Karina Bunyik
Senior Data Science Manager
Kerhonkson,New York
Summary
Data Science professional with 12+ years of data science technical and 4+ years of management experience. Passionate about leading data strategies for product development, growing data scientists in cross-functional teams, establishing data culture, and creating models for business impact.
Overview
14
14
years of professional experience
Work History
Senior Data Science Manager
Ontra
11.2024 - Current
- Managing data scientists from senior to principal
- Grew the data science team from 1 person to 4
- Fostering an ownership, autonomy and impact-driven culture
- Supporting GTM and R&D in quarterly planning aligned with OKRs
- Created a strong data science culture within R&D
- Leading the Customer Health Score model projects for multiple products
- Creating an AI evaluation framework and integrating it to the AI platform to measure the success of AI products and features
- Responsible for the Data Science roadmap
- Setting up and driving Data Science and Analytics teams rhythms
- Introduced embedded ways of working for DS with product and AI engineering
Data Science Manager
Spotify
03.2021 - 10.2024
- Hired, onboarded, promoted, and supervised data scientists from entry level to senior (5 reports at a time)
- Adopted a culture of impact, autonomy, and collaboration for two growing teams (Podcast Ads Platform and Trust and Safety)
- Developed ways of working and best practices in ML modeling, experimentation, and creating success metrics
- Was responsible for creating and maintaining up to 10 critical metrics a year, Tableau dashboards and up to 30 ETLs
- Collaborated closely and was part of product engineering and design teams on projects related to Podcast Monetization (Ads)
- Coordinated and lead strategy of measurement framework for 2 distinct areas: podcast publisher platform Megaphone (Ads) and for Trust & Safety team
- Used offline ML models like Random Forests and Gradient Boosting to find potentially violating content and detect opportunities in Ads Marketplace opt-in
- Assisted engineering in productionizing these models iteratively
- Led the Data Science pillar for the Megaphone product
- Was responsible for the strategy and roadmap of the product with engineering, UX and Product Management
Senior Data Scientist
Spotify
01.2018 - 02.2021
- Performed a full audit of the existing experimentation platform and recommended re-building it from ground up
- This included using unit and functional software testing to evaluate the statistical validity, targeting and usability of the A/B testing platform
- Developed and drove online and live company-wide workshops for engineers, data scientists, and product managers on how to use the experimentation platform
- Educated >500 employees about experimentation
- Maintained internal stakeholder relationships with product teams to enable data-driven product development
- Assisted with running A/B tests with the goal of gathering their needs/pain points and informing them about the status of A/B testing platform feature development
- Worked closely with multiple engineering teams and provided them with impact analysis, platform success metrics, and RFCs
- Researched and collaborated on RFCs for the experimentation process, statistical hypothesis testing, power analysis, multiple comparisons detection and correction, and causal inference
Product Data Scientist
Spotify
02.2015 - 12.2017
- Conducted A/B tests for 5 teams at Spotify, including sales, marketing, and subscription: providing impact analysis and deep dives for existing features
- Collaborated with engineers, designers, and UX researchers to provide metrics and support product development
- Managed ad-hoc requests from product managers and data science leads, delivering insights to drive business decisions
Machine Learning Researcher
Dreamler
07.2014 - 01.2015
- Explored machine learning and gamification solutions for Dreamler project planning product
- Gathered and analyzed pilot data
- Designed and prototyped product features using ML and NLP technologies like LDA, k-means and random forests
Software Developer
Smart Eye
01.2013 - 10.2013
- Optimized and added AI Computer Vision features to a facial tracking software in C++ with Git
- Created unit tests to ensure the quality of added features
QA Engineer and Data Analyst
Volvo AB via Sigma Kudos
03.2011 - 12.2012
- Ran analyses on high complexity and unstructured truck log data and ad-hoc requests for business analysis to support internal product areas
- Lead user and validation testing efforts for two data and insight platforms that provided metrics to internal teams
- This included designing the testing suits and running interviews with users
Education
Master's Degree - Machine Learning
Chalmers University of Technology
Bachelor's Degree - Computer Science
Eötvös Loránd Tudományegyetem
Skills
Team leadership
Timeline
Senior Data Science Manager
Ontra
11.2024 - Current
Data Science Manager
Spotify
03.2021 - 10.2024
Senior Data Scientist
Spotify
01.2018 - 02.2021
Product Data Scientist
Spotify
02.2015 - 12.2017
Machine Learning Researcher
Dreamler
07.2014 - 01.2015
Software Developer
Smart Eye
01.2013 - 10.2013
QA Engineer and Data Analyst
Volvo AB via Sigma Kudos
03.2011 - 12.2012
Bachelor's Degree - Computer Science
Eötvös Loránd Tudományegyetem
Master's Degree - Machine Learning
Chalmers University of Technology
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