One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone.
The Data Scientist will be a key contributor to transformative data science initiatives, optimizing operational efficiency and enhancing guest experiences across Princess. This role leverages advanced analytics, machine learning, and AI to deliver actionable insights that inform strategic decisions and elevate performance metrics. Through team collaboration and individual contribution, this position is responsible for delivering complex data projects that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience within the fleet.
Here’s a summary of what Princess is looking for in its Data Scientist. Is this you?
Responsibilities
- Drives execution of a portfolio of Machine Learning (ML) projects/programs in alignment with and supporting our emerging Strategic Roadmap. Leverage data science tools and techniques to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights in the data.
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits. Insight discovery: Deliver data insights and drive for adoption through tools (e.g., dashboards, self-serve reporting), memos, and presentations. Analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making.
- Understands business issues and translates it into data problems and providing necessary analytical objectivity to ensure data quality, consistency, repeatability and accuracy of insights. Collaborate with analyst, product owners and data scientists to understand data needs, representing key data insights in a meaningful way.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, Python, Power BI). Format, re-structure, and validate data to ensure quality. Independently design, build and launch new data extraction, transformation and loading processes in production, supporting others around efficient queries. Support existing processes running in production and implement optimized solutions.
- Identify the data needed for a business problem and implement required ensure and provide availability of data, while working with data infrastructure to triage issues and resolve.
- Develop and optimize performant database, data model, integration and ETL in snowflake environments.
- Promote and role-model best practices of data science, engineering, and communication throughout the organization.
- Develops a deep understanding of the analytical need and leverage knowledge of Princess data assets, big data technologies to develop and deploy testing hypotheses, use cases, and analyze test results.
Please note that this a long-term temp to hire contract position and you will be hired and paid through our payrolling agency. This position can be 100% remote.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineer, Information Technology or equivalent educational or job experience, master’s degree preferred
- Experience in data science or engineering roles.
- 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a master’s degree).
- Extensive experience with SQL and database concepts required.
- Strong SQL skills and ability to create queries to extract and build tables and database concepts required.
- Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
- Experience writing ETL processes
- Proficiency in data visualization tools such as Tableau, Power BI, or equivalent.
- Proven experience with at least one major RDBMS
- Experience with programming languages (e.g. Python, Pyspark, R).
- Experience with data orchestration/ETL tools (e.g. Airflow)
- Excellent analytical and problem-solving abilities.
- Strong experience with database systems, both SQL and NoSQL, and their optimization.
- Leadership, engagement, collaboration and other necessary skills
- Ability to work independently and in a team environment with a positive attitude.
- Strong organizational and documentation skills with a keen attention to detail.
- Willingness to take initiative and to follow through on projects and highly self-motivated.
- Effective communication skills with the ability to convey complex findings to non-technical stakeholders.
- Problem solver with strong attention to detail and excellent analytical and communication skills.
- Must have legal right to work in the U.S.
What You Can Expect
- Base Hourly Range: $35.00 to $65.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates’ qualifications and experience unique