Analytic Scientist II (Credit Risk)

Location: Hybrid role based in Novato, California, United States; onsite at the Novato office at least 3.5 days per week, with the remaining time eligible for remote work.

Company

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

What you will do

• Design and develop exploratory analyses, predictive models, and decision models to solve business problems.
• Analyze large historical datasets, assess modeling suitability, clean data, identify patterns, create and select variables, define samples, and establish performance measures.
• Provide technical product support through sales collateral and ad-hoc investigations for internal and external clients.
• Oversee project timelines and guide junior analysts.
• Present analytical work formally to clients when required.

Requirements

• Bachelor’s degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another natural science field.
• Hands-on experience building predictive models and mining data, preferably with financial, banking, or consumer-lending data.
• Demonstrated proficiency in one or more of R, Python, SAS, SQL, and Java/C++.
• Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
• Knowledge of areas including clustering, classification and regression trees, random forests, gradient boosting, time series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regression, inference, estimation, experimental design, neural networks, or SVM.
• Experience with machine-learning and unstructured-data analysis tools such as H2O, Splunk, or TensorFlow.
• Familiarity with basic software design principles, coding standards, and development best practices.

Nice to have

• Experience working with U.S. Credit Bureau data.
• Experience with distributed computing environments such as Spark or Hadoop.
• Experience with cloud-based environments and services such as AWS.

Culture & Benefits

• Inclusive, people-first environment guided by values including ownership, customer focus, and respect.
• Competitive compensation, benefits, and rewards programs.
• Professional development through learning experiences and opportunities to leverage individual strengths.
• Work/life balance, employee resource groups, and social events.