Blackstone Data Science Engineering, Associate

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 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.
 

Blackstone Data Science Team Description:

Blackstone’s Portfolio Operations Group is a team of dedicated executives and advisors with decades of combined operational experience and expertise, who together form a world-class operating platform that partners with Blackstone’s investment and portfolio company management teams to advise and support the firm’s portfolio companies across a wide range of operational initiatives, corporate functions, and business subject areas. The group aims to leverage Blackstone’s scale and expertise to support management in driving transformational growth and value-creation for all stakeholders across the investment lifecycle.

Blackstone Data Science (“BXDS”) is the firm-wide team that uses advanced analytics and statistical methods to make us better investors and business operators. It consists of data scientists, engineers, and strategists who collaborate closely to analyze complex datasets, develop predictive and analytical models, build production-quality data flows, and advise on smarter data utilization. BXDS is part of the firm’s Portfolio Operations Group. They work hand-in-hand with business units to drive operating efficiencies and identify new sources of value.

Job Title: BXDS Engineering, Associate

Blackstone is looking to hire a data science engineering associate to be an integral member of BXDS. You will be focused on designing and building a data science infrastructure platform to accelerate the adoption of data science at our portfolio companies to drive value.  You will play a key role in designing and implementing the cloud architecture, data engineering infrastructure, data science tooling, and AI modeling best practices and vendors we will use to solve a diverse set of operational challenges.  You will work across and be highly integrated into both the Portfolio Operations Blackstone Data Science team and the Blackstone Technology Innovations group to build the core infrastructure that powers the Blackstone Data Science team to scale.   

From a technical skills perspective, you will be comfortable building data science applications with the latest cloud technologies and data science modeling techniques. Intellectually, the successful candidate will be excited by implementing software engineering best practices to convert ad hoc analysis to production quality code to increase the scale and reach of data science across our portfolio companies.   

This is a multi-faceted role that combines analytics, product, and engineering. The ideal candidate is a skilled computer programmer and data practitioner who has experience designing and building production-quality systems. Mastery of Python, SQL, and software engineering best practices are musts and experience with software development operations technology like AWS, Containers, Kubernetes and common CI/CD processes is required.

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.

Qualifications include:

• Undergraduate degree in a technical discipline (e.g. computer science, data science, applied math, operations research, or engineering) required

• 3+ years of relevant experience in a data driven setting as a software engineer, data engineer, or development operations engineer

• Expert proficiency in programming and querying languages including Python and SQL, strongly typed and/or functional languages a plus

• Experience with cloud technologies and best practices with the following technologies: CI/CD, Kubernetes, Containers, and Terraform

• Foundation in statistic