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Zach Cox Email & Phone Number
Machine Learning Engineer Intern
at
webAI
1 work email found
@spotify.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Machine Learning Engineer Intern
Location
New York, New York, United States
Company size
Who is Zach Cox? Overview
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Quick answer
Zach Cox is listed as Machine Learning Engineer Intern at webAI, a company with 120 employees, based in New York, New York, United States. AeroLeads shows a work email signal at spotify.com and a matched LinkedIn profile for Zach Cox.
Zach Cox previously worked as Data Scientist II - Advertising at Spotify and Data Scientist I - User Fraud at Spotify. Zach Cox holds Master Of Science - Ms, Computer Science from Columbia University.
Company email context
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{first}@spotify.com
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Profile bio
About Zach Cox
As a data scientist with over five years of experience across diverse domains of music, fraud detection, and advertising, I have honed both the technical expertise and creative thinking necessary to tackle complex problems. My journey began at Berklee College of Music, where my dual major in Music Production / Audio Engineering and Music Business fueled my passion for both art and technology. This interest in music and data eventually led me to General Assembly, where I learned the fundamentals of data science, and set the foundation for my career.From my early days at Elektra Music Group, where I built data ecosystems that identified new talent, to my work in User Fraud and Advertising at Spotify, I’ve always approached problems with curiosity and a data-driven mindset. Whether it was creating daily insights reports for A&R teams, helping identify fraudulent activities across millions of users, or supporting the launch of new features on the Spotify Ads Platform, my focus has been on using data to drive impactful decisions. Throughout my career, I’ve been fortunate to work in various teams, adapting to different domains, and solving unique challenges in each. My technical skill set includes building models, conducting deep analysis, and collaborating with cross-functional teams to deliver insights that matter. While my path from music to data science may be unconventional, it’s this blend of creativity and technical proficiency that drives me to continuously explore new ways to solve problems and create value in any field I work in.Now, I’m diving deeper into my passion for machine learning as I study computer science at Columbia University, intending to transition into a Machine Learning Engineer role. I’m particularly interested in how algorithms work under the hood and how to build systems that can scale while delivering real-world impact. My non-traditional journey has given me a unique perspective on problem-solving—combining creativity, analytical thinking, and a drive to make meaningful contributions to every project I take on.
Listed skills include Music Production, Audio Mixing, Audio Recording, Python, and 30 others.
Current workplace
Zach Cox's current company
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Webai
12 roles
Zach Cox work experience
A career timeline built from the work history available for this profile.
Data Scientist Ii - Advertising
- Refactored a hierarchical clustering pipeline for segmenting advertiser spending habits, improving training speed by 6x and optimizing cluster count identification with agglomerative clustering
- Designed an anomaly detection system for fraudulent advertisers, leading to account suspension rules with Ads Payments team and a 23% reduction in uncollected revenue
- Led an opportunity sizing project to research new market potential leveraging historical campaign metrics and benchmarks, guiding strategy leads to expand into three new markets
- Supported the launch of a new ad campaign objective by developing KPIs, feature launch analyses, monitoring Tableau dashboard, and recommendations to optimize production ML model increasing revenue by 14%
- Developed a logistic regression model to identify fraudulent advertisers with 88% accuracy
- Mentored and provided feedback for four Jr. Data Scientists/Analysts with weekly/monthly 1:1s
Jan 2023 - Jun 2024
Data Scientist I - User Fraud
- Created detection logic to exclude 10,000+ fraudulent tracks from Spotify editorial music playlists
- Applied heuristic filtering to exclude fraudulent streams from Spotify regional popularity chart calculations
- Conducted 20+ high-profile investigations into fraudulent artists and major label market share analysis
