Analytic Scientist II

FICO•Novato, CA

2d•Hybrid

About The Position

FICO is hiring an Analytic Scientist II to design and develop data-driven exploratory analyses, predictive models, and decision models for business problems, particularly in the credit risk space. The role involves analyzing large volumes of historical data, assessing data suitability for modeling, cleaning data, identifying patterns, creating and selecting variables, and defining sampling criteria and performance measures. The position also provides technical product support for new and existing products and services, including creating sales collateral and conducting investigations requested by internal or external clients. The scientist oversees project timelines, guides junior analysts, and may present work formally to clients. This is a hybrid role based in Novato, California. The employee must work onsite at least 3.5 days per week, with the remaining time eligible to be worked remotely.

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.
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 or exposure to analytical methods such as 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 best practices.

Nice To Haves

Experience working with U.S. Credit Bureau data (highly preferred).
Prior experience working with financial, banking, or consumer lending data.
Experience with distributed computing environments such as Spark or Hadoop.
Experience with cloud-based environments and services such as AWS.

Responsibilities

Design and develop data-driven exploratory analyses, predictive models, and decision models to solve business problems.
Analyze large amounts of historical data and determine its suitability for modeling.
Perform data cleanup, pattern identification, variable creation and selection, and selection of sampling criteria and performance definitions.
Assist with technical product support for new or existing products and services.
Produce sales collateral and conduct ad-hoc investigations initiated by internal or external clients.
Oversee project timelines and provide guidance to junior analysts.
Deliver formal presentations of work to clients when needed.