Jampp
The Principal Data Scientist – Deep Learning at Jampp leads the transformation of the machine learning platform by defining and driving the technical strategy for deep learning and embedding-based modeling architectures. This role involves designing advanced deep neural network architectures for prediction and optimization in programmatic advertising while establishing best practices and providing technical mentorship to the Data Science team. The position requires hands-on development of scalable models that directly influence real-time bidding and campaign optimization decisions.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2013
Jampp is a programmatic platform that helps mobile apps grow by leveraging machine learning to unlock mobile marketing and drive incremental ROI. It provides performance-driven user acquisition and re-engagement solutions across industries such as gaming, commerce, financial services and agencies. Jampp offers cross-screen products like Jampp CTV and an AI-powered tech stack called Juno to deliver measurable growth. The company operates as part of the Affle group.
Affle Buys Mobile DSP Jampp As Market Volatility Spurs Even More Mobile Ad Tech M&A
Jun 10, 2021
Maximizing Efficiency for Bidding System Using AWS Graviton–Based Instances with Jampp
May 25, 2024
Mobile App Marketing Platform Jampp Raises $7M Series A to Accelerate Growth
Feb 25, 2015
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Jampp.
Jampp didn’t post a salary, so this is our estimate from similar listings.
64% above the average for this role
Social Distancing With Friends: Jampp Co-Founder Diego Meller
Apr 20, 2020
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