The Data Analytics Engineer will design, build, and optimize reliable datasets and semantic layers within the Google Cloud Platform ecosystem. They will collaborate with cross-functional teams to standardize data definitions and enable self-service reporting for business partners.
The Data Scientist will translate complex marketing data into predictive insights to optimize customer acquisition, retention, and media spend. They will also design scientific experiments and build robust data pipelines to support evidence-based marketing strategies.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning models and AI systems within the ADT ecosystem. This role involves operationalizing algorithms, automating retraining cycles, and ensuring the scalability and security of intelligence systems.
You will act as a retention specialist handling high-volume incoming calls from customers requesting to cancel services by identifying opportunities and recommending solutions to retain their business. The role involves de-escalating difficult situations, negotiating terms, and upselling products to ensure long-term customer loyalty.
The Retention Specialist handles high-volume incoming calls from customers requesting to cancel services, acting as an expert problem solver to retain business. You will proactively identify opportunities to upsell and negotiate solutions while providing an award-winning customer experience.
The representative will handle inbound calls from marketing campaigns to sell personal emergency response systems and assist customers with order placement. They will also perform outbound follow-up calls to undecided leads and manage customer information requests.
The Principal Data Scientist will lead complex data science projects and apply advanced statistical and machine learning techniques to drive actionable insights. They will also mentor team members and collaborate with cross-functional stakeholders to influence product and operational roadmaps.
The Director of AI ML will lead a high-performing team of data scientists and machine learning engineers to develop scalable AI solutions and predictive products. They will define the strategic AI roadmap and collaborate with executive stakeholders to translate complex data assets into measurable business value.
The Senior Director will lead a team of engineers and researchers to develop and deploy cutting-edge machine learning and AI solutions. They are responsible for defining the strategic roadmap, ensuring cross-functional collaboration, and establishing frameworks for responsible AI and ethics.
