Copenhagen, Capital Region of Denmark, Denmark
- Develop and execute the global AI strategy aligned with business objectives. - Identify and prioritize AI-driven opportunities in content recommendation, personalization, search, voice technologies, and creator tools. - Drive the integration of generative AI technologies to augment NLP capabilities (information retrieval, summarization, synthetic data generation for training, etc.) and create innovative tools for content production. - Explore and implement AI models to enable hyper-personalized experiences for listeners. - Oversee the development of machine learning models and algorithms to personalize user experiences. - Lead initiatives in Natural Language Processing (NLP) for automatic transcription, translation, and sentiment analysis. - Build, mentor, and lead a multidisciplinary AI team, including data scientists, data engineers, ML engineers, and MLOps Platform engineers. - Foster a culture of innovation, collaboration, and continuous learning within the AI department. - Partner with product, engineering, and platform to integrate AI solutions into the platform. - Ensure ethical use of AI and maintain the highest standards of data privacy and security. - Establish metrics to measure the impact and success of AI initiatives. - Represent the company as a thought leader in AI at industry events and conferences. - Stay abreast of emerging AI technologies and trends to ensure a competitive edge.
Leading the data science consulting unit composed of 10 data scientists spanning a wide range of skills. Working across a variety of industries to deliver best-in-class algorithms and AI applications to our customers. We help our customers putting their data at use by solving business problems with algorithms and support them building internal capacity in ML and data science. The team also supports the development of our leading edge machine learning platform for doing data science at scale.
Product management for data product, i.e. products based on a machine learning prediction model. Worked in an independent team of 3 focusing on: - product selection wrt. overall product strategy & roadmap - ML model development - deploy model as a microservice
Areas of focus: - Data-driven product development - Large-scale machine learning in distributed environment (Hadoop + Spark) - User behavior analysis and modeling - Key business metrics forecasting
As a digital analyst, I helped companies make a strategic use of the data collected on their digital platforms. I primarily focused on developing analytical capabilities and discovering data-driven insights. My digital marketing expertise covers the main following items: Search Engine Optimization (SEO), digital campaigns, web analytics implementation and tracking including e-commerce, optimization (A/B & Multivariate testing), content personalization, marketing automation, data visualization, social analytics and marketing science (CRM/Customer Analytics). Customers: Vestas, Rockwool, +Halle, name it, AS3, Arla, Grundfos