Hi, I'm Matúš Jurák, a dedicated Data Scientist with extensive experience in building advanced models and leading data-driven projects, particularly in the gaming and digital sectors. I enjoy collaborating across teams to deliver AI and machine learning solutions that bring real value to businesses. My background in probability and mathematical statistics helps me approach problems with a solid analytical foundation. I am passionate about exploring new AI technologies, including Generative AI and multi-agent workflows, and mentoring colleagues to improve their skillsets. Outside of work, I love diving into complex data challenges and sharing insights in an approachable and practical way.

Mgr. Matúš Jurák

Hi, I'm Matúš Jurák, a dedicated Data Scientist with extensive experience in building advanced models and leading data-driven projects, particularly in the gaming and digital sectors. I enjoy collaborating across teams to deliver AI and machine learning solutions that bring real value to businesses. My background in probability and mathematical statistics helps me approach problems with a solid analytical foundation. I am passionate about exploring new AI technologies, including Generative AI and multi-agent workflows, and mentoring colleagues to improve their skillsets. Outside of work, I love diving into complex data challenges and sharing insights in an approachable and practical way.

Available to hire

Hi, I’m Matúš Jurák, a dedicated Data Scientist with extensive experience in building advanced models and leading data-driven projects, particularly in the gaming and digital sectors. I enjoy collaborating across teams to deliver AI and machine learning solutions that bring real value to businesses. My background in probability and mathematical statistics helps me approach problems with a solid analytical foundation.

I am passionate about exploring new AI technologies, including Generative AI and multi-agent workflows, and mentoring colleagues to improve their skillsets. Outside of work, I love diving into complex data challenges and sharing insights in an approachable and practical way.

