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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Alois LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, A/B Testing, Artificial Intelligence, Microsoft Azure, Data Presentation, Python (Programming Language), Power BI, Azure Machine Learning, SQL Databases, Feature Engineering, Snowflake, Pandas, Scikit Learn, Information Technology, Machine Learning Operations - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pelfds48bg ## About the Role * 7+ years' applied data science, with a track record of models deployed to production and adopted by the business. * Expert in Python (pandas, scikit-learn and related ML/stats libraries) and SQL, with a strong foundation in timeseries forecasting, regression, classification and clustering. * Hands-on experience with an enterprise ML platform (Azure ML or equivalent AutoML) and a cloud data warehouse (Snowflake or equivalent). * Proven MLOps discipline - model deployment, batch-prediction pipelines, monitoring, drift detection and retraining. * Working experience on Microsoft Azure (e.g. Azure ML, Azure DevOps, storage and compute services). * Excellent stakeholder engagement and data storytelling - able to turn technical results into commercial decisions and present with confidence to executives. * Degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering or Data Science) or equivalent experience. DESIRABLE * Aviation, transport, or pricing / revenue-management and forecasting-heavy operational domains. * Power BI, explainable AI, optimisation, and A/B testing frameworks. * Familiarity with Responsible AI governance and privacy-aware analytics. * Experience leading or mentoring distributed onshore/offshore teams. ## Description Client Airport's Advanced Analytics & AI function turns operational and commercial data into decisions across parking, aeronautical, retail and airport operations. As a Senior Data Scientist you own our highest value data science use cases end-to-end - from framing the problem with business owners through to deploying and monitoring production models - and act as the trusted technical advisor bridging the business and our onshore/offshore delivery team., * Lead delivery of forecasting and optimisation use cases such as car-park occupancy and price-elasticity modelling, valet resource optimisation, 18-month and 5-year passenger (PAX) forecasts, ML security-screening forecasts, and retail PSR and cross-sell models. * Partner directly with business owners across Parking, Commercial/Aero, Retail and Operations to frame problems, define success measures, and translate model outputs into pricing, capacity, staffing and revenue decisions. * Design, build, validate and productionise models in Python on our data science platform (Azure Machine Learning), integrated with Snowflake. * Own model quality and the full lifecycle - feature engineering, explainability and what-if analysis, batch prediction, and production monitoring for data drift and model health. * Present forecasts, insights and recommendations to senior stakeholders and executives, and run scenario analysis to support high-stakes decisions (e.g. capacity build vs no-build, pricing strategy). * Set technical direction and mentor onshore and offshore data scientists; review work and lift delivery standards. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)