Analytic Scientist I

Location: San Rafael, CA

FICO (NYSE: FICO)is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

The need for analytics is everywhere! Want to build something meaningful and have fun while doing it? We do too and have been using cutting edge technology to help build industry leading solutions for businesses and consumers in the credit risk space. If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive here at FICO. You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation. *This is a hybrid role.

Candidates must be able to work onsite from our Novato, CA office at least 3.5 days per week, with the remaining time eligible to be worked remotely.

What You’ll Contribute

Develop and enhance FICO Scores with the latest data and state-of-the-art decisioning techniques.

Design and develop exploratory analyses and predictive models to solve business problems. This includes assessing historical data for modeling suitability, cleaning data, identifying patterns, creating variables, defining sampling criteria and performance definitions, and selecting variables.

Support new and existing products through analytic investigations for internal teams and clients, and through analytic content for sales and client materials.

Document your methods and results thoroughly and explain them clearly to technical and non-technical colleagues.

What We’re Seeking

Bachelor’s Degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Quantitative Science Field.

Hands-on experience, academic or industry, building predictive models on real-world data, including data cleaning and statistical analysis of large datasets.

Exposure to working with financial services or credit data (or similar relevant industry).

Proficiency in one or more of the following: R, Perl, Python, SAS, SQL, Java, C, and C++ and familiarity with basic software design principles and coding standards/best practices.

Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.

Knowledge and exposure to some of the following areas: 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.

Intellectually curious, motivated self-starter with strong potential to learn new concepts quickly and adapt in a fast-paced environment.

Our Offer to You

An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

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.

The targeted base pay range for this role is: $88,000 to $121,000 with this range reflecting differences in candidate knowledge, skills and experience.

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy athttps://www.fico.com/en/privacy-policy