n/a
− Build and maintain the data architecture for the Digital Assistant ensuring its robustness and scalability.
− Track and report key performance indicators (KPIs) and business targets in an accessible business-centric language.
− Implement and manage tracking mechanisms for solution functionalities enabling meaningful analysis of their performance.
− Develop and maintain business reports for all solutions aligning them with business objectives and ensuring ease of understanding and consumption by business users.
− Provide valuable metrics and insights on the Digital Assistant's performance to stakeholders.
− Drive data-driven product optimization by identifying and suggesting improvements based on historical data analysis.
− Minimum of 3 years of experience in data science and/or data engineering within a corporate environment; experience in the automotive sector is a plus.
− Proven experience in data mining and data visualization.
− Mandatory experience with PowerBI and Google Data Studio.
− Prior experience with databases (NoSQL or Relational databases).
− Ability to identify and translate business opportunities from data insights.
− Demonstrated ability to derive actionable items from large and complex datasets.
− Strong domain knowledge in data science principles and methodologies.
− Experience with JIRA or similar work tracking tools is an advantage.
− Proficiency in a query language (e.g. SQL) is an advantage.
− Google certification "Cloud Database Engineer" "Generative AI Leader" "Data Engineer" "Data Practitioner"
− Knowledge of Python is an advantage.
− Familiarity with Natural Language Processing (NLP) is an advantage.
− Experience with Machine Learning (ML) concepts and applications is an advantage.
− Excellent communication skills with the ability to convey complex data concepts to non-technical stakeholders.
− Possess an analytical proactive and collaborative mindset.