Ingeniero / A Senior Sistemas

Own pricing science end to end, from elasticity and demand modeling to shipping and monitoring models on GCP, with clear guardrails and operator-friendly explainability.” We help operators grow through dynamic pricing, competitive benchmarks, and data-rich insights. Our stack is GCP-centric and data heavy (real-time + batch).

We’re hiring a

Senior Data Scientist specialized in Pricing

who is also excellent at

data engineering

• . You’ll co-own the pricing science roadmap end-to-end from demand / elasticity modeling to production deployment and monitoring - and help shape product and platform decisions with the founders. This is a hands-on, high-impact role with the opportunity to

lead projects and people

We’re a US-based company; this position is a remote contractor role with strong overlap to EU / US time zones.

Design the pricing methodology for multiple channels (direct + OTAs) : demand forecasting, price elasticity estimation, competitor response, inventory / lead-time effects, seasonality & events. Build hybrid

rules + ML

systems that start simple (guardrails, explainability) and graduate to

Bayesian / causal,

RL / bandit

approaches where appropriate. build offline / online evaluation, backtests, and simulation / sandbox environments. MLOps & Data Engineering Own feature pipelines and model services on

GCP

: BigQuery, Cloud Run, Pub / Sub, Cloud Storage, Vertex AI (or MLFlow), dbt / Mage / Airflow. Build reliable ELT / ETL (schema design, data contracts, idempotency, SLAs), feature stores, and model registries. Ship models to production with CI / CD, canary / A-B rollouts, monitoring for drift / quality, and automated re-training schedules. Implement privacy and security best practices (PII handling, access control, auditability).

Mentor data scientists / engineers; Work cross-functionally with Backend, Integrations, and Design; 7+ years

in Data Science / ML with

dynamic pricing / revenue management

in adjacent spaces (travel, hospitality, mobility, e-commerce, marketplaces, ads, or gig platforms). ~ Strong

Python

(pandas, numpy, scikit-learn; PyTorch / TensorFlow a plus) and

SQL

; Proven

data engineering

chops : building production pipelines / orchestration (dbt, Airflow / Mage), data modeling, testing, monitoring, and cost / perf tuning. ~ Experience deploying models / services on

GCP

(or AWS / Azure and willing to pivot) : BigQuery, Cloud Run, Pub / Sub, Vertex AI / MLFlow, Cloud Functions / Scheduler. Comfortable with MLOps : model registry, CI / CD for ML, drift / quality monitoring, feature stores, reproducibility. ~ Prior

project or team leadership

(tech lead / manager or de-facto lead on large initiatives).

DuckDB, Spark / Beam, Redis, Kafka Our stack (you’ll influence it)

GCP (BigQuery, Cloud Run, Pub / Sub, Storage, Scheduler, Vertex AI), Python, dbt, Mage / Airflow, Postgres, DuckDB, GitHub Actions, Sentry, Next.js.

Remote-first with EU and US overlap, periodic in-person meetups for planning and connection, travel covered

LinkedIn / GitHub and a short note on a

pricing system

you designed & deployed (objective, method, stack, results, lessons). Job Title :

Senior Data Scientist (Pricing), Senior ML Engineer, Pricing Systems, Senior Pricing Scientist, ML Engineering, Senior Applied Scientist (Pricing)