Senior Data Scientist – Credit Expert
Plaid
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $174,000 - $260,000 per year
Job Level
Senior
Tech Stack
AWSPythonSQL
About the role
- Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights
- Identifying useful signals that can be fed into machine learning models
- Informing and influencing product and engineering teams through your data analysis and presentations
- Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
- Championing a data-first approach toward decision-making across the entire organization
Requirements
- 5-10 years years of industry experience in a financial services Data Science role
- Deep familiarity with SQL and python
- Experiencing constructing models in a regulated industry
- Familiarity with the AWS stack
- Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing
- Proven ability to tailor your solutions to business problems in a cross-functional team
- Ability to code and iterate independently in Python to conduct exploratory data analysis
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
Benefits
- Medical
- Dental
- Vision
- 401(k)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
quantitative analysisdata miningdata visualizationSQLPythonmachine learningclassificationclusteringoptimizationnatural language processing
Soft skills
influencingdata analysispresentationdecision-makingtailoring solutionscross-functional collaborationindependent codingexploratory data analysis