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Language

Slovak
Fluent
English
Fluent
German
Intermediate
Spanish; Castilian
Intermediate

Work Experience

Lead Data Scientist at CaterpillarIT
December 1, 2024 - Present
Building multi-agentic solutions for the internal GenAI platform. Leading projects with junior colleagues to deliver end-to-end implementation on the platform. Helping junior colleagues optimize LLM pipelines, reducing processing times by 95% and response latency by approximately 3 seconds. Involved in decision making for the tech stack of the entire team and presenting bi-weekly on GenAI-related topics across departments.
Sr. Data Scientist at Caterpillar Digital
June 1, 2023 - Present
Part of the team that delivered the first GenAI tool in production at Caterpillar, collaborating cross-team with UI, Engineering, and Architects. Led multiple interns on projects to create evaluation tools for feedback and document RAG tools. Building POCs for various GenAI use cases focusing on multi-agent workflows including research, demo creation, presentations to non-tech stakeholders, and ensuring successful handover to production.
Lead Data Analyst at Foodora
July 31, 2023 - July 23, 2025
Hired as the first Data Analyst for Slovakia to set up reporting and experimentation pipelines. Educated peers on hypothesis testing and led the hiring process for replacement by creating interview questions and evaluating candidates.
Sr. Data Scientist at Avast
April 30, 2023 - July 23, 2025
Led Reach improvement project across departments, improving marketing campaign effectiveness by up to 50 percentage points. Led Next Best email action project driving 5% LTV increase with minimal retention trade-off. Created models predicting customer resubscription with over 90% accuracy, integrated into internal experimentation platform. Proposed business initiatives for communications cutting email volume by 30-50% while maintaining 95% booking levels. Provided process automation, code reviews, and statistical guidance.
Data Scientist at Amazon
January 31, 2022 - July 23, 2025
Built ensemble models to improve coaching efficiency by reducing unnecessary coaching by 20%. Led seller experience analysis using dimensionality reduction, clustering, and regression on behavioral data. Automated and standardized Python scripts across 30+ departments and mentored peers in Python, SQL, Data Science, and statistics.
Senior Data Analyst at Vaha GmBH
March 31, 2021 - July 23, 2025
Short-term project focused on unifying subscription and retention reporting.
Data Lead at Megarama Games
June 30, 2020 - July 23, 2025
Responsible for analytics, economy design, and product management for Slots WOW! Increased daily conversion rates by 30% and IAP ARPDAU by 50-100% using targeted offers. Created schema for tracking in-game events and collaborated with developers to ensure analytical tracking of game features.
Data Scientist at SuperScale
December 31, 2019 - July 23, 2025
Developed RandomForest model to identify potential slot game players achieving 95% ROC-AUC, though not implemented due to misalignment. Created prediction models for user acquisition campaign analytics with less than 15% MAPE given at least ten days of data. Prepared personalized weekly player offers increasing ARPU by 20% without retention loss. Managed creation and evaluation of game design assignments for applicants' excel and creativity skills.
Various Data Internship roles at IBM, Dell, PricewaterhouseCoopers
April 30, 2018 - July 23, 2025
Held multiple internships involving data-related roles.
Lead Data Scientist at CaterpillarIT
December 1, 2024 - Present
Part of a team delivering multi-agentic solutions and building features for the internal GenAI platform. Assists junior colleagues with optimizing their large language model pipelines and participates in tech stack decision-making for the team.
Sr.Data Scientist at Caterpillar Digital
June 1, 2023 - Present
Delivered the first Generative AI tool in production at Caterpillar, collaborating across UI, Engineering, and Architects teams. Led multiple interns on projects developing evaluation and document retrieval-augmented generation tools. Built POCs for various GenAI use cases focused on multi-agent workflows, including research, demos, stakeholder presentations, and transition to production teams.
Lead Data Analyst at Foodora
July 31, 2023 - August 1, 2025
Hired as the first Data Analyst for Slovakia to set up reporting and experimentation pipelines, including peer education in hypothesis testing. Led the hiring process for a replacement, creating interview questions and personally interviewing candidates.
Sr.Data Scientist at Avast
April 30, 2023 - August 1, 2025
Led projects to improve customer reach by collaborating with multiple departments, established next best email action heuristics to increase lifetime value, and created high-accuracy resubscription prediction models. Proposed and drove communication business initiatives, prototyping models that reduced email volume while maintaining booking rates. Performed process automation, code reviews, and provided advanced statistical support.
Data Scientist at Amazon
January 31, 2022 - August 1, 2025
Built ensemble models to optimize coaching efficiency by identifying sellers in need, reducing unnecessary coaching by 20%. Led analyses on Seller experience using dimensionality reduction, clustering, and text/behavioral regression techniques. Automated and standardized short Python scripts across departments and mentored peers in Python, SQL, and data science.
Senior Data Analyst at Vaha GmBH
March 31, 2021 - August 1, 2025
Short-term project focused on unifying reporting for subscription and retention metrics.
Data Lead at Megarama Games
June 30, 2020 - August 1, 2025
Responsible for analytics, economy design, and product management for Slots WOW!. Increased daily conversion by 30% and in-app purchase ARPDAU by 50-100% through targeted offers. Managed tracking schema design and collaborated on grooming sessions to support analytics integration.
Data Scientist at SuperScale
December 31, 2019 - August 1, 2025
Developed a Random Forest model to identify potential slot game players achieving 95% ROC-AUC, though the solution was not implemented due to misalignment. Created predictive models for user acquisition campaigns integrated with marketing apps, achieving <15% mean absolute percentage error. Prepared personalized weekly offers resulting in a 20% revenue increase without retention loss. Evaluated game design assignments for candidate assessment.
Various Data Internship roles at IBM, Dell, PricewaterhouseCoopers
April 30, 2018 - August 1, 2025
Held multiple internships focusing on data roles to build foundational knowledge and skills in analytics and data science.

Education

Masters at Comenius University
January 1, 2017 - December 31, 2019
Bachelors at Comenius University
January 1, 2012 - December 31, 2015
Graduate certificate at Stanford University
September 1, 2022 - December 31, 2025
Masters at Comenius University
January 1, 2017 - December 31, 2019
Bachelors at Comenius University
January 1, 2012 - December 31, 2015

Qualifications

Graduate certificate in Artificial Intelligence
September 1, 2022 - December 31, 2025

Industry Experience

Software & Internet, Gaming, Manufacturing, Transportation & Logistics, Professional Services, Consumer Goods