Lin Jiang Email & Phone Number
@spotify.com
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Who is Lin Jiang? Overview
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Lin Jiang is listed as Senior Data Scientist @ Spotify at Spotify, a with 1 employees, based in New York, United States. AeroLeads shows a work email signal at spotify.com and a matched LinkedIn profile for Lin Jiang.
Lin Jiang previously worked as Senior Data Scientist - User Fraud at Spotify and Data Scientist - User Fraud at Spotify. Lin Jiang holds Master'S Degree, Data Science from Columbia University.
Email format at Spotify
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AeroLeads found 1 current-domain work email signal for Lin Jiang. Compare company email patterns before reaching out.
About Lin Jiang
Data Science and Machine Learning Enthusiast with a demonstrated history of working in the Internet industrySkilled in Machine Learning, Python, SQL, Tableau, Statistics, Experimentation, Data Analytics & VisualizationExperienced in Prediction/NLP/Forecasting/Optimization
Listed skills include Mathematics, Leadership, Neural Networks, Scikit Learn, and 45 others.
Lin Jiang's current company
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Lin Jiang work experience
A career timeline built from the work history available for this profile.
Data Scientist - User Fraud
Current• Researched fraud signals and implemented detection rules to identify suspicious user behaviors by using Python, BigQuery SQL, and Scala • Developed new templates and graphs in Python Fraud Library to improve the speed and accuracy of the fraud-cleaning process• Improved Fraud Type Separation to accurately classify artificial user and account takeover• Investigated cohorts and invented metrics, visualizations, and processes to provide fraud insights and reduce fraud-cleaning gaps
Data Scientist Ii
Data Scientist
• Developed Survival Tree Model to predict connection-level CVR to tackle censored data and improved PR AUC by 36%• Investigated ZG home sales market share decline, presented actionable insights on connection delivery distribution and partner performance, and owned monthly transaction updates for senior leadership• Improved and consolidated time-scaled CVR and percent to market metrics to accurately evaluate partner performance• Invented new methodology to estimate “flex” revenue to monitor blended monetization for business health
Data Science (Nlp) Intern
• Worked on Natural Language Processing (NLP)• Applied TF-IDF, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA) to classify articles into industry topics• Researched Topic Modeling techniques and NLP algorithms• Performed Sentiment Analysis using BERT from Hugging Face
Senior Business Intelligence Analyst
• Worked on Analytics Solutions• Developed a highly interactive Pre/Post tool to provide insights on product performance with 90% key metrics coverage• Initiated and managed Data Governance project to focus on developing an interface to refine and maintain data definition and providing business insights for content within all departments at Wayfair• Took ownership of team weekly sprints, project design, and strategic project planning
Business Intelligence Analyst
• Worked in the Web Analytics Team under Business Intelligence Department• Initialized and built Executive Level Performance Dashboards for Wayfair Supplier Extranet which helped suppliers gain insights on their product performance in terms of sales, operations and product competitiveness• Created Wayfair Analytics Reporting Platform Usage Reporting to monitor adoption rate for our self-service tools
Business Intelligence Intern
• Worked in the Operations Team under Business Intelligence Department• Reported using OLAP cube and multidimensional expressions (MDX) in Visual Studio• Designed data visualization dashboards by using Tableau• Perfected project tracker cube, added metrics & filters for better reporting• Updated staff count on business account management (BAM) dashboard in Tableau
Data Analyst Intern
• Analyzed data and promoted keywords through App Annie and Google Analytics• Increased download rate 20% by evaluating app performance after adding keywords
Colleagues at Spotify
Other employees you can reach at spotify.com. View company contacts for 1 employees →
Ellen Pai
Colleague at SpotifyNew York, United States
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JS
Jenny Sway
Colleague at SpotifyTampa, Florida, United States
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SS
Steven Salazar
Colleague at SpotifyBogota, D.C., Capital District, Colombia
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OJ
Oliver Johnston
Colleague at SpotifyRiverside, California, United States
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TK
Tiffany Kim
Colleague at SpotifyNew York, United States
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AK
Anna Khazan
Colleague at SpotifyUnited States
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SC
Sarah Casper
Colleague at SpotifyGreater Chicago Area, United States
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AC
Andrew Cheong
Colleague at SpotifyNew York City Metropolitan Area, United States
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SS
Sheyla Sousa
Colleague at SpotifyBrazil
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DW
Dylan Wilder Patterson
Colleague at SpotifyNew York, United States
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Lin Jiang education
Master'S Degree, Data Science
Bachelor Of Science - Bs, Industrial Engineering
Bachelor Of Science - Bs, Mathematical Sciences
Frequently asked questions about Lin Jiang
Quick answers generated from the profile data available on this page.
What company does Lin Jiang work for?
Lin Jiang works for Spotify.
What is Lin Jiang's role at Spotify?
Lin Jiang is listed as Senior Data Scientist @ Spotify at Spotify.
What is Lin Jiang's email address?
AeroLeads has found 1 work email signal at @spotify.com for Lin Jiang at Spotify.
Where is Lin Jiang based?
Lin Jiang is based in New York, United States while working with Spotify.
What companies has Lin Jiang worked for?
Lin Jiang has worked for Spotify, Zillow, Altair, Wayfair, and Worcester Polytechnic Institute.
Who are Lin Jiang's colleagues at Spotify?
Lin Jiang's colleagues at Spotify include Ellen Pai, Jenny Sway, Steven Salazar, Oliver Johnston, and Tiffany Kim.
How can I contact Lin Jiang?
You can use AeroLeads to view verified contact signals for Lin Jiang at Spotify, including work email, phone, and LinkedIn data when available.
What schools did Lin Jiang attend?
Lin Jiang holds Master'S Degree, Data Science from Columbia University.
What skills is Lin Jiang known for?
Lin Jiang is listed with skills including Mathematics, Leadership, Neural Networks, Scikit Learn, R, Pandas, Data Science, and Algorithms.
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