Sr. Associate, Data Scientist

Why This Role Is Valuable The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross-functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision‑making and operational efficiency through advanced analytics. It offers the chance to contribute to high‑visibility projects that drive measurable value across the organization. Key Responsibilities Build and deploy machine learning models to optimize revenue management and pricing strategies. Analyze large datasets to develop models that can drive more informed and consistent 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. Qualifications 3–6 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 predictive and forecasting models, optimizing business operations and decision‑making. Experience working in fast‑paced environments while producing rigorous, well‑documented work. Demonstrated ability to work effectively within a team, producing and reviewing code written by peers. Bachelor’s degree in a relevant field, e.g., statistics, computer science, data science. Technical Skills 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. Preferred Familiarity with revenue management theory and pricing strategies. Experience in real‑estate finance or operations. Advanced degree (master’s or Ph.D.) in a relevant field. Compensation Base Compensation Range: $123,684.00 To $164,868.00 Annually. Total Direct Compensation: This job is also eligible for discretionary bonus and incentive compensation on an annual basis. Benefits Health insurance coverage. Retirement savings plan. Paid holidays and paid time off (PTO). Competitive salary and 401(k). Hybrid Work Policy. Productivity Hours – weekly meeting‑free work time. Summer Fridays. Work From Anywhere option. Month In‑house and external learning & development opportunities. Generous health insurance and wellness benefits. EEO Statement Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email . #J-18808-Ljbffr