Viking River Cruises is seeking a Data Scientist to enhance customer engagement and drive data-driven decision-making through advanced analytics and predictive modeling.
Requirements
- Proficiency in Python, R, SQL, cloud-based platforms (e.g., AWS, Azure), data platforms like Databricks and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Experience with recommendation systems, NBA frameworks, and customer journey analytics.
- Understanding of software engineering foundations — including clean code practices, testing, version control, and CI/CD workflows.
- Comprehensive understanding of the ML lifecycle, from experimentation to model development and deployment.
- Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines
- Familiarity with fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks
- Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
Responsibilities
- Design, build, and refine predictive models to optimize customer engagement across digital and offline channels.
- Define, iterate, and implement a dynamic Next Best Action (NBA) engine to deliver personalized recommendations aligned with booked passenger goals and preferences.
- Ensure the integrity and accuracy of data through rigorous testing and validation of models.
- Apply advanced statistical and machine learning techniques to understand customer behavior and campaign performance.
- Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis and modeling.
- Translate complex data into actionable insights to support strategic initiatives across sales, marketing, and operations.
- Develop and maintain dashboards and reporting tools to monitor model performance and business impact.
Other
- This is a hybrid position based in our Woodland Hills, CA office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis.
- Strong communication skills and ability to present technical concepts to non-technical stakeholders.
- Partner with cross-functional teams to identify opportunities for data-driven enhancements and integrating predictive models into customer-facing platforms
- Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related fields.
- 8+ years of relevant experience in predictive modeling, machine learning, and personalization systems.
