Sr. Associate, Data Scientist

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

Who We Are

Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.

With a corporate purpose of ‘In Pursuit of Better,’ Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company’s footprint extends across North America, Europe and Asia Pacific.

Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.

What We Value: Our Culture

Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them todo their best work.

At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees’ voices and support an inclusive culture.

Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer.

Our culture is built on our shared core values and commitment to be:

• Learners – We learn from our challenges and successes

• Leaders – We commit to continuous improvement

• Enthusiasts – We face challenges with optimism and believe anything is possible

• Achievers – We expect high standards for ourselves and enable the success of our teams

• Partners – We deliver value and positive impact to our partners

Grow your career with us. As a member of our team, you’ll gain hands‑on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.

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.

How You Add Value

• 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.

What You Bring To The Role

Required:

• 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.

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 is a plus.

• Advanced degree (master’s or Ph.D.) in a relevant field is a plus.

Base Compensation Range:

$123,684.00 To $164,868.00 Annually. This represents the presently‑anticipated low and high end of the Company’s base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits:

The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

• Competitive salary, overall compensation, and 401(k)

• Work‑life balance offerings include:

• In‑house and external learning & development opportunities

• Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.

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 [e-mail]