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)

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