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 OpportunityThe 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.  – Director, Analytic Science What You’ll Contribute<ul><li>Build features that enhance and empower consumer understanding of the FICO Score.</li><li>Designs and develops state-of-the-art, data-driven exploratory analysis as well as predictive and decision models to solve business problems. 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.</li><li>Assists with technical product support for new or existing products/services; this includes, but is not limited to, production of sales collateral or ad-hoc investigations initiated by internal or external clients.</li><li>Oversight of project timelines and guidance of other junior analysts.</li><li>May deliver formal presentations of work to clients.</li></ul>What We’re Seeking<ul><li>Bachelor’s Degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Natural Science Field.</li><li>Experience working with U.S. Credit Bureau data (Highly Preferred). </li><li>Experience building B2C-facing analytic solutions (Highly Preferred).</li><li>Hands-on related experience in predictive modeling and data mining. </li><li>Bachelors degree in applied mathematics, statistics, operations research, engineering, computer science or related technical discipline. Course work in probability, statistics and quantitative methods required.</li><li>Related experience (school or industry) in predictive modeling and data mining is preferred.</li><li>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.</li><li>Experience with distributed computing environments (e.g., Spark, Hadoop) and cloud-based environments and services (e.g., AWS) would be a plus.</li><li>Experience analyzing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets.</li><li>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.</li></ul>Our Offer to You<ul><li>An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.</li><li>The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.</li><li>Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.</li><li>​An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.</li><li>The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.</li></ul>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 <a href="http://www.fico.com/Careers" target="_blank">www.fico.com/Careers</a>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 at <a href="https://www.fico.com/en/privacy-policy" target="_blank">https://www.fico.com/en/privacy-policy</a>