Senior Data Scientist: Revenue & Pricing Insights

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

Benefits offered by this job

Competitive salary

401(k)

Learning & development

Health insurance

Job summary

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

Ideal candidates have 5–7 years in data science or related fields, strong Python (scikit-learn, statsmodels) and SQL skills, and a Bachelor's degree. The role offers competitive compensation and benefits.

Qualifications

• 5–7 years of professional experience in data science or related fields.

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 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

Python

scikit-learn

statsmodels

SQL

Time series

Forecasting

Classification

Hyperparameter tuning

Education

Bachelor's degree

Tools

GitLab

Azure DevOps

Pandas

Job description

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

Ideal candidates have 5–7 years in data science or related fields, strong Python (scikit-learn, statsmodels) and SQL skills, and a Bachelor's degree. The role offers competitive compensation and benefits.