LodgeLink is looking to solve business problems using data and analytically based solutions by hiring a Sr. Data Scientist to develop and deploy data-driven solutions, analyze large datasets, build predictive models, and help drive strategic decision-making.
Requirements
- Proficient in Python and SQL, and additional software experience preferred
- Familiar with machine learning modelling (classification, regression, clustering) across a variety of implementations (linear, neural networks, svm, tree-based, bandits, etc) and frameworks (Tensorflow, PyTorch, Sagemaker, Prophet etc)
- Skilled in applying statistical test (e.g. t-test, chi-squared, non-parametric etc), experiment design, and causal inference models to real-world problems
- Experience with cloud-based data environments (preferably Azure) and distributed computing tools (e.g., Databricks, Spark)
- Strong grasp of statistics, machine learning techniques, and practical data storytelling
- Familiarity with software engineering practices such as Git, testing, and CI/CD for models
- Demonstrated ability to work cross-functionally and balance speed with quality
Responsibilities
- Explore, clean, and analyze structured and unstructured datasets to extract insights that improve our products and services
- Develop and test predictive models (e.g., demand forecasting, pricing optimization, customer segmentation) and help integrate them into business workflows
- Work with developers and product managers to deploy models into production, ensuring scalability and reliability
- Develop algorithms and methodologies that optimize back-end processes and maximize revenue
- Develop internal models/processes such as machine learning models, numerical optimization, statistical significance testing, and streaming event data processing
- Promote the adoption of advanced analytics and data-driven thinking within LodgeLink
- Work effectively with stakeholders to understand ambiguous business problems, assess data needs, develop/maintain best suited models or processes, and identify opportunities where data science can create value
Other
- This role is hybrid - in-office with 20% flexibility to work from home.
- 5+ years of experience as a Data Scientist or in a related role
- Experience operating in a cloud environment (Azure, AWS) with large datasets
- Experience working in a SaaS or travel-tech environment
- Familiar with Agile methodologies and CI/CD practices
