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Scott V Burger Curriculum Vitae

Employment History

Head of Engineering Analytics - Qualtrics (Oct 2019 - present)

Leading critical operational metrics of 50+ different KPIs visible to Engineering leadership and C-Suite. 40% of all engineers in the company have interacted with Eng Analtyics data products and 35% of the entire company overall. For our most recent quarterly review, a majority of users were saved a great deal of time and had a great deal of decision making process influenced by our Tableau dashboards, Redshift tables, and Airflow DAGs.

Managed mission-critical operation of operational review metrics used in realtion to Jira data. Major investigations and realtime reporting on customer pulses, deep dives on product quality feedback, and analyses of backlog management across all Engineering teams.

Investigated OKR adoption practices and made a company-wide change for OKRs to be more tightly linked via manager-direct objective-result pair linking.

Identified 140 brands to be targeted by the Qualtrics Preview Program with a net revenue lift of $14M+.

Led an investigation into pre- and post-pandemic Engineering efficiency metrics and found that Qualtrics transitioned with no statistically significant impact on developer productivity. Led initiatives on data governance to establish the adoption of Alation and data documenation best practice updates.

Led an initiative to bring analytics team across the company together for informal tech talks.

Senior Marking Analyst - Tableau Software (Feb 2018 - Oct 2019)

Led a team of data scientists and data engineers to build a multi-touch attribution model in Google Bigquery and R. Owned and maintained data sources critical to the Marketing organization’s daily operation. My team’s projects had visibility to executives including user journey path analysis, realtime dashboarding for major product launches, and predictive customer lifetime value models. Handled data science interviewing, onboarding, and intern transitions to full time employment.

Data Scientist - Microsoft (May 2014 - Jan 2018)

Worked across many teams including Visual Studio Team Services, Azure, Engineering Customer Interactions, Data & Decision Sciences. Developed data engineering pipelines in Kusto, Dax, and SSIS to provide high-visibility insights in PowerBI to stakeholders in numerous product organizations including Legal, Xbox, and Support.

Led trainings on data science and analytics best practices with R, SPSS, SAS, and various data visualization tools.

Visual Studio Team Services - Data engineering development and analyses of user behavior in the Kusto product, seasonality of KPIs, anomaly detection, mapping user journeys, visualization, licensing investigations, and documentation of key business insights.

Azure Identity FastTrack Analytics Team - Data engineering workflow management and high-visibility PowerBI dashboard development.

Engineering Customer Interactions and IT - Worked with numerous groups within the IT space from customer support to hardware. With customer support, we designed many A/B test scenarios to enhance statistical validity of the KPIs measured. With hardware teams, we looked at usage metrics to build a customer segmentation model using big data on Microsoft's big data COSMOS platform.

Data & Decision Sciences Group - Led trainings on data science and analytics best practices. Provided cross-product org insightswith R, SAS, Python, and JMP.Built models to detect at-risk product keys & global piracy patterns and built regime-changing models to predict code signing time for large builds.

Education

  • MSc Astrophysics, University College London, 2012
  • BS Physics, Western Washington University, 2010

Publications

Introductory text book on the basics of machine learning with the R language. Topic covered include regression, classification, neural networks, tree-based models, and deep dives into common machine learning packages that are used with R. Used in many univeristy courses on statistics.

Technical Skills

Alation, Apache Airflow, Apache Superset, AWS Athena, AWS Aurora, AWS Redshift, Amplitude, Git, Google Analytics, Google BigQuery, Jira, LATEX, PowerBI, Python, R, Splunk, SQL, Tableau, Testrail

Invited Talks

Engineering Analytics at Qualtrics - (June 2024 planned release) Interview with Abi Noda for the Engineering Enablement Podcast. Topics covered included career journey, challenges with OKR data, cross-department analytics communications, Jira data strategy, and many others.

The Data Science of Roguelikes - Invited talk for the 2023 Roguelike Celebration. Talk covered videogame data sources, API integrations with Steam, and analyses of the genre landscape for roguelike games. Conclusions were that Steam has the most robust dataset, the state of the genre is growing, and that similar game recommendations can be found via game tag cosine similarity scores.

Computer Chess & Data Science - Invited talk for the Pickford Film Center in Bellingham, WA 2021. Talk covered early chess history, digital computer game history, the minimax algorithm, alpha-beta pruning, computer chess tournaments, and human-computer chess competitions.

Attribution Modelling 101 - Invited talk for the Dynamic Talks series in Redmond, WA 2019. Topic covered include: customer journey analytics, intro to BigQuery, table sharding and hit-level user data, attribution models in R, model outputs and reccomendations.

The Data Science of Board Games - Penny Arcade Expo, Seattle 2017. Board games have seen an unprecedented boom in their popularity recently. In this talk ,I walked through data on over 250,000 board games from the beginning of civilization to modern times to chart the trends, looking at insights about ratings, balance, and guilty pleasures hidden in the data to shed light on this booming sector of gaming.

User-Based Reviews and the PC Gaming Ecosytem: What It Takes to Survive in the Videogame World of 2015 - The Data Science Conference, Chicago 2015. At this conference I detailed a method for quantifying emotions and polarity of text-based, user-submitted reviews through the PC gaming digital distribution service, Steam. In my work, I showed that the current algorithms in use are not well suited for aggregating user emotion, as the algorithm is highly dictionary-dependant for word categorization. However, word polarity aggregation appeared to be a worthwhile metric to investigate.

Other Projects

FAA Private Pilot's License - 4826074 - In December 2023, I passed my Cessna 152 checkride to achieve my VFR private pilot's license.

SVBurger.com - Data science and analytics blog maintained since 2017.