Data Science Associate (Fashion)

TL;DR

Data Science Associate (Fashion): Engineering technical solutions to solve business challenges in digital marketing and e-commerce with an accent on data lifecycle management, from acquisition to visualization. Focus on building operational data platforms, ETL pipelines, and collaborating with partners in an agile organization.

Location: Porto

Company

hirify.global is a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services.

What you will do

• Engineer technical solutions to solve business challenges in digital marketing, e-commerce, Business Intelligence, and self-service analytics.
• Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.
• Support clients in executing Big Data strategies by designing and building operational data platforms, ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, and training/scoring machine learning models.
• Collaborate with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.
• Share data engineering knowledge by giving technical training and guiding junior team members.

Requirements

• 3-5 years of experience in data analytics.
• Software development experience using programming languages: Python (PySpark).
• Good knowledge of object-oriented programming & ability to write clean maintainable code.
• At least 2 years of hands-on experience with Azure: Data factory, Databricks and other data analytics services.
• Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
• Advanced English (written and spoken).

Nice to have

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

Culture & Benefits

• Become part of a fast-growing international and diverse team.
• Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.