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Mohamed Sordo Email & Phone Number

Principal Scientist at Pandora at Pandora
Location: San Francisco Bay Area, United States 11 work roles 3 schools
1 work email found @pandora.com 1 phone found area 510 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email m****@pandora.com
Direct phone (510) ***-****
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Current company
Role
Principal Scientist at Pandora
Location
San Francisco Bay Area, United States
Company size

Who is Mohamed Sordo? Overview

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Quick answer

Mohamed Sordo is listed as Principal Scientist at Pandora at Pandora, a with 1544 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at pandora.com, phone signal with area code 510, and a matched LinkedIn profile for Mohamed Sordo.

Mohamed Sordo previously worked as Principal Scientist at Pandora and Staff Scientist at Pandora. Mohamed Sordo holds Doctor Of Philosophy (Phd), Information, Communication And Audiovisual Media Technologies from Universitat Pompeu Fabra.

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Email format at Pandora

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{first_initial}{last}@pandora.com
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Profile bio

About Mohamed Sordo

* Scientist, data miner, software engineer, music technologist. * PhD in Computer Science from Pompeu Fabra University (2012).* Expertise: recommender systems, machine learning, natural language processing, data mining

Listed skills include Artificial Intelligence, Machine Learning, Data Mining, Music Information Retrieval, and 24 others.

Current workplace

Mohamed Sordo's current company

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Pandora
Pandora
Principal Scientist at Pandora
California, United States
Website
Employees
1544
AeroLeads page
11 roles

Mohamed Sordo work experience

A career timeline built from the work history available for this profile.

Role listed

California, United States

Principal Scientist

Current

Oakland, Ca, Us

Feb 2021 - Present

Staff Scientist

Oakland, Ca, Us

Lead scientist for the For You screen personalization in Pandora, the portal to Pandora's catalog of music and podcasts.- Working on initiatives such as Top Module selection and For You personalization for new registered users.- Collaborating and coordinating with Engineering, Product and Design.- Mentoring a group of scientists working on the For You personalization.Ideated and co-developed Pandora Playback, a personalized end-of-the year retrospective to Pandora listeners.- From an internal personal hackathon project to a fully fledged product thanks to a tiger team collaboration with back-end and front-end Engineering, Product, Design and Marketing.- Designed and implemented the data pipelines for the user stats, as well as a novel, personalized timeline aggregation of listening.- Designed and implemented two personalized playlists for Pandora listeners (What You Loved and More To Love).

Oct 2018 - Jan 2021

Senior Data Scientist

Oakland, Ca, Us

- Science lead for metadata representation of content at Pandora. Driven forward overall descriptive metadata strategy which impacts initiatives such as search, voice and podcasts.- Devised, designed and implemented personalized playlists for Pandora premium listeners. From ideation to the implementation of the data pipeline, to production ready.- Designed and implemented Knowledge-based recommendation strategies for the key strategic initiative of Podcasts.- Stepped up to help engineering develop a web tool for music analysts, which enables curators create better listening experiences. Responsibilities included learning AngularJS in a very short period of time and implementing the front-end part of the tool. - Mentored fellow scientists and science interns. - Improved technical skills: Scala/Spark, Hive/Presto, PyData stack- Acquired technical skills: AngularJS

Sep 2017 - Sep 2018

Data Scientist

Oakland, Ca, Us

- Designed and implemented playlist recommendation systems at scale, helping millions of Pandora listeners discover new music. - Part of the team that reshaped Pandora's music catalog for the launch and continued growth of Pandora Premium, including content matching, content grouping and automation of curation processes. - Leading the design and implementation of the Knowledge-base representation model for Pandora's music catalog, which helps boosting Pandora’s music classification and recommendation systems. - Developed internal tools that bolster efficiency and productivity of fellow scientists, by enabling them to prototype and iterate quickly. - Acquired and/or improved technical skills: Scala/Spark/Hive, PyData stack.

