Senior Data Scientist

SherlockTalent; Miami (FL); Hybrid; USD 135,000 - 165,000; Full time

Job summary

A leading company in the cruise and hospitality industry seeks a Senior Data Scientist with AI and ML experience to leverage data for innovative solutions. The role involves developing models, mentoring, and collaborating with teams to enhance data-driven decisions, all within a hybrid work environment.

Qualifications

• 5+ years of commercial experience in data science.
• Proven experience working with global teams.
• Industry experience in Wellness or Hospitality preferred.

Responsibilities

• Manage large complex datasets and develop analytics processes.
• Lead machine learning models and derive business insights.
• Collaborate with teams on data-gathering techniques.

Skills

AI/ML technologies

Machine learning models

Statistical modeling

Data visualization tools

Python

R

Problem-solving

Communication skills

Education

Advanced degree in Computer Science

Statistics

Mathematics

Tools

MS SQL

Azure SQL

Cosmos DB

AWS

Google Cloud

Hadoop

Spark

Job description

Role:Senior Data Scientist (with AI and ML experience)Location: Miami, Florida hybrid –Onsite Tuesdays & Wednesdays, remote Mondays, Thursdays & FridaysCompensation:$150K+ Performance BonusJob Type: Full Time/PermJob Code: 7302

Our client is pursuing new advances within the cruise, hospitality, and wellness industry.

Role Overview:We seek a Senior Data Scientist with experience in AI and ML to join our dynamic team.The candidate will leverage vast data to develop models and algorithms to drive business solutions and enhance the company’s data-driven decision-making process. The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization.

Essential Tasks and Responsibilities:

• Managing large and complex datasets, developing advanced analytics processes and programs, and ensuring data accuracy.
• Leading and developing machine learning models and algorithms to extract business insights and drive solutions.
• Developing custom data models and algorithms to apply to datasets.
• Collaborating with cross-functional teams to assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Maintaining and enhancing the business’s AI and ML solutions.
• Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Creating processes and tools to monitor and analyze model performance and data accuracy.
• Coordinating with different functional teams to implement models and monitor outcomes.
• Presenting findings and data insights to key stakeholders and providing recommendations for business improvements.
• Ensuring compliance with data privacy and protection regulations.
• Staying updated with emerging technologies and developments in data science and implementing new methodologies as needed.
• Mentoring other data scientists and data analysts, providing guidance and support in their career growth.

Crucial Relationships:

• Internal stakeholders
• External partners
• Leadership

Financial Competences:

• Annual budget
• BI Solutions Licensing and Maintenance Cost
• Cost Optimization
• Applicable project targets and metrics
• Organization’s Key Results
• Gross and net revenue performance

Skills and Knowledge:

• Ability to work in a fast-paced, dynamic environment.
• Experience with AI/ML technologies and LLMs (e.g., ChatGPT)
• Strong knowledge of machine learning models, statistical modeling techniques, and data mining.
• Proficiency in database architectures and development languages like MS SQL, Azure SQL, Cosmos DB.
• Experience using data visualization tools and data frameworks.
• Proficiency in programming languages like Python, R, or Scala.
• Strong problem-solving skills and ability to think critically and conceptually.
• Excellent communication and presentation 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.
• Strong project management and organizational skills.

Qualifications:

• Proven experience as a Data Scientist or similar role.
• 5+ years of commercial experience
• Proven experience in working with a global team
• Wellness, Fitness, Cruise, Travel, or Hospitality industry experience preferred
• Advanced degree in Computer Science, Statistics, Mathematics, or a related field.

Values:

• Team’s Collaboration
• Find a Way or Make One
• Do the Right Thing
• Better Tomorrow Than Today
• Open and Honest Communication
• Walk the Talk
• Simple and Fast
• Nurture Employees
• Pay It Forward

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