Jobs in Valladolid, España

“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.”

Walkway builds AI-driven revenue intelligence for the tours & activities industry. 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.
• Define KPIs (revenue / seat, conversion, occupancy, margin) and attribution logic; build offline / online evaluation, backtests, and simulation / sandbox environments.
• Partner closely with Product to keep price recommendations explainable and operator‑friendly.

• 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.
• You treat models as products, you design APIs and batch jobs that other services depend on.
• Implement privacy and security best practices (PII handling, access control, auditability).

• Co‑lead the pricing roadmap; break down research into shippable increments.
• Mentor data scientists / engineers; set standards for code, reviews, docs, and experiment hygiene.
• Work cross‑functionally with Backend, Integrations, and Design; communicate clearly with non‑technical stakeholders.

• 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; comfort profiling & optimizing code / queries.
• Proven data engineering chops: building production pipelines / orchestration (dbt, Airflow / Mage), data modeling, testing, monitoring, and cost / performance tuning.
• Depth in time‑series forecasting, elasticity / choice models, causal inference or uplift, and experiment design.
• Experience deploying models / services on GCP (or AWS / Azure and willing to pivot): BigQuery, Cloud Run, Pub/Sub, Vertex AI / MLFlow, Cloud Functions / Scheduler. Evidence of taking a model from notebook to production service with clear SLOs, versioned rollouts, and post‑incident learnings.
• Comfortable with MLOps: model registry, CI / CD for ML, drift / quality monitoring, feature stores, reproducibility.
• Excellent communication; can turn ambiguity into a plan and explain trade‑offs to product & customers.
• Bonus: Prior project or team leadership (tech lead / manager or de‑facto lead on large initiatives).

• OTA / travel tech integrations, pricing under parity and channel constraints.
• Reinforcement learning / contextual bandits in production.
• DuckDB, Spark / Beam, Redis, Kafka.
• Experience designing explainable pricing UIs and operator‑facing levers (guardrails, sensitivity sliders, override workflows).

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

• Own the pricing engine of an award‑winning AI product used by real operators.
• Ship research to prod quickly with a pragmatic, low‑ego team.
• Influence product, architecture, and the roadmap; opportunity to build & lead a small pricing science group.
• Remote‑first with EU and US overlap, periodic in‑person meetups for planning and connection, travel covered.

Please apply here, or email me at emmanuel@walkway.ai, optionally with:

• LinkedIn / GitHub and a short note on a pricing system you designed & deployed (objective, method, stack, results, lessons).
• Any links to papers, write‑ups, or dashboards you can share.

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