As a Senior Data Scientist on the AI Decisioning team in the Communications Tribe, you will be at the heart of optimizing the intelligence that transforms Company's customer engagement strategy. You will focus on complex feature engineering and optimization, developing the critical data features and applying advanced analytical techniques to maximize the performance of our state of the art AI decisioning platform. Your work provides the rich, predictive data and continuous optimization that allows this automated engine to determine the right message, for the right customer, at the right time, on the right channel. This is a unique opportunity to drive impactful business outcomes through enhanced personalization and predictive analytics , while also exploring how Generative AI can automate and scale content in an iterative process with marketing stakeholders, directly influencing how we engage with millions of customers globally
Core Tech Stack Experience: You are comfortable working with Python (including libraries like pandas and scikit-learn) and SQL. You have hands-on experience with core machine learning methodologies (e.g., regression, classification) and experimentation (e.g., A/B testing) A Mindset of Ownership & Initiative: You are proactive and accountable, demonstrating full ownership of your work from ideation to impact. You have a passion for driving measurable outcomes and a knack for identifying and solving potential issues before they become critical
Generative AI Knowledge: Familiarity with or a strong interest in leveraging Generative AI models (e.g., LLMs) for content automation, including prompt engineering
Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, Company is not just a workplace; it's a lifestyle of perks and possibilities
At Company we embrace and welcome diversity and we currently employ over 7,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table. #Data