Senior Data Scientist - Fintech Risk, ML & Stock Options

Upgrade; San Francisco (CA); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and stock options

Medical, dental and vision insurance

401(k) and RRSP program

Flexible PTO

Parental leave and wellness programs

Job summary

Upgrade in San Francisco seeks a data scientist to build predictive risk models and optimize offers and pricing for its Flex Pay BNPL product. You’ll extract actionable insights for product development, risk mitigation, and customer strategy.

Hybrid role with in-office Wednesdays and Thursdays, collaborating with risk, marketing, product, and engineering. Strong ML, statistics, and Python/SQL skills required.

Qualifications

• Advanced degree in a quantitative field.
• Hands-on data science experience in financial services preferred.
• Proficiency in Python and SQL with model development exposure.

Responsibilities

• Build and deploy predictive risk models and ML algorithms.
• Validate models and analyze performance factors.
• Work with cross-functional teams to define data-driven strategies.
• Analyze large datasets using SQL, Python, or similar tools.

Skills

Python

SQL

Data analysis

Communication

Documentation

Team collaboration

Education

MS/PhD in Data Science or related

Tools

Pandas

NumPy

Scikit-learn

PySpark

Tableau

Power BI

Job description

Upgrade in San Francisco seeks a data scientist to build predictive risk models and optimize offers and pricing for its Flex Pay BNPL product. You’ll extract actionable insights for product development, risk mitigation, and customer strategy.

Hybrid role with in-office Wednesdays and Thursdays, collaborating with risk, marketing, product, and engineering. Strong ML, statistics, and Python/SQL skills required.