Principal Scientist, Drug Metabolism and Pharmacokinetics
MSD
Senior Applied Scientist
Motive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $138,000 - $200,000 per year
Job Level
Senior
Tech Stack
PySparkPythonSQL
About the role
- Work closely with Risk, Product and Engineering teams to build, improve and implement underwriting and fraud models
- Derive insights from complex data sets to identify credit and fraud risk
- Apply statistical and machine learning techniques on large datasets
- Evaluate the utility of non-traditional data sources
Requirements
- Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
- 7+ years experience in data science, machine learning, and data analysis - specifically in the Credit Risk space
- Expertise in applied probability and statistics
- Experience building credit risk and fraud models
- Deep understanding of machine learning techniques and algorithms
- End-to-end deployment data-driven model deployment experience
- Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus
Benefits
- health insurance
- pharmacy benefits
- optical care
- dental care benefits
- paid time off
- sick time off
- short term disability coverage
- long term disability coverage
- life insurance
- 401k contribution
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningdata analysisapplied probabilitystatisticscredit risk modelingfraud modelingSQLPythonR
Certifications
Bachelor's degreeMaster's degree
