Consumer Insight Data Science – CWM Engineering – Marcus by Goldman Sachs

Location(s) US-TX-Dallas
Job ID
2021-76051
Schedule Type
Full Time
Function(s)
Quantitative Engineer
Region
Americas
Division
Engineering
Business Unit
Core Tech
Employment Type
Employee

MORE ABOUT THIS JOB

Consumer and Wealth Management (CWM)

Across Consumer and Wealth Management (CWM), Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for consumers to better spend, borrow, invest, and save. Across CWM, our growth is driven by a relentless focus on our people, our clients, and leading-edge technology, data, and design.

 

Consumer (MARCUS BY GOLDMAN SACHS)

The firm’s Consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a startup with more than 150 years of experience. Today, we serve millions of customers across multiple products including lending, deposits, financial tools, and our partnership with Apple on Apple Card. We use innovative design, data, engineering, and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency, and simplicity. As we build a leading digital consumer bank and expand into new products and partnerships, we are looking for leaders and individual contributors to join our team.

You will be part of the data science function for Marcus cards business and the Marcus App that caters to end to end customer life cycle. This would include but is not limited to transaction data processing and understanding, customer behavior analysis, customer segmentation, and marketing targeting.

RESPONSIBILITIES AND QUALIFICATIONS

Responsibilities

As part of the data science function for Marcus cards business and the Marcus App, one should be at the forefront of a data-driven initiative to optimize decision making and improve customer experience. This role entails:

  • Good understanding of predictive models and data science techniques
  • Research and experiment with natural language processing (NLP) and machine learning (ML) algorithms and techniques
  • Manages projects from end to end design, development, and implementation
  • Build up and validate prototypes for NLP and ML problems
  • Develop effective, maintainable code in a timely fashion
  • Implement an automated unit/integration testing system to validate defect-free code
  • Conduct code reviews to ensure adherence to established coding and architectural standards
  • Using version control to collaboratively develop software
  • Ability to communicate complex analytical ideas effectively

 

Qualifications

  • Master’s degree in Computer Science, Mathematics, Physics, Statistics, Engineering or a related field
  • Strong knowledge of data structures and algorithms
  • Strong data analytical skills, problem-solving and technical skills
  • Demonstrated proficiency in developing NLP / ML systems using large data sets
  • Experience with ML techniques such as classification, clustering, recommendation, etc.
  • Proficient with SQL and experience with one or more DB query clients (e.g., Postgre, MySQL)
  • Solid experience in Python or Java
  • Ability to collaborate in a team environment, communicate effectively & influence others
  • Proactive, flexible, and ability to multi-task
  • Ability to learn quickly and adapt to projects and deadlines
  • Strong communication, presentation, and problem-solving skills

 

Preferred Qualifications

  • Experience in analyzing credit card transaction data
  • Experience in information extraction, information retrieval, question answering, or related NLP fields
  • Experience with deep learning models
  • Experience with big data tools (e.g., Hadoop, Spark)
  • D.’s Degree in Computer Science, Mathematics, Physics, Statistics, Engineering or a related field

ABOUT GOLDMAN SACHS

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