Data Science Manager - Dow Jones

I am a versatile data science professional blending academic rigor with real-world 80/20 pragmatism gained across diverse sectors. I am also proficient at leading small teams, managing projects, and handling multiple stakeholders in a structured global corporate setting. I have a rich international experience: I spent most of my Ph.D. at the NASA Goddard Space Flight Center, Greenbelt, MD, USA as a research contractor where I contributed to the understanding of pulsars (here there are a press release and an outreach video about my Ph.D. research: https://www.nasa.gov/feature/goddard/2018/pulsar-in-a-box-reveals-surprising-picture-of-a-neutron-star-s-surroundings). After the completion of my Ph.D., I decided to solve problems with a more immediate impact and I moved to an industry job. As a data science consultant in Accenture, I worked on many projects focusing on themes like the forecasting of time series, propensity modeling, clustering and gis data. I had exposure to the many souls of the project like changing the business model, functional analysis and algorithm industrialization on big data ecosystems. I have been part of and lead cross-function teams, often organizing the work following agile methodologies. The 80/20 rule and the concept of MVP are always in my mind when I plan a project. The consulting work was also a great viewpoint on the company dynamics and organizational structure. In Amazon, I have the opportunity to work with very rich datasets to provide our advertisers with powerful insights that so far contributed to +$15M ads sales. In these years, I largely enriched my knowledge portfolio, mainly with causality, NLP, propensity modeling and Markov chain projects. I found exciting learning from marketing literature: digital marketing is an amazing field to explore! In this environment, I also managed projects, programs and tool developments, led escalations and learned how to move in a strongly structured corporate environment.

Sessions

• Enhancing User Engagement Through Personalized Recommendation at Dow Jones