Ingeniero informático senior

Walkway; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A data-driven technology company is seeking a Senior Data Scientist specialized in Pricing to shape their pricing science from modeling to deployment. The ideal candidate will have over 7 years of experience in Data Science, particularly in dynamic pricing, and strong skills in Python and GCP. This remote role offers collaboration with cross-functional teams and opportunities for mentorship. Competitive compensation is expected.

Servicios

Remote-first work environment

Periodic in-person meetups

Travel covered for meetups

Formación

• 7+ years in Data Science / ML with experience in dynamic pricing or revenue management.
• Proven experience deploying models/services on GCP.
• Experience in project leadership or team management.

Responsabilidades

• Co-own pricing science roadmap and modeling.
• Design pricing methodologies and methodologies for channels.
• Build offline/online evaluations and simulations.
• Mentor team members in data science and engineering.
• Implement privacy and security best practices.

Conocimientos

Strong Python (pandas, numpy, scikit-learn)

SQL

Data engineering chops (building production pipelines)

Dynamic pricing expertise

Mentoring experience

Herramientas

GCP (BigQuery, Cloud Run)

MLFlow or similar

dbt

Airflow

DuckDB

Descripción del empleo

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)