What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.
  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.  

Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and incident management.  The team also builds and operates products for order management, disaster recovery testing, and developer onboarding.

TEAM OVERVIEW
The Machine Learning & Analytics team in PRX uses generative AI, deep learning, predictive modelling, anomaly
detection, time series forecasting and other statistical modelling techniques on big and fast data to reduce the risk
and cost of managing the firm’s massive compute infrastructure and applications.
 

ROLE AND RESPONSIBILITIES
The responsibilities of an individual in this role include:
• Understanding the problem space to identify high impact business problems and formulate them as
machine learning or statistical modelling tasks.
• Developing performant, scalable, and resilient production-grade models compliant with model development
standards.
• Collaborating closely with other application developers and data engineers to design and build robust data
pipelines and deployment frameworks.
• Deploying models in production and monitor model performance to ensure delivery of desired business
impact.
• Effectively communicating the impact and the complexity of these models in a simple manner broadly.\

QUALIFICATIONS
A Bachelor’s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics,
Engineering, or in a related quantitative discipline), with 6+ years of experience as an applied data scientist (or
equivalent).

ESSENTIAL SKILLS
• Strong analytical and problem solving skills along with strong understanding of applied statistics and
fundamental ML principles and techniques.
• Ability to apply fundamental algorithms and data structures to efficiently solve computational problems.
• Working knowledge of more than one programming language (Python, R, Java, C++ etc).
• Hands-on experience with any Open-Source distributed data processing (like streaming, in-memory
computation, distributed storage, etc) frameworks (eg. Apache Kafka, Hazelcast, Apache HBase, Apache
Spark etc.) is a plus.
• Hands-on experience with Generative AI and deep learning frameworks like Tensorflow, Pytorch is a plus.
• Ability to stay commercially focused and to always push for quantifiable commercial impact.
• Strong work ethic, a sense of ownership and urgency.
• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner.
• Proven track record of successfully leading projects and fostering a collaborative environment through
effective mentorship.

ABOUT GOLDMAN SACHS
  At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
  We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 
  We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
  © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity