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