Our client, a prominent player in the field of data science and analytics, is seeking a Data Science Engineering Associate to join their team. As part of a dedicated group focused on leveraging advanced analytics and statistical methods, you will collaborate with a team of experts to drive operational efficiencies and identify new value sources.

Responsibilities:

• Design and build a robust data science infrastructure platform aimed at enhancing the adoption of data science across portfolio companies.
• Lead in the design and implementation of cloud architecture, data engineering infrastructure, and AI modeling best practices.
• Collaborate closely with both the Portfolio Operations Blackstone Data Science team and the Blackstone Technology Innovations group to scale core infrastructure.
• Develop data science applications utilizing cutting-edge cloud technologies and modeling techniques.
• Implement software engineering best practices to convert ad hoc analyses into production-quality code.
• Act as a technical lead on projects, effectively communicating complex concepts to both technical and non-technical stakeholders.

Qualifications:

• Bachelor's degree in a technical discipline such as computer science, data science, or engineering.
• 3+ years of relevant experience in software engineering, data engineering, or development operations.
• Proficiency in programming languages including Python and SQL, with experience in strongly typed or functional languages being advantageous.
• Familiarity with cloud technologies, CI/CD, Kubernetes, Containers, and Terraform.
• Foundation in statistics and mathematics.
• Strong analytical skills and a desire to tackle technical challenges.
• Excellent communication and project management abilities.
• Capacity to work independently and as part of a team, meeting deadlines with minimal supervision.
• Previous experience in the financial services industry is not required.

Expected Annual Base Salary Range: $140,000 - $150,000

Please note that the responsibilities and qualifications outlined above may not be exhaustive, and additional duties may be required at the discretion of the employer.