Senior Data Scientist: Revenue Optimization & ML Leader

Vantage Oleochemicals, Inc; Dallas (TX); Hybrid; USD 124,000 - 165,000; Full time

Benefits offered by this job

Hybrid Work Policy

Productivity Hours – weekly meeting‑f​

Summer Fridays

Work From Anywhere Month

Learning & development opportunities

Health insurance and wellness benefits

Job summary

Revantage, a Blackstone Real Estate portfolio company, is seeking a Data Scientist to develop and deploy ML models that optimize revenue management and pricing strategies. You will analyze large datasets to generate actionable insights and collaborate across functions to align data initiatives with company goals.

Ideal candidates bring 5–7 years in data science or related fields, strong Python and SQL skills, and experience with time series forecasting and model evaluation.

Qualifications

• 5–7 years of professional experience in data science, machine learning, software engineering, or related fields.
• Proven expertise in building machine learning models, including time series forecasting and classification.
• Experience in fast-paced environments with tight deadlines and multiple projects.

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 decisions.
• Collaborate with peers outside the data science team to align data initiatives with business goals.

Skills

5–7 years data science

Python (scikit-learn)

SQL

GitLab/Azure DevOps

Time series forecasting

Classification models

Statistics

Team collaboration

Education

Bachelor’s degree in relevant field

Tools

GitLab/Azure DevOps

SQL

Python

scikit-learn

statsmodels

Job description

Revantage, a Blackstone Real Estate portfolio company, is seeking a Data Scientist to develop and deploy ML models that optimize revenue management and pricing strategies. You will analyze large datasets to generate actionable insights and collaborate across functions to align data initiatives with company goals.

Ideal candidates bring 5–7 years in data science or related fields, strong Python and SQL skills, and experience with time series forecasting and model evaluation.