Blackstone Data Scientist – Vice President

Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, Twitter, and Instagram.
 

Business Group: Blackstone Data Science (BXDS)

Business Group Overview:

Blackstone Data Science (BXDS) is a team of data scientists, strategists, and engineers that uses data to “move the needle” with our portfolio companies and deal teams. We do this by analyzing complex datasets, developing predictive and analytical models, and helping the firm use data more effectively.

Job Title: Blackstone Data Scientist – Vice President

Job Responsibilities:

• Responsible for specific data science initiatives launched within the firm’s real estate portfolio, including building machine learning models to analyze publicly available market data and internal data to detect price trends and inform business decisions.
• Work closely with companies within the Blackstone portfolio to understand their objectives and ensure that data science solutions are aligned.
• Involved in frequent brainstorming sessions, interviews with stakeholders, and knowledge-sharing about the data science models.
• Train machine-learning models and evaluate their results.
• Perform exploratory analysis of the data and examine different model architectures.
• Assess the model’s results and use this information to make improvements.
• Build reliable tools that can serve the needs of portfolio companies.
• Perform other duties as needed.

Qualifications

Education:

• Bachelor’s degree (or foreign equivalent) in Data Analysis, Computational Analysis, Statistics, Economics, or a related field required.

Experience:

• Minimum 3 years of experience in job offered or related occupations required.
• Minimum of 3 years of experience building and evaluating quantitative and statistical models on financial and economic data.
• Minimum of 3 years of experience writing code in statistical software, e.g., Python, R, Stata, or SAS to analyze and visualize data.
• Minimum of 3 years of experience critically reviewing, fact-checking, and replicating technical analyses.
• Minimum of 3 years of experience drafting memoranda and reports in Microsoft Word to communicate the results of complex data analyses to stakeholders.
• Minimum of 3 years of experience developing materials in Microsoft PowerPoint for internal and external audiences.
• Minimum of 3 years of experience managing projects, which includes defining timelines, delegating and tracking tasks among team members, communicating directly with external stakeholders, and collaborating with subject matter experts.
• Minimum of 3 years of experience working with geospatial data in Python, R, or ArcGIS.
• Experience can be concurrent.

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.  Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$175,000 - $200,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.

Additional compensation: Base salary does not include other forms of compensation or benefits offered in connection with the advertised ro