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Data Science Summer 2024 Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • New York

Requirements

  • Currently enrolled as a rising junior or senior pursuing a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or related fields
  • Highlight motivated with excellent attention to detail and organizational skills
  • Strong analytical and quantitative skills.
  • Effective communication skills and ability to work within a team.

Responsibilities

  • Data Analysis Expertise: Apply your adept analytical skills and leverage statistical methods to dissect both structured and unstructured data, employing scalable techniques that uncover valuable insights.
  • Strategic Problem Translation: Skillfully translate intricate business scenarios into succinct data problems. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances.
  • Machine Learning Mastery: Exhibit your prowess in crafting scalable machine learning models. Innovatively design, develop, and deploy predictive as well as inferential models, contributing to the deployment of impactful solutions.
  • End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. Your adeptness will ensure efficient problemsolving and the realization of desired outcomes.
  • Autonomous Multitasking: Exhibit self-reliance and autonomy while remaining deeply engaged across multiple concurrent projects, showcasing your ability to thrive in a dynamic environment.
  • Knowledge Sharing Engagement: Participate actively in internal initiatives such as Lunch & Learn events, fostering collaborative learning and contributing your insights to diverse practice areas.
  • Team Synergy: Collaborate seamlessly with fellow interns, lending your skills to group projects and promoting a cohesive and productive team dynamic.
  • Flexibility and Initiative: Embrace the opportunity to tackle ad-hoc projects, showcasing your adaptability and proactive approach in addressing unforeseen challenges.

A global leader in alternative investing with approximately $60 billion in assets

Finance
Industry
501-1000
Employees
1992
Founded Year

Mission & Purpose

About Cerberus Capital Management, L.P. Founded in 1992, Cerberus is a global leader in alternative investing with approximately $60 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. About Cerberus Operations and Advisory Company, LLC The proprietary operations affiliate of Cerberus Capital Management, L.P., Cerberus Operations and Advisory Company, LLC (COAC) is one of the largest and most experienced teams of operating executives and functional experts in alternative investing. COAC consists of approximately 110 professionals from a wide spectrum of industries and business disciplines that assist Cerberus by sourcing opportunities, conducting highly informed due diligences, executing acquisitions, and improving the performance of portfolio investments. COAC executives often hold senior leadership and director positions at Cerberus’ portfolio companies, and COAC teams are regularly deployed to provide practical assistance to help drive operational and strategic transformations. About Cerberus Technology Solutions, LLC Cerberus Technology Solutions, LLC (CTS) is an operating company and subsidiary of Cerberus Capital Management focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations. CTS employs expert technologists that work closely with Cerberus investment and operating professionals to apply new technologies, realize new sources of revenue and value creation, and accelerate technological transformation and differentiation.

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