Feb 2016 - Sep 2017

Post-Doc Researcher

Coral Gables, Fl, Us

- Extracting knowledge from unstructured data, for music recommendation, artist similarity, etc.􏰃- Analyzing and modeling the evolution of research communities.

Jan 2015 - Jan 2016

Postdoctoral Researcher

Barcelona, Catalonia, Es

- Developed methods to extract semantic information from unstructured data. - Lead the team in charge of the Arab-Andalusian music, as part of the EU funded project CompMusic.- Tutorial on music automatic tagging at ISMIR 2013.- Co-organized the Music Hack Day, Barcelona (one of the most successful and long-lived hackathons around music technology) from 2010 to 2014.

Mar 2012 - Dec 2014

Assistant Professor

Barcelona, Barcelona, Es

- Taught advanced topics on audio and music processing to MSc students in Sound and Music Computing; and programming and graph theory to students of the Bachelor's degree in Computer Science.- Supervised the final degree project of two Computer Science students.

Sep 2012 - Jul 2014

Visiting Researcher

Porto, Pt

Research stay, as a requirement for obtaining the European mention in the Doctorate studies.The research stay was funded by the Ministerio de Educación in Spain.Applied research tasks:􏰃 - Designed and developed a new method for uncovering semantic facets of music tags.􏰃 - Helped to build a hybrid music recommender system that combines usage and audio content.

Mar 2010 - Jun 2010

Internship

European independent Software Testing and Quality Assuranceservices company. Internship, collective agreement with Pompeu Fabra University.􏰃 - As part of a development team, I worked on the second version of a proprietary software tool that performed system testing of software from external companies.

Dec 2005 - Jun 2006
Team & coworkers

Colleagues at Pandora

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3 education records

Mohamed Sordo education

Doctor Of Philosophy (Phd), Information, Communication And Audiovisual Media Technologies

Universitat Pompeu Fabra

Master'S Degree, Information, Communication And Audiovisual Media Technologies

Universitat Pompeu Fabra

Engineer'S Degree, Computer Science

Universitat Pompeu Fabra
FAQ

Frequently asked questions about Mohamed Sordo

Quick answers generated from the profile data available on this page.

What company does Mohamed Sordo work for?

Mohamed Sordo works for Pandora.

What is Mohamed Sordo's role at Pandora?

Mohamed Sordo is listed as Principal Scientist at Pandora at Pandora.

What is Mohamed Sordo's email address?

AeroLeads has found 1 work email signal at @pandora.com for Mohamed Sordo at Pandora.

What is Mohamed Sordo's phone number?

AeroLeads has found 1 phone signal(s) with area code 510 for Mohamed Sordo at Pandora.

Where is Mohamed Sordo based?

Mohamed Sordo is based in San Francisco Bay Area, United States while working with Pandora.

What companies has Mohamed Sordo worked for?

Mohamed Sordo has worked for Pandora, University Of Miami, Music Technology Group, Universitat Pompeu Fabra - Upf, and Inesc Porto.

Who are Mohamed Sordo's colleagues at Pandora?

Mohamed Sordo's colleagues at Pandora include Agustin Garcia, Anna Harutyunyan, Gemma Wong, Charlotte Kirby, and Jakkrit Phong-Ukhotkul.

How can I contact Mohamed Sordo?

You can use AeroLeads to view verified contact signals for Mohamed Sordo at Pandora, including work email, phone, and LinkedIn data when available.

What schools did Mohamed Sordo attend?

Mohamed Sordo holds Doctor Of Philosophy (Phd), Information, Communication And Audiovisual Media Technologies from Universitat Pompeu Fabra.

What skills is Mohamed Sordo known for?

Mohamed Sordo is listed with skills including Artificial Intelligence, Machine Learning, Data Mining, Music Information Retrieval, Recommender Systems, Natural Language Processing, Information Retrieval, and Python.

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