Senior Data Scientist

Miami, FL
Full Time
Manager/Supervisor
Position Summary
OneSpaWorld is a worldwide provider and innovator in the fields of wellness, beauty, rejuvenation, and transformation at sea on cruise ships and on land at resorts.  The company is dedicated to maintaining the highest quality standards and service delivery and is continually evolving to include all aspects of health and beauty while focusing on new advances within the wellness industry.
The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization. They will be responsible for leveraging vast amounts of data to develop models and algorithms to drive business solutions and enhance the company's data-driven decision-making process.
Essential Duties and Responsibilities
  • Leading and developing machine learning models and algorithms to extract business insights and drive solutions.
  • Managing large and complex datasets, developing advanced analytics processes and programs, and ensuring data accuracy.
  • Collaborating with cross-functional teams to assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Developing custom data models and algorithms to apply to data sets.
  • Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Maintaining and enhancing the business’s AI and ML solutions.
  • Coordinating with different functional teams to implement models and monitor outcomes.
  • Creating processes and tools to monitor and analyze model performance and data accuracy.
  • Presenting findings and data insights to key stakeholders, providing recommendations for business improvements.
  • Mentoring other data scientists and data analysts, providing guidance and support in their career growth.
  • Staying updated with emerging technologies and developments in data science, and implementing new methodologies as needed.
  • Ensuring compliance with data privacy and protection regulations.
  • Performs other duties as required.  This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position.  Employees will be required to perform any other job-related duties assigned by their supervisor or management.
 
Key Relationships
  • OSW Leadership
  • Internal stakeholders
  • External partners
Financial Responsibilities
  • Applicable project targets and metrics
  • Gross and net revenue performance
  • Organization’s Key Results
  • Annual budget
  • Cost Optimization
  • BI Solutions Licencing and Maintenance Cost
Qualifications
  • 5+ years of commercial experience
  • Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist or similar role.
  • Spa, Wellness, Fitness, Cruise, Travel, or Hospitality industry experience preferred
  • Proven experience in working with a global team
 
Knowledge and Skills
  • Strong knowledge of machine learning models, statistical modeling techniques, and data mining.
  • Proficiency in programming languages like Python, R, or Scala.
  • Proficiency in database architectures and development languages like MS SQL, Azure SQL, Cosmos DB.
  • Experience using data visualization tools and data frameworks.
  • Experience with AI/ML technologies and LLMs (e.g. ChatGPT)
  • Strong problem-solving skills and ability to think critically and conceptually.
  • Excellent communication and presentation skills.
  • Ability to work in a fast-paced, dynamic environment.
  • Strong project management and organizational skills.
  • Familiarity with cloud services (AWS, Google Cloud, etc.) and experience with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is a plus.
 
Style And Culture
  • Nurture Employees
  • Do The Right Thing
  • Open And Honest Communication
  • Play As A Team
  • Better Tomorrow Than Today
  • Pay It Forward
  • Find A Way Or Make One
  • Simple and Fast
  • Walk The Talk

 
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