At BID Agency, we craft intelligent digital experiences for the hospitality industry. We’re looking for a Behavioral Data Scientist to help us turn complex user data into smarter, more personalized, and predictive web experiences.

About the Role

You’ll be working within a mature first-party data environment, including:

Web analytics events (GA-like) tracked across websites and stored in Google BigQuery
OpenReplay session recordings with detailed customer journey tracking
Server-side logging data linked via session ID
CRM and loyalty data from HubSpot and partner systems

Your Mission

We’re ready to level up — not only with real-time insights, but with true forecasting. Your job will be to:

Build personalization logic for loyalty users
Recommend and analyze A/B tests and UX/content optimizations
Forecast click-through rates, conversions, user behavior patterns, ROI, and trends
Design analytics pipelines for predictive user journey optimization

Tech Stack You’ll Work With

Google Cloud Platform (BigQuery, Cloud Functions, Dataflow, Vertex AI)
OpenReplay, CRM and loyalty APIs
Python or R for modeling, forecasting, and visualization

Who You Are

Experienced in behavioral analytics, data modeling, and forecasting
Advanced SQL skills (BigQuery) and proficient in Python or R
Comfortable working with session-level and multi-source datasets
Able to translate data into product and UX decisions
Bonus: Experience in hospitality, personalization engines, or recommender systems

Big Bonus:

Strong interest in working with Google’s new TimesFM-ICF model for advanced time-series forecasting across marketing KPIs (clicks, conversions, ROI) and user behavior trends.

Why BID Agency

Listed in Deloitte’s Fast 50 – among the fastest-growing tech companies in Central Europe
Driving a first-party, AI-native transformation in hospitality tech
Remote flexibility, strong engineering & analytics culture, and a chance to shape next-gen digital experiences

Ready to join us?

Apply now or connect with us directly on LinkedIn.

Let’s use data not just to understand users — but to predict their next move.