Web Marketing Program - Digital Experience Data Scientist

Overview In this role, you will apply advanced analytics and machine learning to large customer datasets to power personalized digital experiences and measure effectiveness. You will collaborate with marketing, sales, and IT teams to deliver data products that support key business objectives. You’ll build and deploy models that optimize customer journeys and program design in a B2B context. This position offers the chance to shape analytics capabilities and stay at the forefront of data science within a global tech company. ResponsibilitiesDevelop advanced machine learning models for personalization and customer journey optimization in a complex B2B business modelIdentify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectivenessPartner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of usersCreate predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventionsWork closely with engineering teams to drive scalable, real-time implementationsCollaborate with cross-functional teams to translate business requirements into data science solutionsPartner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaignsEnsure data science best practices are followed and models are properly documented and version-controlledStay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities Key requirementsBachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related fieldInternship experience in data science or a related role, preferably in a sales, marketing or e-commerce contextExperience deploying models in production and adjusting models to improve performanceStrong proficiency in Python or R for data analysis and machine learningExperience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.Expertise in statistical analysis, experimental design, and causal inferenceStrong proficiency in SQL and experience working with large datasetsFamiliarity with cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systemsInnovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their applicationStrong problem-solving skills and ability to translate complex analyses into actionable insightsExcellent communication skills, with the ability to present technical concepts to non-technical audiencesstrong communicationproblem-solvingcollaborationPythonRmachine learning