Asi Messica &
Talia Tron
Roundtables – Product Manager, Data Scientist, and Developer: Friends or Foes?
Fiverr
Asi Messica
&
Talia Tron
Roundtables – Product Manager, Data Scientist, and Developer: Friends or Foes?
Fiverr
Bio Asi Messica
Asi Messica is Head of Data Science (Marketplace) at Fiverr.com. Before joining Fiverr, she held various product and development management positions at SAP, RSA and more. She pursues her Ph.D. in Software and Information Systems Engineering at the Ben-Gurion University under the supervision of Prof. Lior Rokach.
Asi holds a B.Sc. in Physics and Computer Science, and MSc in Physics from the Tel Aviv University, as well as an MBA in Marketing from Bar-Ilan University. Her professional interests include machine learning, recommender systems, and information retrieval.
Bio Talia Tron
Dr. Talia Tron is a senior data scientist & an innovation catalyst at Intuit, a leading fintech company, where she develops ML\AI solutions to detect threats and fraud. She holds a PhD in computational neuroscience from the Hebrew University, where she developed automatic tools for analyzing facial expressions and motor behavior in schizophrenia. In addition to her work at Intuit, she work in collaboration with Shiba innovation center – using ML to explore & predict treatment outcomes and develop medical decision support systems.
Bio Asi Messica
Asi Messica is Head of Data Science (Marketplace) at Fiverr.com. Before joining Fiverr, she held various product and development management positions at SAP, RSA and more. She pursues her Ph.D. in Software and Information Systems Engineering at the Ben-Gurion University under the supervision of Prof. Lior Rokach.
Asi holds a B.Sc. in Physics and Computer Science, and MSc in Physics from the Tel Aviv University, as well as an MBA in Marketing from Bar-Ilan University. Her professional interests include machine learning, recommender systems, and information retrieval.
Bio Talia Tron
Dr. Talia Tron is a senior data scientist & an innovation catalyst at Intuit, a leading fintech company, where she develops ML\AI solutions to detect threats and fraud. She holds a PhD in computational neuroscience from the Hebrew University, where she developed automatic tools for analyzing facial expressions and motor behavior in schizophrenia. In addition to her work at Intuit, she work in collaboration with Shiba innovation center – using ML to explore & predict treatment outcomes and develop medical decision support systems.
Abstract
Data Science project is different than other software development projects in many aspects. If projects are not managed correctly, these fundamental differences might cause misunderstanding and conflicts between the teams and disable a successful model delivery.
In this round table, I’ll present the evolving data science project framework which we are using at Fiverr.com, covering the different project phases including ideation, research, development, testing, deployment, and monitoring. For each phase, I’ll present the stakeholders and deliveries. We will discuss, how the process is handled in different companies, key challenges, and possible solutions as well as new ideas.
Abstract
Product Manager, Data Scientist, and Developer: Friends or Foes?
Data Science project is different than other software development projects in many aspects. If projects are not managed correctly, these fundamental differences might cause misunderstanding and conflicts between the teams and disable a successful model delivery.
In this round table, I’ll present the evolving data science project framework which we are using at Fiverr.com, covering the different project phases including ideation, research, development, testing, deployment, and monitoring. For each phase, I’ll present the stakeholders and deliveries. We will discuss, how the process is handled in different companies, key challenges, and possible solutions as well as new ideas.
Discussion Points
- Who initiate data science projects in your organization?
- What are the main project phases? who are the stakeholders in the organization for each phase? what is the associated deliverable?
- What is the process of delivering a new model to production? or update an existing model?
- Who develop the production code in your organization? pros and cons?
- How do you monitor the correctness of your model in production?
Discussion Points
- Who initiate data science projects in your organization?
- What are the main project phases? who are the stakeholders in the organization for each phase? what is the associated deliverable?
- What is the process of delivering a new model to production? or update an existing model?
- Who develop the production code in your organization? pros and cons?
- How do you monitor the correctness of your model in production?
