Senior Data Scientist - Revenue & Pricing ML

Revantage, A Blackstone Portfolio Company; Dallas (TX); On-site; USD 124,000 - 165,000; Full time

Benefits offered by this job

Competitive compensation

Work-life balance

Learning & development

Benefits

Job summary

Revantage, a Blackstone portfolio company, seeks a Data Scientist in Dallas to build and deploy ML models for revenue management and pricing. You will analyze large datasets to generate actionable insights and collaborate with cross-functional teams to align data initiatives with business goals.

The role directly influences pricing decisions and operational efficiency through advanced analytics. The ideal candidate has 5–7 years in data science or related fields, strong Python (scikit-learn,

Qualifications

• 5-7 years of professional experience in data science, machine learning, software engineering, or related fields.
• Proven expertise in building ML models, including time series forecasting and classification.
• Experience in fast-paced environments with tight deadlines and multiple projects.
• Ability to code review and collaborate within a team.

Responsibilities

• Build and deploy ML models to optimize revenue management and pricing strategies.
• Analyze large datasets to uncover insights and develop actionable recommendations.
• Collaborate with non-data teams to align data initiatives with business goals.
• Continuously evaluate model performance through testing and tuning.
• Document methodologies and findings for varied audiences.

Skills

Python

SQL

GitLab/Azure DevOps

Time series analysis

Statistics

Machine learning

Team collaboration

Education

Bachelor's degree

Master's or Ph.D. preferred

Tools

scikit-learn

statsmodels

SQL tooling

GitLab/Azure DevOps

Job description

Revantage, a Blackstone portfolio company, seeks a Data Scientist in Dallas to build and deploy ML models for revenue management and pricing. You will analyze large datasets to generate actionable insights and collaborate with cross-functional teams to align data initiatives with business goals.

The role directly influences pricing decisions and operational efficiency through advanced analytics. The ideal candidate has 5–7 years in data science or related fields, strong Python (scikit-learn,