# Marko Bokulic

Marko Bokulic is a remote worker on Himalayas, Data Science Consultant at DAZN, based in Netherlands.

Source: https://himalayas.app/@markobokulic

```text
Data Scientist at DAZN, building a boxing pay-per-view propensity model for audience targeting and marketing decisions.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Netherlands |
| Authorized to work in | Netherlands |
| Salary expectations | 55k+ EUR |
| Job categories | Data Scientist, Machine Learning Scientist |
| Skills | Applied Machine Learning, ML model development, A B Testing, Causal Inference, Experimental Design, Non Inferiority Studies, Model Evaluation, Model Diagnostics, Calibration, Metric Design, Release Impact Analysis, Feature Engineering, Large Scale Data Processing, ML Pipelines, Large Batch Training |
| LinkedIn | https://linkedin.com/in/marko-bokulic |

## What I'm looking for

```text
I’m keen to extend my foundation in model development, large-scale data, experimentation, and product-impact measurement into scalable GenAI applications.
```

## About

```text
At DAZN, I created a propensity model to predict boxing pay-per-view purchases, helping support audience segmentation, targeting, and promotional decisions.

At Booking.com, I built production machine learning systems for partner value prediction and search personalization. My partner value work supported account management decisions and automated onboarding decisions for 10k+ partners annually.

I also evaluated product and pricing experiments at Booking.com, using A/B testing, non-inferiority guardrails, and causal analysis to assess business impact. I’m keen to extend my experience in applied machine learning, experimentation, and large-scale data into scalable GenAI applications.
```

## Experience

### Data Science Consultant (current)

[DAZN](https://himalayas.app/companies/dazn). May 2026 - Present

```text
Consulting engagement focused on applied modeling for marketing optimization and audience targeting. Created a propensity model to predict boxing pay-per-view purchase likelihood using prior purchases, subscription history, boxing engagement, and marketing engagement.
```

Skills: Propensity-Modeling, Audience-Targeting, Marketing-Optimization, Predictive-Analytics

### Sabbatical

Sabbatical. Apr 2025 - Apr 2026

```text
Took a planned sabbatical following several years in data science and ML roles.
```

### Machine Learning Scientist II

Booking.com. Jan 2022 - Mar 2025

```text
Built and maintained production ML systems for product and decision support. Owned core components of a partner lifetime value prediction system, built a search-time intent model for personalization, and improved room-option relevance for family and group travelers.
```

Skills: LightGBM, PySpark, Vowpal-Wabbit, Machine-Learning, ML-Pipelines, Feature-Engineering, Model-Validation, AWS-Sagemaker, Airflow

### Data Scientist Insights

Booking.com. Jan 2021 - Jan 2022

```text
Led large-scale experimentation and growth analysis in a two-sided marketplace environment. Evaluated product changes for awareness and adoption, and analyzed pricing guidance experiments for new partners.
```

Skills: A-B-Testing, Causal-Inference, Experimentation, SQL, PySpark, R, Tableau, Non-Inferiority-Studies, Metric-Design

### Marketing Analyst (Junior, Core)

Booking.com. Aug 2018 - Dec 2020

```text
Performed partner and affiliate performance analysis to support commercial decision-making and ROI-based evaluations. Analyzed cannibalization effects across acquisition channels and built reporting pipelines using SQL, PySpark, R, and Tableau.
```

Skills: SQL, PySpark, R, Tableau, Performance-Analysis, ROI-Analysis, Reporting-Pipelines

### Data Analyst & Programmer

Behave. Jun 2015 - Jun 2017

```text
Analyzed behavioral and survey data from in-store customer studies to support retail and consumer insights. Designed research methodologies and built data collection and visualization tools.
```

Skills: Data-Analysis, Survey-Data, Research-Methodology, Data-Visualization, iOS-app-development, Web-Dashboard

### Data Analyst & Project Manager

Monolith. Oct 2013 - May 2015

```text
Designed and owned an analytics dashboard combining behavioral and sales data for brick-and-mortar retail insights. Developed in-store measurement and research methodologies to inform store layout and operational improvements.
```

Skills: Analytics-Dashboards, Data-Analysis, Research-Methodology, Retail-Insights, Project-Management

## Education

### University of Zagreb

MSc and BSc, Psychology. 2005 - 2011

```text
Completed MSc and BSc in Psychology with a focus on statistics, experimental design, and psychometrics.
```

## Tech stack

- Snowflake
- Tableau
- PySpark
- MySQL
- Python
- H2O
- Git
- Airflow
- SQL
- LightGBM

To contact Marko, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

## People also viewed

- [Davide Vidotto](https://himalayas.app/@davidevidotto): Senior Quantitative Developer/Data Scientist, Atradius
- [VISHAL BHOLA](https://himalayas.app/@vishalbhola): Head of Commercial Analytics & BI, HousingAnywhere
- [Andrey Spiridonov](https://himalayas.app/@andreyspiridonov): Founder, Startup X
- [Doyel De Sarkar](https://himalayas.app/@doyeldesarkar): Data Scientist, Robert Bosch GmbH
- [RIthvik Bangari](https://himalayas.app/@rithvikbangari): Data Science Intern, Metyis
- [mario khalil](https://himalayas.app/@mariokhalil): Analytics Lead / Data Science & Analytics Manager, Booking.com
- [pavani peri](https://himalayas.app/@pavaniperi): Data Engineer, Just Eat Takeaway.com
- [Esteban Castillo](https://himalayas.app/@estebancastillo2): Senior Data Scientist, Traackr
- [Subrahmanya Avadhani](https://himalayas.app/@subrahmanyaavadhani): Senior Data Scientist, Aily Labs
- [Hernando Suarez](https://himalayas.app/@hernandosuarez): Data Engineer, The Hyve