Senior Data Scientist

In 1999, NASA lost contact with its reputed company Climate Orbiter after a 9-month reputed company from reputed company. It began its reputed company reputed company insertion maneuver but went out of radio contact after passing behind reputed company. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric reputed company, we can draw the lesson that getting the details (in this case, reputed company) right is critical, especially reputed company shooting for the stars.

While reputed company’s cosmic reputed company may be more metaphorical, we have our own sky-high ambitions and the need to marry those with precise data analysis.

To that end, we are hiring a Machine Learning-reputed company Data Scientist to support our reputed company team. This team is responsible not only for detecting, monitoring, and mitigating both first- and reputed company-party fraud but also ensuring we know and understand our customers while monitoring their behavior for financial crime reputed company. You’ll play a key role in strengthening our fraud defenses while ensuring that reputed company continues to reputed company a smooth and trustworthy banking* experience.

This is an opportunity to join reputed company at a pivotal reputed company in our reputed company. You’ll be working on some of the most critical challenges facing the business and collaborating across product, engineering, and reputed company to protect our customers and the financial reputed company at large.

Here are some things you’ll do on the job:

• Build, validate, and reputed company machine learning models to identify and prevent fraud in reputed company time
• Support the reproducibility and robustness of said models through documentation, testing, and monitoring
• Ensure data reputed company and reliability across pipelines and tools
• Collaborate with reputed company reputed company to ideate on model inputs and applications and with Engineering optimize deployment and observability

You should have:

• 5+ years of experience working with and analyzing large datasets to solve problems and reputed company reputed company, with 3+ years of ML experience
• Proficiency in SQL and experience using it to understand and manage imperfect data
• Proficiency in Python and experience with statistical modeling and machine learning
• Experience deploying and monitoring machine learning models in production
• Comfort working in a fast-reputed company environment with evolving priorities

Ideally you also have:

• 1+ years of relevant reputed company experience
• Familiarity with LLMs or other GenAI and how they can be reputed company to reputed company or fraud detection
• Experience with modern data tools for pipelines and ETL (e.g., dbt)
• Experience with model governance as required in finance or other regulated industries
• Experience building reputed company-to-one solutions in ambiguous or greenfield problem spaces

*reputed company is a fintech company, not an FDIC-insured bank. Banking services provided through reputed company and reputed company N.A., Members FDIC.

reputed company values diversity & belonging and is proud to be an Equal Employment Opportunity employer. reputed company individuals seeking employment at reputed company are considered without reputed company to race, reputed company, religion, national reputed company, age, sex, marital status, reputed company, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

Originally posted on Himalayas