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Daniel Saunders, Phd Email & Phone Number

Machine Learning Engineer at Spotify
Location: Suffolk County, Massachusetts, United States 7 work roles 3 schools
1 work email found @spotify.com 1 phone found area 844 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email d****@spotify.com
Direct phone (844) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer
Location
Suffolk County, Massachusetts, United States
Company size

Who is Daniel Saunders, Phd? Overview

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Quick answer

Daniel Saunders, Phd is listed as Machine Learning Engineer at Spotify, a company with 1 employees, based in Suffolk County, Massachusetts, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 844, and a matched LinkedIn profile for Daniel Saunders, Phd.

Daniel Saunders, Phd previously worked as Senior Data Scientist, Core Personalization at Wayfair and Data Scientist, Pricing Algorithms at Wayfair. Daniel Saunders, Phd holds Doctor Of Philosophy (Ph.D.), Psychology from Queen'S University.

Company email context

Email format at Spotify

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*@spotify.com
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AeroLeads found 1 current-domain work email signal for Daniel Saunders, Phd. Compare company email patterns before reaching out.

Profile bio

About Daniel Saunders, Phd

I am a machine learning engineer with a track record of applying ML and AI research to industry problems, with a focus on personalization. My scientific background gives me a strong feel for data and evidence, which is combined with years of experience efficiently moving models from prototypes to customer-facing deployments in a modern production environment.

Listed skills include Matlab, Science, Statistics, Research, and 16 others.

Current workplace

Daniel Saunders, Phd's current company

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Spotify
Spotify
Machine Learning Engineer
Regeringsgatan 19, Stockholm, Stockholm County se
Website
Employees
1
AeroLeads page
7 roles · 15 years

Daniel Saunders, Phd work experience

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

Machine Learning Engineer

Current

Stockholm, Stockholm County, SE

Nov 2021 - Present

Senior Data Scientist, Core Personalization

Boston, MA, US

2019 - Nov 2021

Data Scientist, Pricing Algorithms

Boston, MA, US

2016 - 2019 ~3 yrs

Fellow

San Francisco, CA, US

  • Developed a model for predicting the stressful impact of news stories from headline text.
  • Scraped 7000 headlines from fifteen top news websites using BeautifulSoup.
  • Fit bag of words representations to 29 million reactions from the Facebook Graph API using ridge regression, resulting in an engine that scores today’s front pages by their headlines.
  • Optimized hyperparameters to achieve 0.80 R2 prediction of front page reactions.
  • Deployed mychillnews.co, a responsive Web-based app for conscious daily media consumption using AWS, JavaScript, PostgreSQL, Flask and Bootstrap.
Sep 2016 - Nov 2016

Cognition Researcher

Trento, trentino-alto Adige, IT

  • Processed 300 hours of eyetracking data, and integrated with fMRI data. Created a new metric for divergence in gaze based on k-means clustering and mixture of Gaussians.
  • Designed and analyzed behavioural and eyetracking experiments, including creating an innovative dual simultaneous eyetracker apparatus.
  • Supervised two junior colleagues throughout yearlong projects.
2014 - Nov 2016

Research Scientist (Consultant)

San Jose, CA, US

  • Built a behavioural model for a new product prototype, which proved its feasibility to move to the next stage of development.
Apr 2015 - Oct 2015

Vision And Rehabilitation Researcher

  • Built a Web-database architecture using JavaScript, PHP and SQL to present videos to Amazon Mechanical Turk workers and collect 6400 natural-language responses.
  • Developed text scoring algorithm that performed 16% better than established algorithms on our dataset. Successfully patented, US20150216414.
  • Presented at conferences such as Vision Sciences Society and the European Conference on Eye Movements.
2011 - 2014 ~3 yrs
Team & coworkers

Colleagues at Spotify

Other employees you can reach at spotify.com. View company contacts for 1 employees →

3 education records

Daniel Saunders, Phd education

Doctor Of Philosophy (Ph.D.), Psychology

Queen'S University

Master Of Arts (M.A.), Psychology

Queen'S University

Bachelor Of Math, Computer Science

University Of Waterloo
FAQ

Frequently asked questions about Daniel Saunders, Phd

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

What company does Daniel Saunders, Phd work for?

Daniel Saunders, Phd works for Spotify.

What is Daniel Saunders, Phd's role at Spotify?

Daniel Saunders, Phd is listed as Machine Learning Engineer at Spotify.

What is Daniel Saunders, Phd's email address?

AeroLeads has found 1 work email signal at @spotify.com for Daniel Saunders, Phd at Spotify.

What is Daniel Saunders, Phd's phone number?

AeroLeads has found 1 phone signal(s) with area code 844 for Daniel Saunders, Phd at Spotify.

Where is Daniel Saunders, Phd based?

Daniel Saunders, Phd is based in Suffolk County, Massachusetts, United States while working with Spotify.

What companies has Daniel Saunders, Phd worked for?

Daniel Saunders, Phd has worked for Spotify, Wayfair, Insight Data Science, Università Degli Studi Di Trento - University Of Trento, and Rambus.

Who are Daniel Saunders, Phd's colleagues at Spotify?

Daniel Saunders, Phd's colleagues at Spotify include Rachel Jackson, Jan-Paul Jeffrey, Nick Ellsworth, Podcast Ps, and Evan Clippinger.

How can I contact Daniel Saunders, Phd?

You can use AeroLeads to view verified contact signals for Daniel Saunders, Phd at Spotify, including work email, phone, and LinkedIn data when available.

What schools did Daniel Saunders, Phd attend?

Daniel Saunders, Phd holds Doctor Of Philosophy (Ph.D.), Psychology from Queen'S University.

What skills is Daniel Saunders, Phd known for?

Daniel Saunders, Phd is listed with skills including Matlab, Science, Statistics, Research, Data Analysis, Spss, Programming, and Php.

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