Senior Analytic Scientist (Credit Risk)

Location: San Rafael, CA; hybrid role requiring onsite work at the Novato, CA office at least 3.5 days per week, with the remaining time eligible to be worked remotely.

Targeted base pay: $140,000–$220,000 per year.

Company

hirify.global is a global analytics software company providing credit risk, fraud detection, lending, and decision-support solutions to businesses in more than 100 countries.

What you will do

• Work with large real-world datasets and ensure data quality across collection, acquisition, normalization, and transformation.
• Research and select statistical methods and computational algorithms for analytic problems.
• Lead project teams building analytic models and tools, coordinating with internal teams to support integration and deployment.
• Support model go-lives through production data validation and analysis of models in production.
• Use data-mining methods to investigate model behavior and resolve client problems during meetings, construction, pre-sales, and post-implementation support.

Requirements

• Bachelor’s degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another natural science field.
• Senior-level hands-on experience building predictive models and mining data.
• Experience building B2C or B2B analytic solutions and analyzing large datasets using data-cleaning and statistical techniques.
• Demonstrated experience with at least two of R, SQL, SAS, Java, Python, C++, or C.
• Proven experience leading project teams and mentoring junior team members.
• Experience with U.S. Credit Bureau data is highly preferred.
• Experience with neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, or linear/non-linear optimization is highly preferred.
• Prior experience with financial, banking, or consumer lending data is preferred.

Culture & Benefits

• Inclusive culture centered on ownership, customer focus, and earning respect.
• Professional development through learning experiences and opportunities to use individual strengths.
• Competitive compensation, benefits, and rewards programs.
• People-first work environment supporting work-life balance, employee resource groups, and social events.