Senior ML Engineer, Pricing Systems

“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.”

About Walkway

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).

The Role

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.

What you’ll do

Pricing Science & Modeling

• 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.

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.
• 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).

Leadership & Collaboration

• 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.

What you’ve shipped / Requirements

• 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/perf 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).

Nice to have

• 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).

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.

Why Walkway

• 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

How to apply

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)