Web Marketing Program - Digital Experience Data Scientist

Qualifications

• Minimum Requirements:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
• Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
• Experience deploying models in production and adjusting models to improve performance.
• Strong proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
• Expertise in statistical analysis, experimental design, and causal inference.
• Strong proficiency in SQL and experience working with large datasets.
• Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
• Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
• Strong problem-solving skills and ability to translate complex analyses into actionable insights.
• Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
• Preferred Qualifications:
• Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
• Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
• Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
• Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
• Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
• Experience with natural language processing (NLP) and text analytics.
• Understanding of digital marketing concepts and customer journey mapping.
• Minimum Requirements: - Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field. - Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context. - Experience deploying models in production and adjusting models to improve performance. - Strong proficiency in Python or R for data analysis and machine learning. - Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc. - Expertise in statistical analysis, experimental design, and causal inference. - Strong proficiency in SQL and experience working with large datasets. - Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems. - Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application. - Strong problem-solving skills and ability to translate complex analyses into actionable insights. - Excellent communication skills, with the ability to present technical concepts to non-technical audiences. Preferred Qualifications: - Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field. - Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot). - Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph) - Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ). - Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory). - Experience with natural language processing (NLP) and text analytics. - Understanding of digital marketing concepts and customer journey mapping.