diverse team.

What you will do

• Support
  - driven
  - making by preparing and analyzing data related to customer behavior, CRM performance, and sales across multiple channels.
• Work closely with data scientists and business stakeholders to translate business questions into meaningful insights.
• Perform exploratory data analysis (EDA) to support data science model development.
• Use Python and SQL to clean, process, and visualize data in support of analytics and modeling projects.
• Apply basic statistical methods (e. g. descriptive statistics, correlation analysis, hypothesis testing) to uncover insights.
• Ensure data quality and consistency across sources by collaborating with data engineering and IT teams.
• Communicate findings clearly through presentations and storytelling.
• Actively participate in sprint planning, reviews, and agile ceremonies within the team.

What you’ll bring

• 3+years of experience in analytics, business intelligence, or a related data role.
• Bachelor’s or master’s degree in a quantitative field such as Statistics, Economics, Business Analytics, or Engineering.
• Experience working with data using SQL and Python (pandas, matplotlib/seaborn).
• Experience with Py
  Spark and Spark technologies is a strong plus, but not mandatory.
• Basic understanding of statistics and its application in business analytics.
• Strong attention to detail, curiosity, and eagerness to learn.
• Good communication skills, including the ability to explain data insights to
  - technical stakeholders.
• Team player with a proactive mindset and willingness to grow in a collaborative environment.
• Fluency in English (written and spoken)

Nice to have:

• Exposure to cloud platforms like AWS, Azure or Databricks.
• Knowledge of Python packages used in machine learning (e. g.
  - learn).