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:

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 role.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.  All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please email Human Resources at HR-Recruiting-Americas@Blackstone.com.

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

• Attending client meetings where you are discussing Blackstone products and/or and client questions;

• Marketing Blackstone funds to new or existing clients;

• Supervising or training securities licensed employees;

• Structuring or creating Blackstone funds/products; and

• Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis.  Please speak with your Blackstone Recruiting contact with any questions.

To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.

Salary : $175,000 - $200,000