Libby Kosolapov

Stampli
Signal over Noise: Decoding the Modern Data Science Career Path

Abstract

Most job seekers are trying to beat an algorithm they don’t understand. It’s time to stop guessing what hiring managers want and start decoding the hidden variables that actually trigger an offer. As the Israeli tech ecosystem shifts from traditional data science to specialized Generative AI and agentic systems, the path to a top-tier role has changed. Landing your next position is about optimizing your professional signal in a market saturated with noise.

Join us for a high-level roundtable as we deconstruct:

The Visibility Algorithm:
High-impact strategies for LinkedIn and CV optimization that bypass the “noise” and align with the way recruiters actually filter for talent today.

Decoding the Catch-22:
How to move from static portfolios to “Proof of Production” – breaking the cycle of needing experience to get experience by engineering projects that mimic real-world ROI and production constraints.

Strategic Feature Engineering:
How to map non-linear backgrounds, navigate career breaks, and translate a professional pivot into the high-impact roles of the current AI era.

We’re moving beyond generic tips to focus on the metrics and strategic moves that define successful hires in today’s market.

Bio

Libby is a Data Scientist with 5 years of experience ranging from classic ML and Deep Learning to LLMs and Agentic AI, her background is grounded in Biochemistry, including a Ph.D. from the Weizmann Institute.
She also volunteers as a career mentor and a technical lead for the 30-hour projects at Baot

Agenda

09:00

Reception & gathering

09:45

Opening remarks by WiDS TLV ambassadors

10:00

Keynote session: Prof. Michal Rosen Zvi

10:30

Lightning talks session

12:00

Lunch & poster session

13:00

Roundtable session & poster session

11:10

Lightning talks session

13:50

Roundtable closing

14:00

Talk by Hila Paz

14:20

Talk by Dr. Moran Mizrahi

14:45

Closing remarks

15:00

End