Data Scientist, AVP - People Analytics

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 Follow @blackstone on LinkedIn, X, and Instagram.

Blackstone’s People Analytics team is devoted to maintaining and expanding the high-caliber workforce of the world’s largest alternative asset manager. We are building the next generation of human resource data systems, using best-in-class data science and analytics to optimize all aspects of the firm’s workforce.

The Data Science team leverages Data Science, AI, and advanced analytics to provide actionable insights and solutions to help our partners in HR and Strategic Incentives Group make more effective, strategic, and cost-effective decisions with data. This role will report directly to and work in partnership with the Vice President of People Data Science.

Primary responsibilities include:

Conduct advanced statistical analyses and research focused on talent, recruiting, and organizational effectiveness, leveraging quantitative and qualitative data

Develop and implement predictive models to identify patterns and trends in hiring, employee behavior, performance and retention

Apply analytical and problem-solving skills to navigate ambiguity and develop recommendations for better business decisions

Design, develop, and deliver compelling reporting solutions and dashboards to enhance decision-making for our Businesses and HR partners

Continuously improve our reporting and analytics framework by contributing to the roadmap, documenting internal processes, and standardizing metrics and definitions

Build tools and audits to enhance business intelligence and improve data integrity and efficiency in reporting processes

Qualifications:

The successful candidate will possess:

A strong interest in Human Resources/IO Psychology and the drive to help us build a more effective workforce

4+ years of professional experience in data science, with a strong emphasis on providing analytics solutions directly to clients

3+ years of experience in Python or R conducting statistical analysis or developing predictive models

3+ years of experience using SQL working with relational databases and data warehousing

Strong understanding of statistical concepts (correlation, regression, T-test, ANOVA), research methods and experimental design

Experience with supervised and unsupervised learning techniques, such as regression, classification, clustering, and dimensionality reduction

Strong communication and data presentation skills

Some experience with LLM/text analysis, or an interest in learning

Bachelor’s or Master’s Degree in Data Science, Statistics, Math, Computer Science, or related

Preferred, but not required:

Familiarity with version control systems, such as Git

Experience with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hadoop)

Knowledge of technical documentation and project planning techniques

Knowledge of data visualization tools like Tableau, Power BI, or Python visualization libraries

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:

$125,000 - $180,000

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 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 .

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.

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