Hilton
Linkedin · Posted 1mo ago
Data Scientist (contract)
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Indexed description
Please note that this is a contract role providing services to Hilton through Talent Solutions. If you are selected for this role, you will be employed by Talent Solutions and will not be an employee of Hilton. Contract workers are not employees of Hilton or any of its subsidiaries, nor will they be eligible for Hilton benefits.
- US based hybrid role in our McLean, VA office 2 days/week***
Responsibilities
- Collaborate with business teams to understand and unpack complex industry processes and problem statements
- Lead the research, design, documentation, development, and testing of sophisticated data science models in both prototype and production environments
- Effectively communicate technical subject matters to stakeholders with varying levels of technical acumen and guide discussion
- Partner with other functional teams throughout engineering and technology to deliver data solutions as needed
- Stay abreast of industry standard algorithms as well as latest developments and apply them as appropriate in delivering an innovative data science solution
- Operate with autonomy and collaborate with other team members to accomplish project goals
- Self-disciplined and well-organized, with a strong sense of accountability
- Confident in taking ownership of responsibilities and exhibiting a high level of energy and drive
- Ambitious and forward-thinking, with a genuine passion for delivering exceptional customer experiences
- Dedicated work ethic, demonstrating flexibility and dependability
- Commitment to applying critical thinking throughout all contributions
- Demonstrated proficiency in SQL, Python, Machine Learning and GenAI
- 3+ years of post-academic professional/industry experience building, implementing, testing, and deploying data science and advanced analytics production models
- 3+ years of post-academic experience working on enterprise-scale projects relating to technology applications
- 5+ years of research experience in applicable science and/or engineering fields, with strong theoretical and practical knowledge of mathematical modeling and optimization techniques
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