Data Scientist - ML Model Operations (Remote)

Hilton Grand Vacations; Orlando (FL); Remote; USD 85,000 - 120,000; Full time

Job summary

A leading company in the hospitality sector is seeking a Data Scientist specializing in ML Model Operations. This remote role involves designing scalable AI solutions, collaborating with teams for innovations, and ensuring data integrity. Ideal candidates will have strong Python skills, experience with machine learning platforms, and the ability to communicate technical requirements effectively. Join a diverse and inclusive team committed to excellence and innovation.

Benefits

Excellent health care options

Outstanding Paid Time Off (PTO)

Automatic enrollment in Retirement Savings Plan

Go Hilton Team Member Travel Program

Qualifications

• 5+ years of ML Operations and/or Data Science experience preferred.
• Experience with advanced SQL techniques and machine learning architectures.

Responsibilities

• Design and develop scalable AI solutions integrated with business processes.
• Monitor and optimize ML model performance in production environments.
• Implement and manage CI/CD pipelines for ML models.

Skills

Python

Machine Learning

SQL

Data Analysis

Statistics

Tools

Databricks

Azure ML

TensorFlow

Keras

PowerBI

Job description

Data Scientist - ML Model Operations (Remote)

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Why do Team Members Like Working for us?

• Excellent health care options (medical, dental, and vision that encourage preventative care – starting on day 1!).
• Outstanding Paid Time Off (PTO) for adventure, rest, relaxation, or recuperation.
• Automatic enrollment in the HGV Retirement Savings Plan for all new Team Members.
• Go Hilton Team Member Travel Program with discounted accommodations and restaurant discounts; share savings with additional room nights.

Job Requirements

• Design and develop scalable AI solutions integrated with business processes.
• Collaborate with cross-functional teams for AI-driven improvements and innovations.
• Integrate analytics, algorithms, and models with PowerBI tools for seamless data flow.
• Process, cleanse, and verify data integrity for analysis.
• Design and maintain a unified data layer ('Feature Factory') for ML pipelines.
• Handle ad-hoc analysis and data requests from stakeholders.
• Support existing analytical processes and meet service expectations.
• Document code and processes comprehensively.
• Prepare presentations and summaries of analysis findings for stakeholders.
• Implement and manage CI/CD pipelines for ML models for continuous integration and delivery.
• Monitor and optimize ML model performance in production environments.

Job Qualifications

• Strong Python coding skills.
• Experience with machine learning platforms (e.g., Databricks, SageMaker, Azure ML).
• Proficient in machine learning libraries (scikit-learn, TensorFlow, Keras, XGBoost).
• Advanced knowledge of statistics and data analysis tools (numpy, pandas, Matplotlib).
• Proficiency in SQL for data extraction, transformation, and analysis, including complex joins, CTEs, and aggregations.
• Experience with advanced SQL techniques like window functions, subqueries, and performance tuning.
• Experience designing and documenting machine learning architectures and pipelines.
• Proficiency with Databricks Asset Bundles, Terraform, Azure DevOps for ML workflows.
• Familiarity with MLflow for experiment tracking and model management.
• Ability to communicate technical requirements to non-technical stakeholders.
• Strong organizational skills to prioritize and meet deadlines in a fast-paced environment.

Preferred Qualifications

• 5+ years of ML Operations and/or Data Science experience.
• Experience with PowerBI development.
• Experience with Generative AI models (GPT, Claude, Gemini) and APIs.
• Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
• Knowledge of data governance and compliance practices.

We are committed to diversity and equal opportunity employment, providing reasonable accommodations for individuals with disabilities.