Data Scientist, HR Talent Science

JOB SUMMARY

 

Marriott International is seeking a Data Scientist to specialize in delivering novel functions and applications in HR, with a focus on compensation. In this role, you will develop and implement technical solutions within our Talent Science team, building tools and quantitative models to address external market competitiveness, internal equity, legal compliance, complex data munging, and information extraction. You will support the development and maintenance of predictive models, leveraging advanced analytics techniques to enhance critical programs across Marriott’s HR Solutions.

 

CANDIDATE PROFILE

Education and Experience:

• Minimum of 6 years of experience in data: e.g. a Master’s Degree (Mathematics, Statistics, Computer Science, Economics, Operations Research), relevant work experience, or some combination of the above
   
• Proficiency with statistical methods, especially multiple regression, time series analyses, experimental design, multi-variate testing and Bayesian information criteria
   
• Proficiency with a language like R, Python, or Java
   
• Experience with SQL in large environments
   
• Hands-on experience working with current relevant technologies such as Jupyter Notebooks, Docker, Spark, Tensor Flow, AWS, SageMaker, etc.
   
• Demonstrated ability to define and communicate vision and roadmaps to achieve target state architecture across people, process, and technology dimensions.
   
• Strong communication skills, attention to detail, and problem-solving abilities
   
• Ability to independently analyze problems, assess risks, and recommend solutions

 

PREFERRED QUALIFICATIONS

• Previous experience working with compensation data
   
• Knowledge of upcoming pay transparency/CSRD laws
   
• Familiarity Oracle APEX as a low-code application builder
   
• Previous exposure to enterprise HR platforms such as Oracle HCM is preferred

 

CORE WORK ACTIVITIES 

Application Building

• Design and develop robust full-stack applications to streamline and automate compensation and data analytics processes
   
• Implement effective back-end solutions, including APIs, databases, and server-side scripting
   
• Build user-friendly front-end interfaces in collaboration with UI/UX designers to present analytical findings and tools effectively
   
• Develop and maintain application documentation, including flowcharts, layouts, diagrams, charts, code comments and clear code
   
• Ensure application operability by troubleshooting and resolving software or implementation issues
   
• Conduct application performance tests, including stress, load and security tests, and troubleshoot issues to optimize performance
   
• Writes software and utility software tools to create and test new models

 

Compensation Analytics

• Provide technical data analytics support for compensation data projects
   
• Collaborate with compensation teams to provide tools and analytical support for market data analysis
   
• Develop tools to support compliance efforts around pay equity and fair pay practices
   
• Utilize statistical techniques and data-mining processes to analyze drivers of pay and support decision-making
   
• Work with compensation and data analytics teams to understand workflow and integration needs, building in seamless application connections as needed
   
• Develop and implements efficient, scalable algorithms using appropriate technologies/software/architectures

 

Human Centric Design

• Interact with cross-functional teams to solve business and process issues related to compensation
   
• Provide input on solution structure, tasks, timeline and estimates for deliverables
   
• Prioritize application feature development based on stakeholder feedback, and iterative user testing
   
• Present findings to stakeholders and design usable tools for compensation decision-making
   
• Partner with planning teams to articulate possible solutions to business problems and to develop requirements for new models
   
• Prepare detailed specifications for translation of complex business processes into models and prototypes

 

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.