Data Science Associate (Fashion) Porto

Data Science Associate (Fashion)
Porto
Porto, Porto District, Portugal

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• Opportunity to accelerate the pace of digitalization through advanced technology, business intelligence, and analytics.
• Driving
  - impact insights enhancing decision making across the entire organization.
• Interaction with senior business leaders on regular basis to drive their business towards impactful change.
• Become part of a
  - growing international and diverse team

What you will do

• Conduct advanced data analysis focused on omnichannel customer behavior, CRM performance, and sales effectiveness across digital and physical touchpoints (specific for our team).
• Translate business problems into analytical solutions, from requirement gathering to model deployment and monitoring.
• Build, deploy, and maintain machine learning models (e. g. churn, CLV, segmentation, personalization) using modern MLOps frameworks (e. g. MLflow, Git
  L).
• Leverage Databricks, Azure, or similar cloud infrastructure for scalable data processing and model deployment.
• Use Python, Py
  Spark, and common ML libraries (e. g.
  - learn, XGBoost, Light
  GBM, etc. ) for data transformation, model development, and evaluation.
• Apply statistical methods (e. g. hypothesis testing, A/B testing, confidence intervals) to validate performance and derive actionable insights.
• Communicate findings and recommendations clearly through compelling storytelling and visualizations.
• Collaborate with
  - functional stakeholders (e. g. Business teams, Data Engineering, IT teams) and contribute to
  - centric strategies. .
• Support team development through knowledge sharing, collaboration, and participation in agile working models.

What you’ll bring

• 3–5 years of experience in data science or advanced analytics, ideally in retail or
  - commerce.
• Master’s degree in a quantitative field such as Data Science, Applied Mathematics, Computer Science, or Engineering.
• Proven ability to manage the full lifecycle of an ML solution – from business understanding, data wrangling, and modelling, to production deployment and monitoring.
• Hands-on experience with MLflow, Git, and MLOps frameworks.
• Solid programming skills in Python, including libraries like pandas, Num
  Py,
  - learn, matplotlib, seaborn, and Py
  Spark.
• Experience with Azure (preferred) or AWS, especially in the context of Databricks, data pipelines, and model hosting.
• Good understanding of data warehousing and querying using SQL.
• Familiarity with statistical concepts (e. g. experiment design, hypothesis testing,
  - values).
• Strong communication and stakeholder management skills, including the ability to present technical insights to
  - technical audiences.
• Fluency in English (written and spoken);

Nice to have:

• Experience within the retail and fashion industry.
• Experience within international environments, consultancies, or a
  - up environment.