Senior Data Scientist

Revantage, A Blackstone Portfolio Company

Data Scientist optimizing revenue management and pricing strategies for Revantage, collaborating to align data initiatives with business goals and improving decision-making through analytics.

Posted 6/4/2026full-timeDallas • Illinois, Texas • 🇺🇸 United StatesSenior💰 $123,684 - $164,868 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonScikit-LearnSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance coverage
Retirement savings plan
Paid holidays
Paid time off (PTO)
Competitive salary
Overall compensation
401(k)
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningtime series forecastingclassificationPythonscikit-learnstatsmodelsSQLevaluation metricshyperparameter tuningstatistics

Soft Skills

collaborationteamworkcommunicationproject managementproblem-solving