Work closely with engineering teams to drive scalable, real-time implementations.
Collaborate with cross-functional teams to translate business requirements into data science solutions.
Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
Ensure data science best practices are followed and models are properly documented and version-controlled.
Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.
Minimum Requirements
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
Cumulative GPA of 3.0/4.0
Preferred Qualifications
Master'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.
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.
