Senior Analytic Scientist
FICO•San Rafael, CA
•Hybrid
About The Position
FICO is seeking a Senior Analytic Scientist to develop and support analytics solutions in the credit risk space. The role works with real-world data and statistical methods to build analytical models and tools, collaborating with analytical, engineering, and project teams to integrate and deploy software and solutions. This is a hybrid position requiring work onsite at FICO’s Novato, California office 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.
- Senior-level hands-on experience building predictive models and mining data.
- Experience building B2C or B2B analytic solutions.
- Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
- Demonstrated experience working with at least two of the following: R, SQL, SAS, Java, Python, C++, or C.
- Proven experience leading project teams and mentoring junior team members.
Nice To Haves
- Experience working with U.S. Credit Bureau data (highly preferred).
- Experience with analytic techniques such as neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, and linear or non-linear optimization (highly preferred).
- Prior experience working with financial, banking, or consumer lending data.
Responsibilities
- Work with large amounts of real-world data and ensure data quality throughout acquisition and processing, including collection, normalization, and transformation.
- Research and select appropriate statistical methods and computational algorithms.
- Oversee project teams building analytic models and tools using statistical modeling techniques.
- Manage projects under time constraints and collaborate with other FICO teams to support integration and deployment of analytics software and solutions.
- Support model go-lives by performing production data validations and analyzing models in production.
- Assist with client meetings to investigate and resolve problems.
- Apply data mining methodology to analyze model behavior and support customer meetings, model construction, and pre-sales.
- Participate in post-implementation support.
Benefits
- Competitive compensation, benefits, and rewards programs.
- Learning experiences and opportunities for professional development.
- Work/life balance.
- Employee resource groups and social events.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