- Revamped entire data infrastructure with 30+ BigQuery custom data workflows to detect content fraud
Mar 2021 - Dec 2022
Associate Data Scientist - User Fraud
Dec 2019 - Mar 2021
Fraud Operations And Data Analyst - User Fraud
Aug 2019 - Dec 2019
A&R - Research Analyst
- Established a data analytics department from inception, developing key processes to enable data-driven decision-making and directly contributed (via data insights) to signing three new artists within six months
- Built end-to-end data workflows to streamline data collection/analysis, crafting actionable insights for artist discovery
- Created custom analytics dashboards and reports delivering daily insights into artist performance metrics, aiding in strategic decision-making and discovery processes for 12 key stakeholders in A&R and leadership teams
- Instituted a data culture within the A&R team, integrating data insights to enhance the talent-scouting process
Oct 2018 - Aug 2019
Data Science Immersive
- Participant in 12-week full-time career accelerator
- Created predictive models by learning to wrangle, analyze, and visualize data
- Python skills include Pandas, NumPy, NLTK, Scrapy, StatsModels, Keras, and TensorFlow
- Utilized Mac, Linux, Jupyter Notebook, AWS EC2, and Databricks/Spark environments
- Performed sentiment analysis on 400,000 tweets via NLP with LSTM + CNN neural network with 95.2% accuracy for capstone
Apr 2018 - Aug 2018
Berklee Popular Music Institute
- Selected as 1 of 20 out of 80 applicants to develop 7 artists to play Summer 2018 festivals
- Finalized contracts and organized social media campaigns with artists
- Polished the stage performance of artists in preparation for festivals
- Participated in 2 festival case studies for promoter Danny Wimmer Presents as lead data analyst
Aug 2017 - Jul 2018
Berklee Music Business Club Board Treasurer
- Organized budgets for 3 school-sponsored events and 2 educational trips
- Served in leadership role to educate music business principles in weekly meetings
- Coordinated a live music fundraiser profiting $400+ used for future club events
- Awarded Most Improved Club by Student Activities Committee
May 2017 - May 2018
Berklee Student Entrepreneurship Association Member
- Attended biweekly meetings to assist others in personal entrepreneurial projects
- Communicated with founders of various startups for entrepreneurial advice
- Accepted to attend the club’s yearly New York trip to visit startups of various industries
- Coordinated planning for Berklee’s first TedX scheduled for Fall 2018
Apr 2017 - May 2018
Studio Assistant, Studio Operations
- Mentored students in equipment utilization and recording studio troubleshooting
- Upheld the high standards and quality expectations of Berklee’s 24 recording studios
- Processed and maintained records for the rental of studio equipment to students
- Operated as lead recording engineer for over 10 faculty member recording sessions
May 2015 - May 2018
Teaching Assistant
- Teaching assistant for MIT’s “Developing Tech: VR/AR Immersive” Spring 2018 class
- Marked homework assignments and performed logistical duties for Prof. Ken Zolot
- Participant in MIT’s “Developing Tech: VR/AR Immersive” Fall 2017 class
Sep 2017 - May 2018
3 education records
Zach Cox education
Master Of Science - Ms, Computer Science
Columbia University
Data Science Immersive
General Assembly
Bachelor’S Degree, Dual Major: Music, Production, & Engineering And Music Business/Management
Berklee College Of Music
FAQ
Frequently asked questions about Zach Cox
Quick answers generated from the profile data available on this page.
What company does Zach Cox work for?
Zach Cox works for webAI.
What is Zach Cox's role at webAI?
Zach Cox is listed as Machine Learning Engineer Intern at webAI.
What is Zach Cox's email address?
AeroLeads has found 1 work email signal at @spotify.com for Zach Cox at webAI.
Where is Zach Cox based?
Zach Cox is based in New York, New York, United States while working with webAI.
What companies has Zach Cox worked for?
Zach Cox has worked for Webai, Spotify, Elektra Music Group, General Assembly, and Berklee College Of Music.
How can I contact Zach Cox?
You can use AeroLeads to view verified contact signals for Zach Cox at webAI, including work email, phone, and LinkedIn data when available.
What schools did Zach Cox attend?
Zach Cox holds Master Of Science - Ms, Computer Science from Columbia University.
What skills is Zach Cox known for?
Zach Cox is listed with skills including Music Production, Audio Mixing, Audio Recording, Python, Data Science, Statistical Data Analysis, Music Industry, and Social Media.
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