Blackstone Data Science Engineering, Associate

| New York, NY, USA
Employer Provided Salary: 140,000-150,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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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 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 dynamic 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

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:

$140,000 - $150,000

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 [email protected].

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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345 Park Avenue, New York, NY 10154

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