Portfolio Operations - Data Science, Engineering Associate

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 $881 billion 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.

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 data science tools and infrastructure to enable our team to use data science to make better investment decisions and accelerate growth at our companies. 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.

You will play a key role in accelerating an evolution within Blackstone and its portfolio companies by applying data science techniques and integrating novel sources of information. From a technical 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 the firm.

This is a hybrid 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 must and experience with software development operations technology like AWS, Containers, Kubernetes and common CI/CD processes are 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 statistics and mathematics
• Experience with analytical methodologies and desire to solve novel technical challenges
• Strong communication and project management skills as a technical lead on projects
• Excellence in balancing multiple projects and efficiently meeting goals in a fast-paced environment • Ability to communicate technical concepts to non-technical audiences effectively both orally and in writing.
• Self-starter who can work independently and meet deadlines with minimal oversight
• Ability to work independently as well as on a team
• No previous experience in the financial services industry is required

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.