FICO · 1 month ago
Analytic Science, Scientist I
FICO is a leading global analytics software company that helps businesses make better decisions. The Scientist I in Analytic Science will participate in compliance analytic work, developing and evaluating predictive models to solve business problems using data mining and predictive modeling techniques.
AnalyticsBig DataCollection AgencyConsultingFinancial ServicesFraud DetectionPredictive AnalyticsSoftware
Responsibilities
Designs and develop state-of-the-art, data-driven exploratory analysis as well as predictive and decision models to solve business problems
Build and evaluate predictive models to be deployed in production systems, or for research. This includes the analysis of large amounts of historical data, determining suitability for modeling, data clean-up, pattern identification and variable creation, selection of sampling criteria and performance definition, and variable selection
Participate in high impact projects pertaining to predictive model development and compliance analytics
Experiment with different types of algorithms and models, analyzing performance to identify the best algorithms to employ
Assist with technical product support for new or existing products/services; this includes, but is not limited to, compliance-related analyses, production of sales collateral or ad-hoc investigations initiated by internal or external clients
May participate in pre-sales support and/or provide post-implementation support
May deliver formal presentations of work to clients as well as key internal stakeholders
Qualification
Required
Bachelor's degree in Applied Mathematics, Statistics, Operations Research, Engineering, Computer Science or related technical discipline. Course work in probability, statistics and quantitative methods required
Experience with one or more of R, Python, SAS, SQL, and Java/C++, experience with tools for machine learning and unstructured data analysis (e.g., H2O, Splunk, TensorFlow, etc.) and familiarity with basic software design principles and coding standards and best practices
Experience analyzing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
Thrives in a dynamic environment and embraces continuous learning opportunities
Preferred
Hands on related experience (academic or industry gained) in predictive modeling and data mining (Highly Preferred)
Experience with distributed computing environments (e.g., Spark, Hadoop) and cloud-based environments and services (e.g., AWS) would be a plus
Prefer knowledge in some of the following: clustering, classification and regression trees, random forest and gradient boosting algorithms, time series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, SVM
Benefits
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
Company
FICO
Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO.
H1B Sponsorship
FICO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (30)
2024 (18)
2023 (22)
2022 (25)
2021 (45)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$1.5B2025-05-08Post Ipo Debt· $1.5B
2021-05-05Acquired
2003-01-10IPO
Recent News
2026-01-06
Company data provided by crunchbase