Data Scientist

Job Title: Data Scientist

Duration: Long-term, possibility to convert FTE 

Remote 

**We do not sponsor H1B Visa's**

The Data Scientist will be a key contributor to transformative data science initiatives, optimizing operational efficiency and enhancing guest experiences. 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.

This position will regularly address the most complex business questions that are beyond the scope of currently utilized technology and understanding. This role will make decisions on the appropriate and ethical use of artificial intelligence and machine learning, including which models and technology will create the most accurate outcomes vs the scenario, and the scope at which to employ those technologies. Through the work produced, this role will contribute to a team with the potential to create multimillion dollar savings for the brand on an annual basis, while simultaneously driving increased brand Net Promoter Score (NPS). Analysis and recommendations produced by the Data Scientist will drive business direction for Hotel Operations at operational, tactical, and strategic levels.

Essential Functions: 

• 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  data assets, big data technologies to develop and deploy testing hypotheses, use cases, and analyze test results.

Other Functions:

• Performance Monitoring: Develop and maintain systems for monitoring the performance and impact of data science initiatives. Provide regular reports and updates to management.
• Stakeholder Engagement: Work closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide actionable insights. Serve as a point of contact for data-related inquiries and support.
• Continuous Learning and Improvement: Stay updated with the latest trends and advancements in data science, machine learning, and AI. Continuously improve existing models and processes by experimenting with new techniques and technologies.

Qualifications & Education: 

• Bachelors in STEM fields, including Data Science, Computer Science, Statistics, Analytics, Engineer, Information Technology or equivalent degrees. MA preferred.
• Experience in data science or engineering roles.
• Minimum 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.
• 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.

Benefits through CGC:  Dental, Vision, STD and/or LTD, Voluntary Life & AD&D, Accident, Critical Illness, Hospital Indemnity, Health Advocate EAP, and Health Equity Commuter Benefits, ZayZoon, and 401k.

We are an equal opportunity employer and prohibit discrimination/harassment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws