Analytic Scientist I

FICO•Novato, CA

2d•Hybrid

About The Position

FICO is hiring an Analytic Scientist I to develop and enhance FICO Scores using current data and decisioning techniques. The role involves designing exploratory analyses and predictive models to address business problems, supporting products through analytic investigations and content for internal teams, clients, sales, and client materials, and clearly documenting and communicating methods and results to technical and non-technical colleagues. 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. The targeted base pay range is $88,000 to $121,000, depending on the candidate’s knowledge, skills, and experience.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another quantitative science field.
Hands-on academic or industry experience building predictive models on real-world data, including data cleaning and statistical analysis of large datasets.
Exposure to financial services or credit data, or a similar relevant industry.
Proficiency in one or more of R, Perl, Python, SAS, SQL, Java, C, or C++.
Familiarity with basic software design principles and coding standards or best practices.
Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
Intellectual curiosity, motivation, self-starting ability, and strong potential to learn new concepts quickly and adapt in a fast-paced environment.

Nice To Haves

Knowledge of or exposure to clustering, classification and regression trees, random forests, gradient boosting algorithms, time series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, or SVM.

Responsibilities

Develop and enhance FICO Scores using the latest data and state-of-the-art decisioning techniques.
Design and develop exploratory analyses and predictive models to solve business problems.
Assess historical data for modeling suitability, clean data, identify patterns, create variables, define sampling criteria and performance definitions, and select variables.
Support new and existing products through analytic investigations for internal teams and clients.
Create analytic content for sales and client materials.
Thoroughly document methods and results and explain them clearly to technical and non-technical colleagues.