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Igor Raush Email & Phone Number

Machine Learning Engineer / Data Scientist at Waveye
Location: Denver Metropolitan Area, United States, United States 4 work roles 1 school
2 work emails found @aarki.com 4 phones found area 858 and 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 4 phones

Work email i****@aarki.com
Direct phone (858) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer / Data Scientist
Location
Denver Metropolitan Area, United States, United States

Who is Igor Raush? Overview

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Quick answer

Igor Raush is listed as Machine Learning Engineer / Data Scientist at Waveye, based in Denver Metropolitan Area, United States, United States. AeroLeads shows a work email signal at aarki.com, phone signal with area code 858, 650, and a matched LinkedIn profile for Igor Raush.

Igor Raush previously worked as Principal Machine Learning Engineer at Waveye and Director of Engineering, Data Science at Skillz Inc.. Igor Raush holds Bachelor Of Science (Bs), Engineering Physics from University Of California, Berkeley.

Company email context

Email format at Waveye

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{first}@aarki.com
89% confidence

AeroLeads found 2 current-domain work email signals for Igor Raush. Compare company email patterns before reaching out.

Profile bio

About Igor Raush

Results-driven ML engineer and data scientist with 10+ years of experience building end-to-end ML pipelines, delivering ML-centric products, and managing globally distributed cross-functional teams

Listed skills include Python, Postgresql, Java, Mysql, and 13 others.

Current workplace

Igor Raush's current company

Company context helps verify the profile and gives searchers a useful next step.

Waveye
Waveye
Machine Learning Engineer / Data Scientist
AeroLeads page
4 roles

Igor Raush work experience

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

Principal Machine Learning Engineer

Current

Palo Alto, California, US

Aug 2023 - Present

Director Of Engineering, Data Science

Las Vegas, NV, US

  • Led a 9-person remote team of senior- and lead-level machine learning engineers
  • Improved team efficiency by hiring dedicated MLOps engineers; functionally managed a product analyst team to support testing and adoption of machine learning features
  • Supported the migration of Skillz advertising spend onto Aarki’s DSP; took 35% of overall DSP spend in-house, up from 8% at the time of acquisition
  • Established a process for hypothesis-based machine learning feature development, with intermediate result review and go/no-go checkpoints
Nov 2021 - May 2023

Lead Data Scientist / Data Scientist

San Francisco, California, US

  • Developed machine learning engine for impression value estimation and bid optimization in real-time ad auctions, generating over 2.5B bids per day
  • Improved user response prediction models by engineering device-level features; resulting model lowered campaign CPIs by 50%
  • Developed a first-price auction strategy and bid optimization layer; by 2020, 90% of auctions were first-price
  • Developed and deployed an end-to-end machine learning pipeline on-premises; deployed models to over 1,000 bidderservers across five data centers, ensuring auditable predictions and sub-10ms latencies
  • Integrated model building into campaign management UI; saved 2 hours of DS/analytics time per day, and reducedcampaign launch time by 3 days on average
  • Developed models for buying limited ad-tracking traffic ahead of Apple’s ATT release; 90% of iOS campaigns werebidding on SKAdNetwork-enabled traffic within 90 days of ATT release
Mar 2017 - Nov 2021

Software Engineer / Software Engineer Intern

San Francisco, California, US

  • Designed and executed a ground-up rewrite of Aarki’s in-house creative studio, a web-based editor for designing interactive rich-media HTML5 creatives, using state-of-the-art Javascript MVC frameworks and web APIs.
  • Added support for constrained multivariate creative; enabled 3x ROI improvement for re-engagement campaigns through user-level personalization of ad creatives
  • Developed a statistical method for detecting and filtering accidental ad clicks based on coordinate click logs; implemented heatmap visualizations of creative clicks enabling quick detection of creative rendering issues
  • Designed and implemented novel data structures and algorithms for storing, updating, and querying histograms of two-dimensional data
May 2011 - Mar 2017
1 education record

Igor Raush education

  • University Of California, Berkeley
    University Of California, Berkeley
    Engineering Physics
FAQ

Frequently asked questions about Igor Raush

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

What company does Igor Raush work for?

Igor Raush works for Waveye.

What is Igor Raush's role at Waveye?

Igor Raush is listed as Machine Learning Engineer / Data Scientist at Waveye.

What is Igor Raush's email address?

AeroLeads has found 2 work email signals at @aarki.com for Igor Raush at Waveye.

What is Igor Raush's phone number?

AeroLeads has found 4 phone signal(s) with area code 858, 650 for Igor Raush at Waveye.

Where is Igor Raush based?

Igor Raush is based in Denver Metropolitan Area, United States, United States while working with Waveye.

What companies has Igor Raush worked for?

Igor Raush has worked for Waveye, Skillz Inc., and Aarki.

How can I contact Igor Raush?

You can use AeroLeads to view verified contact signals for Igor Raush at Waveye, including work email, phone, and LinkedIn data when available.

What schools did Igor Raush attend?

Igor Raush holds Bachelor Of Science (Bs), Engineering Physics from University Of California, Berkeley.

What skills is Igor Raush known for?

Igor Raush is listed with skills including Python, Postgresql, Java, Mysql, Php, C++, Web Development, and Javascript.

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