Note: The job is a remote job and is open to candidates in USA. Revantage is a global provider of corporate services for Blackstone Real Estate portfolio companies. The Data Scientist will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets, and generate actionable business insights. The role collaborates cross-functionally to improve decision-making and operational efficiency through advanced analytics.

Responsibilities

• Build and deploy machine learning models to optimize revenue management and pricing strategies
• Analyze large datasets to uncover insights and develop actionable recommendations for business decision-making
• Collaborate with peers outside the data science team to align data science initiatives with business goals
• Continuously evaluate and improve model performance through testing, tuning, and validation
• Document processes, methodologies, and findings for both technical and non-technical audiences

Skills

• 5–7 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions
• Proven expertise in building machine learning models, including time series forecasting and classification, optimizing business operations and decision-making
• Experience working in fast-paced environments with tight deadlines, managing multiple projects simultaneously
• Demonstrated ability to work effectively within a team, producing and reviewing code written by peers
• Bachelor's degree in relevant field
• Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels
• Strong expertise in SQL for data extraction and transformation
• Familiarity with GitLab/Azure Devops for collaborative development and version control
• Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models
• Solid grounding in statistics for inference and analysis
• Familiarity with time series analysis, regression models, and econometric techniques
• Familiarity with revenue management theory and pricing strategies is a plus
• Advanced degree (master's or Ph.D.) in a relevant field is a plus

Benefits

• Health insurance coverage
• Retirement savings plan
• Paid holidays
• Paid time off (PTO)
• Discretionary bonus and incentive compensation on an annual basis
• Hybrid Work Policy
• Productivity Hours – weekly meeting-free work time
• Summer Fridays
• Work From Anywhere Month
• In-house and external learning & development opportunities
• Generous health insurance and wellness benefits

Company Overview

Company H1B Sponsorship