Data Scientist for Marcus Card Business and App
6 days ago
We are seeking a talented Data Scientist to join our Consumer and Wealth Management team at Goldman Sachs. This role is part of the data science function for Marcus cards business and the Marcus App that caters to end-to-end customer life cycle.
About Our TeamAt Goldman Sachs, we help 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. Our consumer business provides digital solutions for consumers to better spend, borrow, invest, and save.
Your Responsibilities- You will be at the forefront of a data-driven initiative to optimize decision making and improve customer experience.
- You will research and experiment with natural language processing (NLP) and machine learning (ML) algorithms and techniques.
- You will manage projects from end-to-end design, development, and implementation.
- You will build up and validate prototypes for NLP and ML problems.
- You will develop effective, maintainable code in a timely fashion.
- You will implement an automated unit/integration testing system to validate defect-free code.
- You will conduct code reviews to ensure adherence to established coding and architectural standards.
- You will use version control to collaboratively develop software.
To succeed in this role, you should have:
- A 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.
We offer a competitive salary, estimated to be $140,000-$180,000 per year, based on location and experience. Additionally, we provide a range of benefits, including health insurance, retirement plans, and employee stock purchase plan. You will also have opportunities for career growth and professional development.
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