Engineering - TechRisk - Data Scientist - Analyst - New York

Engineering Organization in Goldman Sachs includes the Technology and Strategist groups across various business functions. Our engineers are responsible for building and deploying innovative technical and quantitative solutions for our clients and our firm. As Foundational Infrastructure, we run the services that underpin the firm. We provide transparent management of infrastructure services and products onsite and in the cloud, with a focus on security, efficiency, and resilience. Our aim is to accelerate our Businesses and Engineers, whilst optimizing for end-to-end delivery appropriate to the firm’s stack, scale, and investment.

Are you a data scientist looking for a role where you can have broad-reaching positive impact and enthusiastic about applying your analytics skillset to broad range of problems in engineering? 

How will you fulfill your potential? 

• Generate and present concise engineering and business insights to help organization make data driven decisions. 
• Collaborate with subject matter experts across multiple pillars of engineering to derive requirements for analytics and metrics.
• Architect and build an end-to-end analytics platform that is scalable and reusable and will enable rapid development of analytics and metrics.
• Engage various stakeholders to locate, ingest and model siloed data sets that are essential for a comprehensive data analytics function.
• Expand the team’s analytic capabilities by building advances statistical models, including predictive models.
• Drive all aspects of the data lifecycle including data ingestion, cleanup, modeling, training, and evaluation.
• Design, develop, test, and deliver complex analytics on large data sets and unstructured log data.

Basic Qualifications

• 1-3 years of relevant work experience in projects involving large scale data analytics and machine learning.
• Proven knowledge of industry standard data analytics languages such as Python, R and SQL.
• Practical data wrangling skills (SQL, Python, R).
• Experience in data visualization using industry standard tools (Tableau, Plotly, ggplot2, RShiny and etc.).
• Experience in data science notebook technologies (Jupyter, Zeppelin, RMarkdown).
• Knowledge of data analytics stack in cloud, preferably AWS.
• Highly motivated self-starter who can provide thought leadership in data science.
• Responsive to challenging tasks.
• Ability to document and explain technical details in a concise and impactful manner.
• Strong sense of ownership and driven to manage tasks to completion.

Preferred Qualifications

• Experience in Financial Services
• Experience in Cloud Analytics stack
• Bachelors in Computer Science, or any other Engineering Discipline or Mathematics.
• Excellent oral, written, and presentation communication skills.

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., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Salary Range

The expected base salary for this New York, New York, United States-based position is $90000-$150000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.